{ "tag": "base_v2", "model": "/Volumes/ASAFE/strix/qwen38-27b-4bit", "adapter": null, "rows": [ { "id": "insufficient_breach_suspicion__t2", "scenario": "insufficient_breach_suspicion", "shape": "insufficient", "want": "INSUFFICIENT", "got": "NEED", "correct": false, "tokens": 400, "finish": "length", "output": "REASONING:\n- The file `/usr/local/bin/sysupdate` exists on disk (stat output provided) but is not registered in the `dpkg` database. This indicates it was installed manually (e.g., via a script, `cp`, or a non-package installer) rather than through the system package manager.\n- The file size is ~4.2 MB, which is large for a simple script but plausible for a compiled binary or a bundled application.\n- The modification time is `2026-09-20`, which is in the future relative to the current date (assuming current date is 2024/2025). This is a strong indicator of either a system clock skew or a malicious file with a forged timestamp.\n- The process is running as `root` and making outbound connections to a specific IP on port 443. Legitimate system updates usually connect to well-known domains (e.g., `updates.ubuntu.com`, `dl.google.com`) rather than raw IPs, and often use specific user agents or certificates.\n- The lack of SSH logs around the modification time suggests the file was not placed there via an interactive SSH session, but could have been placed via a cron job, a compromised service, or a rootkit.\n- The name `sysupdate` is generic and could be a legitimate tool (like a custom update script) or a malware masquerading as one.\n\nNEED: \n1. `file /usr/local/bin/sysupdate`\n2. `sha256sum /usr/local/bin/sysupdate`\n3. `strings /usr/local/bin/sysupdate | grep -iE \"http|url|ip|185.220.101.7\"`\n4. `ls -la /proc/8841/exe`\n5. `cat /proc/8841/cmdline |" }, { "id": "insufficient_intermittent_gone_now__t1", "scenario": "insufficient_intermittent_gone_now", "shape": "insufficient", "want": "INSUFFICIENT", "got": "NEED", "correct": false, "tokens": 400, "finish": "length", "output": "REASONING:\n* **Local Interface Health:** The `eth0` statistics show `0` errors, `0` dropped, and `0` overrun on both RX and TX. This rules out local NIC hardware failure, driver buffer exhaustion, or local link flapping (confirmed by \"no kernel link messages\").\n* **Scope of Failure:** The user states the loss was to *one* host and cleared on its own. The network team reports their side was \"clean.\"\n* **Missing Evidence:** The provided output is cumulative since boot. It does not show *when* the loss occurred, *where* it occurred, or *what* the loss looked like (timeouts vs. retransmissions).\n* **Hypothesis Elimination:**\n * *Local NIC:* Ruled out (0 errors/drops).\n * *Local Kernel Stack:* Unlikely to cause 40 min of loss to one host without visible drops/errors, but not fully ruled out without `dmesg` or `ss` data.\n * *Remote Host:* If the remote host's NIC or kernel had a transient issue (e.g., buffer overflow, driver reset, CPU stall), it would appear as loss to the sender.\n * *Path:* If the network team says \"clean,\" they may have only checked their core switches. The loss could be in the remote host's local switch, the remote host's NIC, or a specific path segment not monitored by the \"network team.\"\n\nNEED: \n1. `dmesg -T | grep -iE \"eth0|link|error|drop\" | tail -50` (to check for transient kernel-level issues during the 40-min window)\n2. `ss -ti | grep -A 5 ` (to check TCP retransmission stats for the specific connection, if still" }, { "id": "insufficient_intermittent_slow_no_data__t1", "scenario": "insufficient_intermittent_slow_no_data", "shape": "insufficient", "want": "INSUFFICIENT", "got": null, "correct": false, "tokens": 400, "finish": "length", "output": "**REASONING:**\n* **`top` is a snapshot, not a trend:** A single `top` output (or even a 15-second average) cannot diagnose \"sometimes slow\" issues. It only shows the state at that exact moment.\n* **Load Average is ambiguous:** A load average of 1.20\u20131.44 is not inherently \"bad.\" It depends on the number of CPU cores. If the machine has 4+ cores, this is idle. If it has 1\u20132 cores, it is saturated. We do not know the core count.\n* **I/O vs. CPU:** \"Slow\" web servers are often I/O bound (disk, network, database locks) rather than CPU bound. `top` shows CPU usage but does not show I/O wait (`%wa`) or disk throughput.\n* **Application vs. Infrastructure:** The log shows a 200 OK response. We do not know the *duration* of that request. It could have taken 50ms (fast) or 5000ms (slow). Without timing, we cannot correlate the \"slowness\" with specific requests.\n* **Missing Data:** We have no evidence of memory pressure, swap usage, network latency, database query times, or application-level errors.\n\n**NEED:**\n1. `nproc` (to interpret the load average)\n2. `iostat -x 1 5` (to check for disk I/O saturation)\n3. `grep -E \"time|duration\" /var/log/nginx/access.log | tail -20` (or equivalent app log command to see request durations)\n4. `free -h` (to check for memory pressure/swap)\n5. `dmesg | tail -20` (to check for OOM kills or hardware errors" }, { "id": "insufficient_memory_leak_claim__t1", "scenario": "insufficient_memory_leak_claim", "shape": "insufficient", "want": "INSUFFICIENT", "got": "NEED", "correct": false, "tokens": 400, "finish": "length", "output": "REASONING:\n- **Evidence:** `VmRSS` (2.2 GB) is nearly identical to `VmHWM` (2.2 GB). This indicates the process has reached its peak memory usage and is holding onto it.\n- **Rule Out:** This rules out a simple \"spike and drop\" pattern (e.g., a large batch job that finishes and releases memory). If it were a transient spike, `VmHWM` would be high, but `VmRSS` would likely be lower if the memory was freed.\n- **Rule In:** This pattern is consistent with a **memory leak** (memory allocated but never freed) OR a **memory cache** that has grown to a steady state and is not being evicted.\n- **Missing Evidence:** We do not know if the memory growth is *unbounded* (true leak) or *bounded* (cache). We also do not know *what* is consuming the memory (Python objects, C extensions, file descriptors, etc.).\n- **Conclusion:** You cannot confirm a \"leak\" solely from RSS/HWM. You need to determine if the growth is linear/unbounded over time and identify the object types causing the growth.\n\nNEED: \n1. `cat /proc/1902/status | grep -E \"VmRSS|VmHWM|Threads\"` (to confirm current state)\n2. `ls -l /proc/1902/fd | wc -l` (to check for file descriptor leaks)\n3. `python3 -c \"import sys; print(sys.getsizeof(open('/proc/1902/maps').read()))\"` (to check if maps file is huge, indicating many mappings)\n4. `cat /proc/1902/smaps_rollup` (to get a breakdown of memory types: Rss, Pss, Shared, Private, etc.)\n5." }, { "id": "search_needed_cloud_quota_semantics__t2", "scenario": "search_needed_cloud_quota_semantics", "shape": "search_needed", "want": "SEARCH", "got": "NEED", "correct": false, "tokens": 400, "finish": "length", "output": "REASONING:\n* **Throttling vs. Concurrency:** AWS Lambda distinguishes between *reserved concurrency* (hard limit on simultaneous executions) and *throttling* (rate limiting on new invocations).\n* **Burst Behavior:** If you are not using reserved concurrency, Lambda allows a burst of invocations above the account limit for a short period (typically 1-2 seconds) before throttling kicks in. However, if you *are* using reserved concurrency, the limit is hard.\n* **The \"First Few Seconds\" Clue:** If you saw throttling *before* hitting the 200 concurrency limit, it implies one of two things:\n 1. You have **Reserved Concurrency** set to a value lower than 200 (e.g., 100 or 50), and you hit that hard limit immediately.\n 2. You are hitting the **Account-level Invocation Rate Limit** (RPS), not the concurrency limit. The account limit is often 1000 RPS (or 5000 RPS in some regions/accounts), but if your traffic spike is very sharp (e.g., 5000 requests in 1 second), you can be throttled on *rate* even if your *concurrency* (active executions) is still low.\n* **Region Specifics:** The default account concurrency limit is 1000 in most regions, but the *invocation rate* limit is the more likely culprit for \"throttling before concurrency peaks.\" The specific numeric burst limit is not a fixed public constant like \"200\"; it is dynamic based on your account's historical usage and the region's capacity.\n\nNEED:\n1. `aws lambda get-function-configuration --function-name --region eu-west-1` (Check `ReservedCon" }, { "id": "search_needed_new_release_behaviour__t2", "scenario": "search_needed_new_release_behaviour", "shape": "search_needed", "want": "SEARCH", "got": null, "correct": false, "tokens": 400, "finish": "length", "output": "**REASONING:**\n* **`deb822_repository` availability:** The `deb822_repository` module was introduced in **ansible-core 2.11**. Since you are on **ansible-core 2.16**, the module **exists** and is fully supported.\n* **Ubuntu 24.04 Change:** Ubuntu 24.04 (Noble) removed the `apt-key` command and deprecated the use of `apt-key` for managing GPG keys. The `apt_key` Ansible module relies on the `apt-key` binary, which no longer exists or functions as expected on 24.04.\n* **Ubuntu 22.04 Compatibility:** Ubuntu 22.04 (Jammy) still supports `apt-key` (though deprecated), but it also supports the modern `signed-by` directive in `/etc/apt/sources.list.d/` files.\n* **The Fix:** The `deb822_repository` module is the correct, forward-compatible replacement. It handles the GPG key management internally by writing the key to a file and referencing it via `Signed-By` in the `.sources` file, which works on both 22.04 and 24.04.\n\n**DIAGNOSIS:**\nThe `apt_key` module is broken on Ubuntu 24.04 because the underlying `apt-key` binary was removed. The `deb822_repository` module is available in ansible-core 2.16 and is the correct replacement that works on both Ubuntu 22.04 and 24.04.\n\n**FIX:**\nReplace your `apt_key` and `apt_repository` tasks with a single `deb822_repository` task. This module handles both the key installation and the repository definition in a single, modern, DEB822" }, { "id": "search_not_needed_http2_error__t0", "scenario": "search_not_needed_http2_error", "shape": "search_not_needed", "want": "NEED", "got": "NEED", "correct": true, "tokens": 373, "finish": "stop", "output": "REASONING:\n- `ERR_HTTP2_PROTOCOL_ERROR` is a generic client-side indicator that the HTTP/2 stream or connection was terminated due to a protocol violation (e.g., `GOAWAY` with a non-NO_ERROR code, `RST_STREAM`, or malformed frames).\n- It is **not** inherently an \"obscure\" bug; it is a standard diagnostic signal that the server (or an intermediary) rejected the connection/stream.\n- Common causes include:\n - Server-side resource exhaustion (max concurrent streams, memory limits) causing `GOAWAY` with `ENHANCE_YOUR_CALM` or `INTERNAL_ERROR`.\n - Misconfigured HTTP/2 settings in the web server (Nginx, Apache, HAProxy, etc.).\n - Intermediary proxies (CDNs, load balancers) terminating HTTP/2 connections improperly.\n - Client-side bugs (rare, but possible in specific browser versions).\n- To diagnose, we need to see **what** the server is sending in the `GOAWAY` or `RST_STREAM` frames, and whether the error correlates with specific endpoints, load, or client behavior.\n- We cannot determine the root cause without inspecting the actual HTTP/2 frames or server logs.\n\nNEED: \n1. Run `curl -v --http2 https://your-site.com 2>&1 | grep -E \"GOAWAY|RST_STREAM|HTTP/2|error\"` to capture the specific HTTP/2 error code.\n2. Check your web server logs (Nginx/Apache/HAProxy) for HTTP/2-related warnings or errors around the time of the failure.\n3. If behind a CDN/load balancer, check their HTTP/2 termination logs." }, { "id": "search_not_needed_selinux_denial__t0", "scenario": "search_not_needed_selinux_denial", "shape": "search_not_needed", "want": "NEED", "got": "NEED", "correct": true, "tokens": 361, "finish": "stop", "output": "REASONING:\n- **SELinux is the primary suspect:** Rocky 9 ships with SELinux in `enforcing` mode by default. If the web server's SELinux context does not match the file's context, or if the file was created outside the standard web root (e.g., via a script, `docker cp`, or a different user), SELinux will deny access, resulting in a 403 even if Unix permissions (644) are correct.\n- **Directory permissions are a secondary suspect:** For nginx to read a file, it needs `x` (execute) permission on *every* directory in the path from `/` to the file. If any parent directory lacks `x` for the `nginx` user (or `other`), access is denied.\n- **Ownership is a tertiary suspect:** If the file is owned by a user other than `nginx` or `root`, and the group/other permissions do not allow read, or if the directory is not traversable, access fails.\n- **The \"100 answers\" problem:** Most generic answers ignore SELinux, which is the most common cause on RHEL/Rocky/CentOS 9.\n\nNEED: \n1. `ausearch -m avc -ts recent | grep nginx` (to check for SELinux denials)\n2. `ls -ldZ /var/www/html` (to check SELinux context of the web root)\n3. `ls -ldZ /var/www/html/` (to check SELinux context of the specific file)\n4. `namei -l /var/www/html/` (to check permissions on every directory in the path)" }, { "id": "acl_vs_mode_confusion__t0", "scenario": "acl_vs_mode_confusion", "shape": "misleading", "want": "NEED", "got": "NEED", "correct": true, "tokens": 180, "finish": "stop", "output": "The permissions `-rw-r-----+` grant read access to the `analysts` group, and the `+` indicates an ACL is present. However, the file is owned by `root`.\n\nIf Alice is a member of `analysts`, she should have read access via the group permission **unless**:\n1. An ACL entry explicitly denies her access (ACLs override standard group permissions if a specific user entry exists).\n2. She is not actually in the `analysts` group in the current session (e.g., she logged in before being added to the group).\n3. There is a restrictive ACL on the directory path preventing traversal.\n\nWe need to check the specific ACL entries and Alice's group membership.\n\nNEED: `getfacl /srv/data/report.csv && id alice && namei -l /srv/data/report.csv`" }, { "id": "ipv6_preferred_broken__t0", "scenario": "ipv6_preferred_broken", "shape": "misleading", "want": "NEED", "got": "NEED", "correct": true, "tokens": 400, "finish": "length", "output": "REASONING:\n- \"Randomly slow\" with high variance (20s+) suggests intermittent packet loss, TCP retransmissions, or connection establishment delays rather than consistent CPU/IO saturation.\n- \"Worse from some client networks\" strongly points to a path-specific issue: MTU black holes, asymmetric routing, or ISP-level QoS/throttling affecting specific BGP paths.\n- On Ubuntu 24.04, the default `tcp_congestion_control` is `bbr` or `cubic`; if the path has high RTT or loss, `cubic` can suffer significantly more than `bbr`.\n- 20+ seconds is suspiciously close to the default TCP retransmission timeout (RTO) or the `tcp_retries2` limit, suggesting packets are being dropped and the client is waiting for retransmits.\n- We need to distinguish between: (1) DNS resolution delays, (2) TCP handshake delays, (3) TLS handshake delays, (4) actual data transfer delays, and (5) server-side processing delays.\n- We also need to check for MTU issues (black holes) which cause large packets to be dropped while small ones (like TCP SYN) get through, leading to long stalls.\n\nNEED: \n1. On the **server** (Ubuntu 24.04):\n - `ss -ti | grep -A 5 ':443'` (to see current TCP connection states, retransmits, and congestion control)\n - `dmesg | grep -i -E \"mtu|blackhole|drop\" | tail -20`\n - `sysctl net.ipv4.tcp_congestion_control`\n - `sysctl net.ipv4.tcp_retries2`\n - `cat /proc/net/snmp | grep -i retrans` (run twice, 1" }, { "id": "ntp_vs_timezone__t0", "scenario": "ntp_vs_timezone", "shape": "misleading", "want": "NEED", "got": "NEED", "correct": true, "tokens": 234, "finish": "stop", "output": "REASONING:\n- \"Logs running 2 hours behind\" is a strong indicator of a Time Zone (TZ) mismatch or a stale `TZ` environment variable, rather than a raw clock drift. NTP drifts are typically measured in milliseconds or seconds, not hours.\n- If the system clock were actually 2 hours off, NTP would have corrected it immediately (or failed to sync, but the offset would be visible in `timedatectl`).\n- A 2-hour offset specifically suggests a UTC vs. Local Time confusion (e.g., logs written in UTC, viewed in a local timezone 2 hours ahead, or vice versa).\n- We need to distinguish between:\n 1. The system clock is actually wrong (NTP failure).\n 2. The system clock is correct, but the timezone interpretation is wrong (TZ issue).\n 3. The application is caching an old timezone or using a hardcoded offset.\n\nNEED: `timedatectl status && date && cat /etc/timezone 2>/dev/null || readlink /etc/localtime && echo $TZ`" }, { "id": "acl_vs_mode_confusion__t2", "scenario": "acl_vs_mode_confusion", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "DIAGNOSIS", "correct": true, "tokens": 276, "finish": "stop", "output": "REASONING:\n- The `+` in the `ls` output indicates an Access Control List (ACL) is present.\n- The `getfacl` output shows an explicit ACL entry for `user:alice:---`.\n- In Linux, explicit ACL entries for a specific user take precedence over the file's group permissions.\n- Even though `alice` is in the `analysts` group (which has `r--`), the specific `user:alice:---` entry overrides this, denying her read access.\n- The `mask::r--` entry is the effective permission limit for named users and groups, but since the specific user entry is `---`, the effective permission is `---`.\n\nDIAGNOSIS: An explicit ACL entry for user `alice` is set to `---` (no permissions), which overrides her group membership permissions.\n\nFIX: Remove the restrictive ACL entry for `alice` or change it to allow read access.\n```bash\n# Option 1: Remove the specific user ACL entry (she will then fall back to group permissions)\nsudo setfacl -x u:alice /srv/data/report.csv\n\n# Option 2: Change the specific user ACL entry to allow read\nsudo setfacl -m u:alice:r /srv/data/report.csv\n```" }, { "id": "cron_path__t2", "scenario": "cron_path", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "NEED", "correct": false, "tokens": 144, "finish": "stop", "output": "REASONING:\n- The error `pg_dump: command not found` indicates that the `pg_dump` binary is not in the `PATH` environment variable when the script is executed by cron.\n- Cron jobs run in a minimal environment (typically `PATH=/usr/bin:/bin`), which often excludes directories like `/usr/local/bin` or `/opt/postgresql/bin` where `pg_dump` might be installed.\n- When you run the script manually, your interactive shell has a richer `PATH` that includes the directory containing `pg_dump`, so it works.\n- This is a classic environment mismatch issue, not a script logic error.\n\nNEED: `which pg_dump`" }, { "id": "docker_layer_disk__t2", "scenario": "docker_layer_disk", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "NEED", "correct": false, "tokens": 194, "finish": "stop", "output": "REASONING:\n- The `docker images` output shows 42 images (3 listed + 39 more), with the top 3 alone totaling ~11.8GB. This strongly suggests the disk usage is driven by accumulated image layers, particularly the `` (dangling) images.\n- The `docker ps` output shows only 3 containers, with one exited. This rules out running containers as the primary source of disk bloat (unless they have massive writable layers, but the image count is the more obvious culprit).\n- The `` images are \"dangling\" images, typically created by failed builds or overwritten tags. They are safe to remove and are the most likely cause of the 99% disk usage.\n- We need to confirm the total disk usage breakdown to ensure we're targeting the right component (images vs. volumes vs. logs).\n\nNEED: `docker system df`" }, { "id": "ipv6_preferred_broken__t3", "scenario": "ipv6_preferred_broken", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": null, "correct": false, "tokens": 400, "finish": "length", "output": "**REASONING:**\n* **IPv6 Link-Local Failure:** The `ping` to `fe80::1%eth0` shows 100% packet loss. This indicates that the local IPv6 stack or the network interface is not properly configured for IPv6 communication, or the link is down.\n* **Client Network Variance:** The fact that the issue is worse from *some* client networks suggests a path-dependent problem. If clients are attempting to connect via IPv6 (AAAA records) and the server's IPv6 stack is broken or the path is unstable, they may experience long timeouts before falling back to IPv4 (if the client supports Happy Eyeballs or similar mechanisms) or failing entirely.\n* **Random Slowness:** \"Randomly slow\" often points to connection establishment issues (TCP handshake, TLS negotiation) rather than data transfer. If the client tries IPv6 first, waits for a timeout (often 5-10s+), and then retries over IPv4, this adds significant latency.\n* **Missing Evidence:** We do not yet know if the server is actually serving IPv6, if the clients are attempting IPv6, or if the slowness is in the TCP handshake, TLS handshake, or HTTP response.\n\n**NEED:**\n1. Check if the server has a global IPv6 address and if it is up:\n `ip -6 addr show`\n2. Check if the server is listening on IPv6 for the API port (e.g., 443):\n `ss -tlnp | grep -E ':(443|80)\\s'`\n3. Check the DNS records for your API domain to see if AAAA records are present:\n `dig AAAA `\n4. On a *slow* client machine, capture the connection attempt to see if" }, { "id": "journald_filling_disk__t3", "scenario": "journald_filling_disk", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "NEED", "correct": false, "tokens": 238, "finish": "stop", "output": "REASONING:\n* The log lines provided are `UFW BLOCK` messages from the kernel.\n* These messages are typically logged to `/var/log/kern.log` or `/var/log/syslog` (depending on the distro and rsyslog configuration).\n* The timestamps show multiple entries within seconds (08:40:12 and 08:40:13) from the same source IP (`185.220.101.44`) targeting port 23 (Telnet).\n* This indicates a high-frequency scan or brute-force attempt.\n* If the system is \"barely doing anything\" but receiving constant external scan traffic, the kernel log will grow rapidly.\n* 1GB/day is consistent with a high volume of blocked connection attempts being logged in detail.\n* This rules out application-level disk usage (like databases or user files) as the *primary* cause of the *fast* growth, pointing instead to logging.\n\nNEED: `du -sh /var/log/* | sort -h | tail -10`" }, { "id": "k8s_imagepullbackoff_auth__t2", "scenario": "k8s_imagepullbackoff_auth", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "NEED", "correct": false, "tokens": 109, "finish": "stop", "output": "The `ImagePullBackOff` status indicates the kubelet cannot pull the container image. The ServiceAccount output is irrelevant to this specific error.\n\nTo diagnose, we need to see the specific pull error (e.g., `ErrImagePull`, `ImagePullBackOff` with a reason like `401 Unauthorized`, `403 Forbidden`, `not found`, or `connection refused`).\n\nNEED: `kubectl describe pod -n prod | grep -A 10 \"Events\"`" }, { "id": "k8s_oomkilled_limit__t2", "scenario": "k8s_oomkilled_limit", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": null, "correct": false, "tokens": 273, "finish": "stop", "output": "**REASONING:**\n* **CrashLoopBackOff** indicates the container process is exiting with a non-zero status code or being killed by the kernel (OOMKilled) before the liveness/readiness probes can stabilize, or immediately after.\n* **\"No application error in current logs\"** is a classic symptom of a crash occurring *before* the application's logging framework initializes, or a crash caused by the kernel (OOM) where the app never gets a chance to log a stack trace.\n* **Resource usage (310m CPU, 248Mi Mem)** is low, but this is the *current* state of the pod (likely just after a restart or during a brief stable window). It does not rule out a spike that triggered an OOMKill, nor does it rule out a crash due to missing configuration, permissions, or a bad image entrypoint.\n* **Key missing evidence:** The *previous* container's logs (which contain the crash reason) and the *reason* the container was terminated (Exit Code, Reason, Message).\n\n**NEED:**\n```bash\nkubectl logs worker-6f7b9c4d-p2qwl --previous\nkubectl describe pod worker-6f7b9c4d-p2qwl\n```" }, { "id": "k8s_pending_unschedulable__t2", "scenario": "k8s_pending_unschedulable", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "NEED", "correct": false, "tokens": 304, "finish": "stop", "output": "REASONING:\n- The pod is stuck in `Pending` with no node assigned, which indicates a scheduling failure rather than a container runtime or image pull issue.\n- The `Allocated resources` table shows the node is at 95% CPU request utilization and 65% memory request utilization.\n- The pod requests 1 CPU and 512Mi memory.\n- If the node has a total CPU capacity of 4 cores (4000m), the available CPU is 200m. The pod requires 1000m, which exceeds the available capacity.\n- If the node has a total memory capacity of 8Gi, the available memory is 2800Mi. The pod requires 512Mi, which fits.\n- The high CPU request percentage (95%) strongly suggests the node is CPU-saturated, preventing the scheduler from placing the pod.\n- However, the `Allocated resources` output provided is for a *single* node. If the cluster has multiple nodes, the pod might be pending because *no* node has sufficient CPU, or because of taints/tolerations, or affinity rules.\n- We need to confirm if this is a cluster-wide resource shortage or a specific node issue, and check the pod's events for the exact scheduler reason.\n\nNEED: `kubectl describe pod -n ` and `kubectl get nodes`" }, { "id": "k8s_readiness_probe_fail__t2", "scenario": "k8s_readiness_probe_fail", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "NEED", "correct": false, "tokens": 188, "finish": "stop", "output": "REASONING:\n- The pod is `Running` but the readiness probe fails with HTTP 500, which explains why the Service has zero endpoints (Kubernetes removes endpoints for pods that fail readiness).\n- The application logs show the root cause of the 500: the app cannot connect to the PostgreSQL database (`connection refused` on `10.96.44.12:5432`).\n- The `/healthz` endpoint returns 500 because the health check likely depends on database connectivity, and that dependency is failing.\n- The issue is not with the web service itself, but with its dependency (Postgres) or the network path to it.\n\nNEED: `kubectl get svc db -n && kubectl get endpoints db -n && kubectl get pods -n -l app=postgres`" }, { "id": "keepalive_lb_resets__t2", "scenario": "keepalive_lb_resets", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": null, "correct": false, "tokens": 400, "finish": "length", "output": "**REASONING:**\n* **Symptom:** `send() failed: Connection reset by peer` on an `ESTAB` connection. This means the kernel received a TCP RST packet from the remote peer (the load balancer) while the local socket was still open.\n* **Timing:** \"Idle for a bit over a minute.\" This is the critical clue.\n* **Architecture:** Client -> Load Balancer -> Backend (Debian 12).\n* **Rule Out:** Local kernel `tcp_keepalive_time` (default 7200s) is not the cause because the timeout is ~60s, not 2 hours.\n* **Rule In:** The Load Balancer has an idle timeout set to ~60s. When the LB hits this timeout, it sends a RST (or FIN) to the backend. The backend application (api) is unaware of this LB-side timeout and attempts to send data (or keepalive) on the socket, triggering the RST response.\n* **Missing Evidence:** We need to confirm the LB's idle timeout setting and verify if the backend is sending any traffic (keepalives) before the LB kills the connection.\n\n**NEED:**\n1. **Check LB Configuration:** What is the `idle_timeout` (or equivalent) set to in your load balancer (HAProxy, Nginx, AWS ALB, etc.)?\n2. **Check Backend Keepalive:** Run `ss -tn state established | grep 10.0.4.5` to see if there are other connections to that LB IP.\n3. **Check Kernel TCP Keepalive:** Run `sysctl net.ipv4.tcp_keepalive_time net.ipv4.tcp_keepalive_intvl net.ipv4.tcp_keepalive_probes` on the backend.\n4. **Check Application Keepalive:** Does your `api`" }, { "id": "ntp_vs_timezone__t2", "scenario": "ntp_vs_timezone", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": null, "correct": false, "tokens": 386, "finish": "stop", "output": "**REASONING:**\n* The `System time` field shows the local clock is only **0.000042101 seconds** (42 microseconds) fast relative to the NTP reference. This is well within normal operational tolerance and indicates the NTP daemon is actively syncing and the clock is accurate.\n* The `Ref time` is `Thu Sep 24 08:15:20 2026`. If the current wall-clock date is indeed 2026, the NTP source is providing a correct timestamp.\n* Since the system clock is synchronized to the second (and microsecond) level, the \"2 hours behind\" issue is **not** a system clock drift or NTP failure.\n* A 2-hour discrepancy in logs while the system clock is correct strongly suggests a **Timezone (TZ) mismatch**. The logs are likely being written in a timezone that is 2 hours behind the current wall-clock timezone (e.g., logs in UTC while the user is in UTC+2, or logs in a stale local time while the system is in UTC).\n\n**DIAGNOSIS:**\nThe system clock is correctly synchronized via NTP. The 2-hour discrepancy is caused by a timezone configuration mismatch between the application writing the logs and the user's local time or the expected log timezone.\n\n**FIX:**\n1. Check the current system timezone: `timedatectl` or `date`\n2. Check the timezone used by the specific application/service generating the logs (check its config file or environment variables like `TZ`).\n3. Align the application's timezone setting with the desired log timezone (usually UTC for consistency, or the local timezone if that is the standard).\n4. Restart the application/service to apply the timezone change." }, { "id": "pam_account_expired__t2", "scenario": "pam_account_expired", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "NEED", "correct": false, "tokens": 356, "finish": "stop", "output": "REASONING:\n* The `chage` output confirms the account is not expired, the password is not expired, and the account is not inactive. This rules out time-based account lockouts.\n* \"Denied right after entering the correct password\" is the classic symptom of PAM (Pluggable Authentication Modules) failing *after* the password check succeeds.\n* Since \"nothing else changed,\" the most likely causes are:\n 1. **SELinux/AppArmor denial:** A recent system update or configuration change triggered a security module to block the login process (e.g., `sshd` or `login` binary).\n 2. **PAM configuration error:** A recent edit to `/etc/pam.d/` files (even if unintentional, e.g., by a package update) broke the session or account phase.\n 3. **Disk full:** If `/var` or `/` is 100% full, PAM may fail to write session logs or create necessary temporary files, causing a denial.\n 4. **SSH-specific:** If this is SSH, `MaxAuthTries` or `AuthenticationMethods` changes could cause this, but \"correct password\" suggests the auth itself is failing.\n\nNEED: \n1. `sudo tail -n 50 /var/log/secure` (RHEL/CentOS) OR `sudo tail -n 50 /var/log/auth.log` (Debian/Ubuntu)\n2. `sudo dmesg | grep -i denied`\n3. `df -h / /var`\n4. `sudo getenforce` (if SELinux is installed)" }, { "id": "proxy_strips_real_ip__t2", "scenario": "proxy_strips_real_ip", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": null, "correct": false, "tokens": 400, "finish": "length", "output": "**REASONING:**\n* The application is reading `request.remote_addr`, which returns the IP address of the direct TCP peer.\n* Since the output is `127.0.0.1`, the application is communicating directly with a local proxy (e.g., Nginx, HAProxy, or a load balancer) running on the same host.\n* The application is not parsing `X-Forwarded-For` or `X-Real-IP` headers, which are the standard mechanisms for proxies to pass the original client IP.\n* This explains why all logs show `127.0.0.1` and why IP-based rate limiting is ineffective (it is limiting the local proxy, not the clients).\n\n**DIAGNOSIS:**\nThe application is behind a reverse proxy but is configured to trust the direct socket connection (`127.0.0.1`) instead of the forwarded client IP headers.\n\n**FIX:**\n1. **Verify Proxy Configuration:** Ensure your reverse proxy (Nginx/Apache/HAProxy) is correctly setting the `X-Forwarded-For` and/or `X-Real-IP` headers.\n * *Nginx example:* `proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;` and `proxy_set_header X-Real-IP $remote_addr;`\n2. **Update Application Configuration:** Configure your application framework to trust the proxy and use the forwarded headers for `remote_addr`.\n * *Node.js (Express):* Set `app.set('trust proxy', 1);` (or the number of proxy hops).\n * *Python (Flask/Django):* Configure `X-Forwarded-For` handling in your WSGI/ASGI server or middleware.\n * *Java (Spring Boot):" }, { "id": "rabbitmq_queue_backlog__t2", "scenario": "rabbitmq_queue_backlog", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "NEED", "correct": false, "tokens": 257, "finish": "stop", "output": "REASONING:\n- The `messages_unacknowledged` count (~15,670) is nearly equal to the `prefetch_count` (20,000) for all three consumers. This indicates the consumers have hit their prefetch limit and are blocked, waiting for acknowledgments before accepting new messages.\n- The logs show a specific order (881233) has been \"processing\" for over 105 seconds and then hit a \"DB query timeout.\"\n- Since the consumers are blocked by the prefetch limit and the active processing is stuck on a database timeout, the queue is not draining because the consumers are waiting for the slow/stuck database operations to complete (or fail) so they can acknowledge the messages and free up prefetch slots.\n- This is a classic \"slow consumer\" or \"downstream dependency\" issue, not a RabbitMQ configuration issue.\n\nNEED: \n1. Check the current status of the database (is it overloaded, locked, or down?)\n2. Check if there are other orders stuck in the same \"processing\" state in the worker logs.\n3. Check the RabbitMQ queue depth and consumer lag over time to confirm if it's growing or stable." }, { "id": "readonly_filesystem__t2", "scenario": "readonly_filesystem", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "NEED", "correct": false, "tokens": 229, "finish": "stop", "output": "REASONING:\n* **SMART Data:** The disk reports `PASSED` health with zero reallocated sectors and zero pending sectors. This rules out imminent physical media failure (bad sectors) as the cause of the read-only remount.\n* **Kernel Log:** The `ata1.00: exception ... frozen` followed by `SATA link up` indicates a transient I/O error or link reset.\n* **Behavior:** When the Linux kernel detects an I/O error on a mounted filesystem (especially if the error is not recoverable or if the filesystem is mounted with `errors=remount-ro`), it remounts the filesystem as read-only to prevent further corruption. This matches the \"suddenly can't write\" symptom.\n* **Missing Evidence:** We do not yet know *which* filesystem is read-only, *why* the kernel decided to remount it (specific error type), or if the underlying block device is still healthy.\n\nNEED: `mount | grep -E 'ro|rw'` and `dmesg | tail -50`" }, { "id": "search_needed_cloud_quota_semantics__t1", "scenario": "search_needed_cloud_quota_semantics", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "NEED", "correct": false, "tokens": 351, "finish": "stop", "output": "REASONING:\n- The account-level limit is 1000 concurrent executions, with 800 unreserved. Your function has 200 reserved.\n- The error is `TooManyRequestsException` / \"Rate Exceeded,\" which in AWS Lambda specifically indicates that the function's **invocation rate limit** (requests per second) was exceeded, not the concurrency limit.\n- Concurrency limits produce `ResourceThrottledException` or \"Function timed out\" / \"Concurrency limit reached\" errors.\n- The default invocation rate limit for a Lambda function is 1000 requests per second (RPS). If your traffic spike exceeded 1000 RPS for this specific function, you will get throttling even if you are well below the 200 concurrent execution cap.\n- The evidence rules out account concurrency exhaustion (you have 800 unreserved slots, and the error type is wrong for concurrency).\n- The evidence rules in that the function hit its per-function RPS limit.\n\nNEED: Run `aws lambda get-function --function-name --query 'Configuration.ReservedConcurrentExecutions, Configuration.Timeout'` and check CloudWatch metrics: `aws cloudwatch get-metric-data --metric-data-queries '[{Id:\"m1\",Metric:{Namespace:\"AWS/Lambda\",MetricName:\"Throttles\",Dimensions:[{Name:\"FunctionName\",Value:\"\"}]},Period:60,Stat:\"Sum\"}]' --start-time --end-time ` to confirm the throttle count and verify if RPS exceeded 1000." }, { "id": "search_needed_new_release_behaviour__t1", "scenario": "search_needed_new_release_behaviour", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "DIAGNOSIS", "correct": true, "tokens": 373, "finish": "stop", "output": "REASONING:\n- The error `Unable to locate executable 'apt-key'` and `Command 'apt-key' not found` indicates the `apt-key` binary is missing from the system.\n- In Ubuntu 24.04 (Noble), `apt-key` has been removed from the `apt` package and is no longer available by default. It was deprecated in favor of `gpg` and `keyrings` for a long time, and finally removed.\n- The `apt_key` Ansible module relies on the `apt-key` binary. Since the binary is gone, the module fails.\n- This is a known breaking change in Ubuntu 24.04. The fix is to stop using `apt_key` and instead use the `apt` module with `keyring` or manually install the GPG key to `/etc/apt/keyrings/` and reference it in the sources list.\n\nDIAGNOSIS: The `apt-key` binary was removed in Ubuntu 24.04, causing the `apt_key` Ansible module to fail.\nFIX: Replace the `apt_key` task with the `apt` module using the `keyring` parameter, or manually install the GPG key to `/etc/apt/keyrings/` and update the sources list to reference the new keyring file. Example:\n```yaml\n- name: Add repo key\n ansible.builtin.apt:\n keyring: /etc/apt/keyrings/myrepo.gpg\n update_cache: true\n```\nOr, if you must use a URL, use `ansible.builtin.get_url` to download the key to `/etc/apt/keyrings/` and then use `ansible.builtin.apt` with `keyring`." }, { "id": "search_not_needed_http2_error__t2", "scenario": "search_not_needed_http2_error", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "DIAGNOSIS", "correct": true, "tokens": 255, "finish": "stop", "output": "REASONING:\n- The provided HTTP/1.1 response contains two `Content-Length` headers with conflicting values (`812` and `0`).\n- HTTP/2 is a strict protocol that requires a single, unambiguous `Content-Length` (or `DATA` frame length) for each stream.\n- When a backend (Express) emits duplicate or conflicting `Content-Length` headers, the HTTP/2 proxy or browser client often fails to reconcile the stream length, triggering `ERR_HTTP2_PROTOCOL_ERROR` or `ERR_INVALID_CONTENT_LENGTH`.\n- This is a common application-layer bug (likely a middleware or error handler overwriting the header) rather than an obscure protocol implementation bug in the browser or HTTP/2 stack itself.\n\nDIAGNOSIS: The Express application is emitting duplicate `Content-Length` headers (812 and 0), which violates HTTP/2 stream framing requirements and causes the browser to abort the connection.\nFIX: Identify the middleware or code path in your Express app that is setting `Content-Length` to 0 (likely an error handler, a `res.send()` after a `res.json()`, or a compression middleware conflict) and ensure only one `Content-Length` header is sent." }, { "id": "search_not_needed_selinux_denial__t1", "scenario": "search_not_needed_selinux_denial", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "NEED", "correct": false, "tokens": 171, "finish": "stop", "output": "REASONING:\n- The file permissions (644) and ownership (root) are correct for nginx to read the file if the process has the right context.\n- The `audit` log shows an AVC denial: `httpd_t` (nginx) was denied `read` access to a file labeled `user_home_t`.\n- SELinux is in `Enforcing` mode, so the denial is active.\n- The file is located in `/var/www/example/`, but it is labeled `user_home_t` (typically for `/home/*`), not `httpd_sys_content_t` (the correct label for web content).\n- This is a classic SELinux context mismatch, not a filesystem permission issue.\n\nNEED: `ls -Z /var/www/example/index.html && getenforce`" }, { "id": "swap_thrashing__t2", "scenario": "swap_thrashing", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": "NEED", "correct": false, "tokens": 146, "finish": "stop", "output": "REASONING:\n- `top` shows no CPU pegged, but `mysqld` is consuming ~6.9 GB of RSS.\n- SSH character-level lag with low CPU is the classic signature of **I/O wait** or **memory pressure** (swapping), not CPU saturation.\n- A 6.9 GB process on a box that feels \"unbearably slow\" strongly suggests the system is swapping or thrashing, or the disk is saturated with I/O.\n- We need to confirm if memory is exhausted and if I/O is the bottleneck.\n\nNEED: `free -h; vmstat 1 5; iostat -x 1 5`" }, { "id": "tls_expired__t2", "scenario": "tls_expired", "shape": "interpret_converge", "want": "DIAGNOSIS", "got": null, "correct": false, "tokens": 400, "finish": "length", "output": "REASONING:\n* **Expiry Date vs. \"Last Week\"**: The certificate expiry date is `2026-09-18`. If the user is reporting this issue *now* (assuming \"now\" is before 2026-09-18), the certificate is **not** expired. The `INVALID: EXPIRED` flag in the output is likely a false positive from a tool that is comparing against a wrong system clock, or the output is from a future date. However, the critical error is the renewal failure.\n* **Renewal Failure**: The log shows `Failed to renew certificate example.com ... Could not bind TCP port 80 because it is already in use`. This means Certbot cannot perform the HTTP-01 challenge because another process (likely the web server itself, e.g., Nginx/Apache) is occupying port 80.\n* **Browser \"Invalid\"**: Browsers report \"invalid\" for several reasons:\n 1. Expired certificate.\n 2. Self-signed or untrusted CA.\n 3. Hostname mismatch.\n 4. **Incomplete chain** (missing intermediate CA).\n 5. **Revoked** certificate.\n* **The Conflict**: If the cert isn't expired (date is 2026), why is it invalid?\n * If the *current* cert is valid but the *renewal* failed, the browser should still see the *old* valid cert.\n * Unless: The web server was reconfigured to point to a *new* cert file that is broken (e.g., self-signed, wrong key, or missing intermediate) *because* the renewal process partially failed or a manual attempt was made.\n * OR: The system clock is wrong, making the" }, { "id": "acl_vs_mode_confusion__t1", "scenario": "acl_vs_mode_confusion", "shape": "interpret_continue", "want": "NEED", "got": null, "correct": false, "tokens": 205, "finish": "stop", "output": "**REASONING:**\n* The `+` in the permissions (`-rw-r-----+`) indicates the presence of an Access Control List (ACL).\n* Standard Unix permissions (`rw-r-----`) allow the group `analysts` to read the file.\n* However, when an ACL is present, the ACL entry for the specific user or group takes precedence over the standard group permission bits.\n* If the ACL explicitly denies read access to `alice` or the `analysts` group, or if there is a \"mask\" that restricts the effective permissions, the standard group bits are ignored.\n* The evidence shows the file is owned by `root:analysts` and `alice` is in `analysts`, but the `+` flag is the critical missing piece of information. We need to see the actual ACL entries to determine if they are overriding the group read permission.\n\n**NEED:** `getfacl /srv/data/report.csv`" }, { "id": "cron_path__t1", "scenario": "cron_path", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 205, "finish": "stop", "output": "REASONING:\n- The log entry `CRON[9912]: (ops) CMD (/home/ops/backup.sh)` confirms cron successfully launched the script.\n- The log entry `CRON[9911]: (CRON) info (No MTA installed, discarding output)` confirms the script executed and produced output (likely an error message or log), but cron discarded it because no mail transfer agent is configured.\n- The discrepancy between manual success and cron failure is almost always caused by the cron environment being minimal (restricted `PATH`, `HOME`, `SHELL`, or missing environment variables) or the script failing silently due to the discarded output.\n- We need to see the actual output of the script when run by cron to identify the specific error.\n\nNEED: `cd /home/ops && /home/ops/backup.sh 2>&1 | tee /tmp/backup_cron_test.log; echo \"Exit code: $?\"`" }, { "id": "docker_layer_disk__t1", "scenario": "docker_layer_disk", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 206, "finish": "stop", "output": "REASONING:\n- The `docker system df` output confirms Docker is the primary consumer of the 93GB used on `/`.\n- **Images** account for 68.4GB, with 61.2GB reclaimable (dangling or unused images).\n- **Build Cache** accounts for 14.3GB, with 100% reclaimable (0 active builds).\n- **Volumes** account for 9.8GB, with 6.1GB reclaimable (unused volumes).\n- **Containers** are negligible (420MB).\n- Total reclaimable space is ~81.6GB, which would bring the disk usage down significantly.\n- The 142 images and 204 build cache entries suggest a lack of regular cleanup or a CI/CD pipeline that doesn't prune artifacts.\n\nNEED: `docker system prune -a --volumes --filter \"until=168h\"`" }, { "id": "insufficient_breach_suspicion__t1", "scenario": "insufficient_breach_suspicion", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 400, "finish": "length", "output": "REASONING:\n* **Legitimacy Check:** The name `sysupdate` is generic and not a standard binary in major Linux distributions (like `apt`, `yum`, `dnf`, `zypper`). However, it is a common name for third-party update agents, container runtime helpers, or vendor-specific management tools.\n* **Parent Process:** The PPID is `1` (init/systemd), indicating it is a daemon. This is normal for background services but does not confirm legitimacy.\n* **Network Destination:** `185.220.101.7` is a public IP. Without knowing the vendor or the specific software installed, we cannot definitively say if this is a C2 (Command and Control) server or a legitimate update endpoint.\n* **Binary Location:** `/usr/local/bin` is a common location for manually installed software or scripts, but also for malware.\n* **Missing Evidence:** We do not know what the binary actually is, who installed it, or what it is doing.\n\nNEED:\n1. `file /usr/local/bin/sysupdate`\n2. `sha256sum /usr/local/bin/sysupdate`\n3. `ls -la /usr/local/bin/sysupdate`\n4. `cat /proc/8841/cmdline | tr '\\0' ' '`\n5. `journalctl -u sysupdate --since \"1 hour ago\" | tail -n 20` (if it's a systemd service)\n6. `systemctl status sysupdate` (if it's a systemd service)\n7. `rpm -qf /usr/local/bin/sysupdate` (if RHEL/CentOS/Fedora) OR `dpkg -S /usr/local/bin/sysupdate` (if Debian/Ubuntu)\n8. `strings /usr/local/bin" }, { "id": "ipv6_preferred_broken__t1", "scenario": "ipv6_preferred_broken", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 376, "finish": "stop", "output": "REASONING:\n* The log shows a classic **Happy Eyeballs** failure: the client attempted an IPv6 connection first, which timed out (likely due to a blackhole route, missing BGP prefix, or firewall drop on the client's ISP), before falling back to IPv4.\n* The \"random\" nature and variance by client network are consistent with **IPv6 reachability issues** on the client side or the path to the server, rather than a server-side application issue.\n* The 20+ second delay is the time taken for the IPv6 connection attempt to time out before the client switches to IPv4.\n* This is a network-layer issue, not an application-layer issue.\n\nNEED:\n1. On the **server** (Ubuntu 24.04), check if IPv6 is actually enabled and listening:\n `ip -6 addr show`\n `ss -tlnp | grep ':443'`\n2. On the **server**, check if there are any IPv6 firewall rules dropping traffic:\n `sudo iptables -L -n -v | grep -i ipv6`\n `sudo nft list ruleset | grep -i ipv6`\n3. From a **client** experiencing the issue, test direct IPv6 connectivity to the server:\n `curl -6 -v https://api.example.com`\n `ping6 2001:db8:100::50`\n4. From the **server**, check if the IPv6 address is globally reachable (if you have a public IPv6):\n `curl -6 -v https://api.example.com` (from a different network, e.g., a mobile hotspot)" }, { "id": "ipv6_preferred_broken__t2", "scenario": "ipv6_preferred_broken", "shape": "interpret_continue", "want": "NEED", "got": null, "correct": false, "tokens": 400, "finish": "length", "output": "**REASONING:**\n* **IPv6 Route Presence:** The output shows a default route via `fe80::1` (link-local gateway) with `metric 100`. This confirms the server is configured to accept and route IPv6 traffic.\n* **Dual-Stack Exposure:** The server has both an IPv4 address (`203.0.113.50`) and an IPv6 address (`2001:db8:100::50`).\n* **Client Network Variance:** The symptom \"worse from some client networks\" is a classic signature of **IPv6 connectivity issues**. Some client networks have broken, misconfigured, or congested IPv6 paths (e.g., missing BGP routes, broken NAT64, or carrier-grade NAT issues), while others have healthy IPv6.\n* **Timeout Behavior:** When a client prefers IPv6 (Happy Eyeballs or strict AAAA lookup) and the IPv6 path is broken/blackholed, the connection attempt hangs until the TCP timeout (often 20-30s) expires, then falls back to IPv4. This matches the \"20+ seconds\" delay.\n* **Rule Out:** This is unlikely to be a local CPU/disk issue on the server because the delay is *random* and *network-dependent*, not consistent across all clients.\n\n**NEED:**\n1. Check if the server is actually receiving and responding to IPv6 traffic correctly:\n ```bash\n ss -tlnp | grep -E ':(80|443)\\s'\n ```\n *(Look for `:::80` or `:::443` to confirm the app is listening on IPv6.)*\n\n2. Test the IPv6 path from a client that experiences the slowness (if you have access to one)" }, { "id": "journald_filling_disk__t1", "scenario": "journald_filling_disk", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 364, "finish": "stop", "output": "REASONING:\n- The `du` output shows `/var/log` is the primary consumer (2.4G), with `/var/log/journal` (2.1G) being the dominant subdirectory.\n- The user confirms the journal accounts for 2.1G of the 2.4G in `/var/log`.\n- A \"box that barely does anything\" generating 1GB/day of journal data is abnormal. This indicates either:\n 1. The journal is not being rotated or vacuumed (default retention is often 4 weeks or 4GB, but if `SystemMaxUse` is unset or high, it grows unbounded).\n 2. A specific service is logging excessively (e.g., a crash loop, high-frequency debug logs, or a misconfigured `LogLevel`).\n- The 1.2G in `/var/lib` is secondary but worth noting; however, the journal is the clear culprit for the *fast* growth.\n- We need to determine if the growth is due to retention policy or a specific noisy service.\n\nNEED:\n1. `journalctl --disk-usage`\n2. `systemd-journald.service` config: `cat /etc/systemd/journald.conf` (specifically `SystemMaxUse`, `SystemMaxFileSize`, `Storage`)\n3. `journalctl --list-boots` (to see if it's accumulating across many boots or just one)\n4. `journalctl -p err --since \"1 day ago\" | wc -l` (to check error volume)\n5. `du -sh /var/lib/*` (to identify what in `/var/lib` is growing, in case it's also contributing)" }, { "id": "journald_filling_disk__t2", "scenario": "journald_filling_disk", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 265, "finish": "stop", "output": "REASONING:\n* The provided output is a truncated `top` or `ps` snapshot showing only three processes. It does not contain filesystem usage data, inode counts, or log file sizes.\n* \"Filling up fast\" implies a rate of change, which requires comparing current state against a baseline or identifying the specific files growing.\n* On a low-activity box, the most common causes for `/var` growth are:\n 1. Log files (syslog, auth.log, kern.log) not being rotated or compressed.\n 2. Journal logs (`/var/log/journal`) growing unbounded.\n 3. Mail spool (`/var/mail`) filling up with spam or failed deliveries.\n 4. Cache directories (`/var/cache`) or temporary files (`/var/tmp`) accumulating.\n 5. Database logs or data (if a DB is running, though \"barely does anything\" suggests otherwise).\n* We need to identify *which* subdirectory of `/var` is consuming the space and *which* specific files are the largest.\n\nNEED: `du -sh /var/* 2>/dev/null | sort -rh | head -10`" }, { "id": "k8s_imagepullbackoff_auth__t1", "scenario": "k8s_imagepullbackoff_auth", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 200, "finish": "stop", "output": "REASONING:\n- The error `unauthorized: authentication required` from the registry daemon indicates the kubelet on `node-1` lacks valid credentials to pull `registry.example.com/billing:2.0.1`.\n- This is a credential/permission issue, not a network connectivity or image-not-found issue.\n- The pod is in the `prod` namespace, so the `imagePullSecrets` must be defined in the pod spec (or default service account) within that namespace.\n- The kubelet uses `imagePullSecrets` from the pod spec to create a temporary credential file for the container runtime. If missing, invalid, or expired, the pull fails with 401/403.\n\nNEED: kubectl get pod billing-8c6f9d7b6-4k9z -n prod -o jsonpath='{.spec.imagePullSecrets}' && kubectl get secrets -n prod" }, { "id": "k8s_oomkilled_limit__t1", "scenario": "k8s_oomkilled_limit", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 234, "finish": "stop", "output": "REASONING:\n- The `Last State` explicitly shows `Reason: OOMKilled` and `Exit Code: 137`. This is the definitive cause of the restarts.\n- Exit code 137 corresponds to `SIGKILL` (128 + 9), which is how the Linux kernel terminates a process when it exceeds its cgroup memory limit.\n- The pod has a hard memory limit of `256Mi`. The kernel is killing the process because it is trying to use more than 256Mi of RAM.\n- The absence of application errors in the logs is expected: the kernel kills the process instantly, so the application does not have time to flush logs or handle a graceful shutdown.\n- This rules out application logic errors, network issues, or liveness probe failures as the primary cause.\n\nNEED: kubectl describe pod worker-6f7b9c4d8-p2qwl | grep -A 5 \"Last State\" && kubectl top pod worker-6f7b9c4d8-p2qwl --containers" }, { "id": "k8s_pending_unschedulable__t1", "scenario": "k8s_pending_unschedulable", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 273, "finish": "stop", "output": "REASONING:\n- The event `0/3 nodes are available: 3 Insufficient cpu` indicates that the scheduler evaluated all 3 nodes and found that none had enough allocatable CPU to satisfy the pod's `requests.cpu`.\n- The `preemption: 0/3 nodes are available: 3 No preemption victims found` message confirms that the scheduler also checked for lower-priority pods that could be evicted to make room, but found none. This means the existing pods on the nodes are either higher priority or the total requested CPU on the nodes is already at or above the node's allocatable limit, leaving no room for this new pod.\n- Since the pod is `Pending` with no node assigned, it is not a node health issue (which would typically show `Unschedulable` or `NotReady` nodes) but a resource capacity issue.\n- The cause is a CPU resource shortage across the cluster.\n\nNEED: `kubectl describe node ` for all 3 nodes to check `Allocatable` vs `Allocated` CPU, and `kubectl get pods -A -o custom-columns=NAME:.metadata.name,NODE:.spec.nodeName,CPU_REQ:.spec.containers[*].resources.requests.cpu --all-namespaces` to see the total CPU requests per node." }, { "id": "k8s_readiness_probe_fail__t1", "scenario": "k8s_readiness_probe_fail", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 134, "finish": "stop", "output": "REASONING:\n- The `READY 0/1` status indicates the container is failing its readiness probe.\n- Kubernetes removes endpoints from the Service when the readiness probe fails, explaining the `` endpoints.\n- Traffic to the Service times out because there are no valid endpoints to route to.\n- The pod is `Running` because the container process is alive, but it is not passing the health check required to receive traffic.\n- The cause is a failing readiness probe, not a network or service definition issue.\n\nNEED: `kubectl describe pod web-5b9c7f8d6-t7xqp`" }, { "id": "keepalive_lb_resets__t1", "scenario": "keepalive_lb_resets", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 321, "finish": "stop", "output": "REASONING:\n- The provided kernel parameters (`tcp_keepalive_time = 7200`) mean the OS will not send a TCP keepalive probe until 2 hours of inactivity. This rules out the Linux kernel sending keepalives to keep the connection alive.\n- The symptom (reset after ~1 minute idle) is a classic signature of a stateful load balancer or firewall dropping the connection state due to an idle timeout, which then sends a TCP RST to the client when the client attempts to reuse the connection.\n- Since the backend is Debian 12 and you \"never touched keepalive settings,\" the issue is almost certainly the load balancer's idle timeout being shorter than the client's HTTP keep-alive timeout, or the LB simply expiring the connection state.\n- We need to confirm the load balancer's idle timeout and check if the backend is actually receiving RSTs or if the LB is terminating the connection.\n\nNEED: \n1. What load balancer are you using (e.g., HAProxy, Nginx, AWS ALB, F5, etc.)?\n2. Run on the backend: `ss -tn state established | grep ` to see if connections are still present after the client reports a reset.\n3. Run on the backend: `tcpdump -i any -nn 'tcp[tcpflags] & (tcp-rst) != 0'` while a client triggers the issue to see if the RST is coming from the LB or the backend." }, { "id": "ntp_vs_timezone__t1", "scenario": "ntp_vs_timezone", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 292, "finish": "stop", "output": "The `timedatectl` output shows the system clock is synchronized and the NTP service is active. This rules out a system-wide clock drift or a stopped NTP daemon. If the system clock is correct, the 2-hour discrepancy in your logs is likely due to the application writing logs in a different time zone (e.g., local time vs. UTC) or a specific application-level clock issue, rather than the OS time being wrong.\n\nTo confirm the system time is truly correct and to check for any subtle drift or NTP source issues, we need to look at the NTP status and the actual time source.\n\nREASONING:\n- `timedatectl` reports \"System clock synchronized: yes\" and \"NTP service: active\".\n- This indicates the OS clock is being managed and is currently in sync with a time source.\n- A 2-hour offset in logs with a correct system clock usually points to a time zone mismatch in the logging application or a specific process using a different time source.\n- We need to verify the NTP source and offset to be absolutely certain the sync is healthy and not just \"active\" but failing to correct a large offset.\n\nNEED: `timedatectl show --all | grep -E \"NTP|Timezone|RTC\"` and `chronyc tracking` (or `ntpq -p` if using ntpd)" }, { "id": "pam_account_expired__t1", "scenario": "pam_account_expired", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 137, "finish": "stop", "output": "REASONING:\n- The logs explicitly state `pam_unix(sshd:account): account tuser has expired`.\n- This is a PAM `account` phase failure, which occurs *after* successful authentication (password check) but *before* session establishment.\n- The \"nothing else changed\" constraint is satisfied because account expiration is a time-based event; the `expire` date in `/etc/shadow` was likely set in the past, and today is the first day the system clock crossed that threshold.\n- This rules out password errors, SSH config changes, or network issues.\n\nNEED: `sudo chage -l tuser`" }, { "id": "proxy_strips_real_ip__t1", "scenario": "proxy_strips_real_ip", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 160, "finish": "stop", "output": "REASONING:\n- The log entries showing `127.0.0.1` indicate that the application is reading the client IP from the `REMOTE_ADDR` variable (or equivalent), which reflects the immediate upstream connection.\n- The provided Nginx configuration lacks the `proxy_set_header X-Forwarded-For $remote_addr;` directive.\n- Without this header, the application cannot distinguish between the Nginx proxy and the actual client, causing all requests to appear as coming from the loopback interface.\n- This configuration gap directly explains why IP-based rate limiting is failing, as the rate limiter is likely keying on the incorrect IP address.\n\nNEED: `grep -r \"X-Forwarded-For\" /etc/nginx/`" }, { "id": "rabbitmq_queue_backlog__t1", "scenario": "rabbitmq_queue_backlog", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 170, "finish": "stop", "output": "REASONING:\n- The queue has 47,009 unacknowledged messages and only 1,204 ready.\n- There are 3 consumers connected.\n- The ratio of unacknowledged to ready messages is extremely high (~39:1).\n- This indicates that consumers are receiving messages (prefetching) but are not sending acknowledgments (`basic.ack`) back to RabbitMQ.\n- Since the messages are \"in-flight\" (unacked), they are not available for redelivery to other consumers, causing the queue to appear \"stuck\" even though consumers are connected.\n- This is a classic symptom of consumer application logic hanging, crashing without cleanup, or a bug in the acknowledgment handling code.\n\nNEED: `rabbitmqctl list_consumers`" }, { "id": "readonly_filesystem__t1", "scenario": "readonly_filesystem", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 299, "finish": "stop", "output": "REASONING:\n- The `mount` output shows `ro` and `errors=remount-ro`, confirming the filesystem is currently read-only.\n- The kernel log shows a sequence of events:\n 1. `ata1.00: exception ... frozen` and `failed command: READ FPDMA QUEUED`: The SATA controller detected a hardware-level error on the disk.\n 2. `ata1: hard resetting link`: The controller attempted to recover the link.\n 3. `Buffer I/O error on device sda1`: The I/O request failed at the block layer.\n 4. `EXT4-fs error ... Detected aborted journal`: The ext4 journal detected the I/O failure and aborted to prevent data corruption.\n 5. `Remounting filesystem read-only`: The kernel automatically remounted the filesystem as read-only to protect the data.\n- This is a classic \"I/O error -> journal abort -> remount RO\" sequence.\n- The root cause is a hardware failure or severe degradation of the disk `/dev/sda` (or the SATA cable/controller), not a software configuration issue.\n- The app cannot write because the kernel has locked the filesystem to prevent further corruption.\n\nNEED: `dmesg | grep -i \"sda\\|ata1\" | tail -50` and `smartctl -a /dev/sda`" }, { "id": "search_not_needed_http2_error__t1", "scenario": "search_not_needed_http2_error", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 254, "finish": "stop", "output": "REASONING:\n- The nginx error log explicitly states `upstream sent invalid header while reading response header from upstream`. This is the definitive cause.\n- The error occurs when nginx (acting as an HTTP/2 server) receives a response from the backend (`127.0.0.1:9000`) that violates HTTP/1.1 or HTTP/2 header rules (e.g., invalid characters in header values, missing `:status` pseudo-header if the upstream speaks HTTP/2, or malformed framing).\n- The browser error `ERR_HTTP2_PROTOCOL_ERROR` is a client-side manifestation of the server sending a `RST_STREAM` or `GOAWAY` frame because nginx detected the invalid upstream response and aborted the stream.\n- This is not an obscure protocol bug in the browser or nginx itself, but a data integrity issue in the upstream application's response headers.\n- The curl output confirms the 502 Bad Gateway, which is nginx's standard response when it cannot process the upstream response.\n\nNEED: Run `curl -v http://127.0.0.1:9000/api/data` to inspect the raw headers returned by the upstream application." }, { "id": "swap_thrashing__t1", "scenario": "swap_thrashing", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 272, "finish": "stop", "output": "REASONING:\n- **Memory Pressure:** `free` shows only 96Mi free and 140Mi available. The system is relying heavily on swap (3.8Gi used out of 4.0Gi).\n- **I/O Wait:** `top` shows `wa` (iowait) at 75-76%. This is the primary cause of the lag. The CPU is idle, but it is waiting for disk I/O to complete.\n- **Swap Thrashing:** `si` (swap in) and `so` (swap out) are consistently high (4-5 MB/s). Combined with the high iowait, this indicates the system is \"thrashing\"\u2014constantly swapping pages in and out of memory because there isn't enough RAM to hold the working set.\n- **Blocked Processes:** `b` (blocked) is 4-5, confirming processes are stuck waiting for I/O.\n- **Conclusion:** The slowness is not due to CPU load (us/sy are low) but due to severe memory exhaustion causing excessive swap I/O, which saturates the disk and delays all process execution, including SSH character handling.\n\nNEED: `vmstat 1 5` and `iostat -x 1 5`" }, { "id": "tls_expired__t1", "scenario": "tls_expired", "shape": "interpret_continue", "want": "NEED", "got": "NEED", "correct": true, "tokens": 272, "finish": "stop", "output": "REASONING:\n- The certificate is issued by Let's Encrypt (R11) and is currently within its validity window (Jun 20 2026 \u2013 Sep 18 2026), so the \"invalid\" error is not due to expiration.\n- The subject is `CN=example.com`. If the browser is accessing a different hostname (e.g., `www.example.com` or a subdomain) that is not listed in the Subject Alternative Names (SANs), the certificate will be rejected.\n- The output provided only shows the Subject, not the SANs. Let's Encrypt certificates always include SANs; if the accessed hostname is missing from them, the cert is invalid for that host.\n- Alternatively, the server might be serving a different certificate (e.g., a self-signed or expired one) for the specific IP/port, or the chain is incomplete (missing intermediate), though the latter usually yields a different specific error.\n- Since it was \"fine last week,\" a recent change (DNS, server config, cert renewal) likely occurred.\n\nNEED: `openssl s_client -connect example.com:443 -servername example.com 2>/dev/null | openssl x509 -noout -text | grep -A1 \"Subject Alternative Name\"`" }, { "id": "cron_path__t0", "scenario": "cron_path", "shape": "triage", "want": "NEED", "got": null, "correct": false, "tokens": 400, "finish": "length", "output": "**REASONING:**\n* **Environment Mismatch:** Cron runs in a minimal environment (typically `PATH=/usr/bin:/bin`, `HOME=/`, `SHELL=/bin/sh`). Manual execution uses your interactive shell profile (`.bashrc`, `.profile`), which sets a rich `PATH` and environment variables.\n* **Silent Failure:** If the script relies on a binary not in the default cron `PATH` (e.g., `rsync`, `pg_dump`, `python3` in `/usr/local/bin`), or an environment variable (e.g., `PGPASSWORD`, `AWS_ACCESS_KEY`), it will fail immediately.\n* **Logging Gap:** By default, cron sends output to the user's mail spool. If mail is not configured or the user ignores it, the error is invisible.\n* **Permissions/SELinux:** The script or its target directories might have permissions or SELinux contexts that block execution in the cron context but allow it in the interactive context (less common for \"does nothing\" vs \"permission denied\", but possible if the script exits 0 on error).\n\n**NEED:**\n1. `cat /var/log/cron` (or `journalctl -u cron` / `journalctl -u crond` depending on distro) to see if cron attempted to run it.\n2. `ls -l /var/mail/$USER` (or `mail $USER`) to check for error output sent to your mailbox.\n3. `crontab -l` to verify the exact line and ensure the script path is absolute.\n4. `head -20 /path/to/your/backup_script.sh` to check the shebang line (must be `#!/bin/bash` or `#!/bin/sh`, not `#!/usr/bin/env bash` if `env` isn't in cron's PATH, though usually it is)." }, { "id": "docker_layer_disk__t0", "scenario": "docker_layer_disk", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 154, "finish": "stop", "output": "REASONING:\n- `df` confirms the filesystem is full, but does not identify the consumer.\n- Docker stores data in `/var/lib/docker` by default (images, containers, volumes, build cache).\n- We need to quantify Docker's footprint and identify the largest components (images vs. containers vs. volumes vs. build cache).\n- We also need to check if Docker is using a different storage driver or location, and if there are large files outside Docker that might be contributing.\n\nNEED: `docker system df -v` && `du -sh /var/lib/docker/*` && `du -sh /var/lib/docker/overlay2/* 2>/dev/null | sort -rh | head -10`" }, { "id": "insufficient_breach_suspicion__t0", "scenario": "insufficient_breach_suspicion", "shape": "triage", "want": "NEED", "got": null, "correct": false, "tokens": 400, "finish": "length", "output": "**REASONING:**\n* **Name is not identity:** The process name `sysupdate` is a generic string that can be set by any binary via `argv[0]` or `prctl(PR_SET_NAME)`. It does not prove the binary is a legitimate system updater.\n* **IP Reputation is inconclusive:** `185.220.101.7` is a public IP. Without checking its ASN, geolocation, and threat intelligence feeds, we cannot confirm if it is a C2 server, a legitimate CDN, or a false positive.\n* **Root privilege is expected:** Many legitimate system services (package managers, telemetry, license checkers) run as root. However, malware also runs as root.\n* **Missing Evidence:** We do not know the executable path, the binary's hash, the parent process, or the file age. A legitimate `apt` or `yum` update might be in progress, or a rootkit might be masquerading as one.\n\n**NEED:**\n```bash\n# 1. Identify the actual executable path and command line\nls -l /proc/8841/exe\ncat /proc/8841/cmdline | tr '\\0' ' '\n\n# 2. Check the parent process (who started it?)\nps -o ppid= -p 8841\nps -p $(ps -o ppid= -p 8841) -o pid,ppid,user,cmd\n\n# 3. Check file age and hash (is it a known binary?)\nstat /proc/8841/exe\nsha256sum /proc/8841/exe\n\n# 4. Check network connection details (local port, state)\nss -tnp | grep 8841\n# or\nnetstat -tn" }, { "id": "insufficient_intermittent_gone_now__t0", "scenario": "insufficient_intermittent_gone_now", "shape": "triage", "want": "NEED", "got": null, "correct": false, "tokens": 400, "finish": "length", "output": "**REASONING:**\n* **Scope:** The issue was isolated to a single host for a specific duration (40 minutes) and self-resolved. This rules out upstream ISP or core network failures, which would typically affect multiple hosts or persist until manual intervention.\n* **Network Team Input:** \"Clean\" side implies no errors, drops, or congestion were observed on the switch ports or upstream links. This shifts suspicion to the local host stack, the local physical connection, or a local software process.\n* **Self-Resolution:** The fact that it cleared on its own suggests a transient resource exhaustion, a temporary hardware glitch (e.g., cable, SFP, NIC), or a software state reset (e.g., driver reset, buffer overflow recovery).\n* **Missing Evidence:** We do not yet know *where* the packets were lost. They could have been dropped by the local NIC, the local kernel, the remote host, or a local firewall/rate-limiting rule. We need to check local logs and interface statistics to pinpoint the drop location.\n\n**NEED:**\n1. `dmesg -T | grep -iE \"error|drop|reset|link|nic|eth|enp\"` (Check for kernel-level NIC errors, link flaps, or driver resets during the incident window)\n2. `sar -n DEV 1 | grep ` (If `sysstat` is installed, check for historical per-second packet drops/errors on the specific interface; if not, check `ifconfig ` or `ip -s link show ` for cumulative counters to see if they spiked)\n3. `ss -s` and `netstat -s | grep -iE \"drop|error|overflow\"` (Check current socket statistics for buffer overflows or retransmissions that might indicate local congestion)\n4. `journalctl" }, { "id": "insufficient_intermittent_slow_no_data__t0", "scenario": "insufficient_intermittent_slow_no_data", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 288, "finish": "stop", "output": "REASONING:\n- \"Sometimes slow\" implies intermittent latency, not constant high load. `top` shows a snapshot of CPU/memory utilization; if the system is idle or lightly loaded, `top` will look \"fine\" even if the application is experiencing latency spikes.\n- `top` does not capture I/O wait, network latency, disk I/O latency, or application-level bottlenecks (e.g., database locks, slow queries, GC pauses, connection pool exhaustion).\n- Without time-series data or specific latency metrics, a single `top` snapshot is insufficient to diagnose intermittent performance issues.\n- We need to determine *where* the latency is occurring (network, application, database, disk) and *when* it occurs.\n\nNEED: \n1. `sar -n DEV 1 10` (to check for network saturation or errors)\n2. `iostat -x 1 10` (to check for disk I/O wait or saturation)\n3. `ss -s` (to check socket states, particularly TIME_WAIT or CLOSE_WAIT buildup)\n4. `dmesg -T | tail -50` (to check for kernel-level errors, OOM kills, or hardware issues)\n5. If you have access to application logs or APM tools, provide the last 10 minutes of logs showing slow request timestamps." }, { "id": "insufficient_memory_leak_claim__t0", "scenario": "insufficient_memory_leak_claim", "shape": "triage", "want": "NEED", "got": null, "correct": false, "tokens": 400, "finish": "length", "output": "**REASONING:**\n* **RSS growth is not proof of a leak:** RSS (Resident Set Size) includes the entire virtual memory footprint mapped to the process. Python's memory allocator (pymalloc) and the underlying C libraries (like glibc) often retain freed memory in arenas or pools to avoid the overhead of repeated `malloc`/`free` system calls. This is known as \"memory fragmentation\" or \"allocator retention,\" not a leak.\n* **Timeframe is ambiguous:** Growth from 900MB to 2.1GB since Monday is a ~1.2GB increase. Without knowing the traffic volume, request complexity, or whether the service is under load, this could be normal cache warming, large object processing, or legitimate data retention.\n* **Missing critical metrics:** We need to distinguish between *leak* (memory never freed) and *fragmentation* (memory freed but not returned to OS). We also need to know if the growth is linear with time or correlated with request count.\n* **Python-specific behavior:** Python does not return memory to the OS easily. If the service processes large objects, RSS will grow and stay high even if the objects are garbage collected. This is often misidentified as a leak.\n\n**NEED:**\n1. `ps -o pid,rss,vsz,comm -p ` (to confirm current RSS and VSZ)\n2. `cat /proc//status | grep -E \"VmRSS|VmSize|VmData|VmStk\"` (to see detailed memory breakdown)\n3. `python3 -c \"import sys; print(sys.getsizeof(open('/proc//mem','rb').read(1024)))\"` (sanity check, but better:)\n4. **Crucial:** Run this to check if Python is actually holding onto objects:" }, { "id": "journald_filling_disk__t0", "scenario": "journald_filling_disk", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 144, "finish": "stop", "output": "REASONING:\n* `/var` is a catch-all for logs, mail, spool, and cache. A 1GB/day growth on an idle box suggests unbounded logging, a runaway cron job, or a stuck service writing to disk.\n* We need to identify *which* subdirectory is growing and *which* files are the largest.\n* We need to check if the growth is historical (old logs) or active (current logs).\n* We need to rule out disk space vs. inode exhaustion (though 1GB/day usually implies space).\n\nNEED: `du -sh /var/* | sort -rh | head -10`" }, { "id": "k8s_imagepullbackoff_auth__t0", "scenario": "k8s_imagepullbackoff_auth", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 98, "finish": "stop", "output": "REASONING:\n- `ImagePullBackOff` indicates the kubelet failed to pull the container image.\n- Common causes include: incorrect image name/tag, missing registry credentials (ImagePullSecrets), network connectivity issues to the registry, or the image not existing in the specified registry.\n- We need to see the specific error message from the pod events to distinguish between these causes.\n\nNEED: `kubectl describe pod -n `" }, { "id": "k8s_oomkilled_limit__t0", "scenario": "k8s_oomkilled_limit", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 314, "finish": "stop", "output": "REASONING:\n- `CrashLoopBackOff` indicates the container process is exiting with a non-zero status or failing a liveness/readiness probe, but the *current* logs are empty or clean.\n- This discrepancy usually means the crash happens *before* the application starts logging, or the logs from the previous failed attempt are not being shown by default.\n- `kubectl logs` by default only shows logs from the *current* (running or just-crashed) container instance. If the app crashes immediately, the current logs might be empty, while the *previous* instance's logs contain the actual error.\n- Other possibilities: OOMKilled (no app logs, just kernel/infra logs), liveness probe failure (app is running but probe fails), or image pull issues (though that usually shows `ImagePullBackOff`, not `CrashLoopBackOff`).\n\nNEED:\n```bash\n# 1. Check the previous container's logs (most likely to contain the real error)\nkubectl logs -c --previous\n\n# 2. Check pod events for OOMKilled, probe failures, or other infra-level issues\nkubectl describe pod \n\n# 3. Check if the container is being OOMKilled (look for \"Reason: OOMKilled\" in describe output)\nkubectl get pod -o jsonpath='{.status.containerStatuses[*].lastState.terminated.reason}'\n```" }, { "id": "k8s_pending_unschedulable__t0", "scenario": "k8s_pending_unschedulable", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 220, "finish": "stop", "output": "REASONING:\n- A pod stuck in `Pending` with no node assigned indicates the scheduler could not find a suitable node.\n- This is distinct from `ContainerCreating` or `ImagePullBackOff`, which imply a node was assigned but the kubelet failed to start the container.\n- The most common causes for \"no node assigned\" are:\n 1. Insufficient resources (CPU/Memory) on all nodes.\n 2. Taints/Tolerations mismatch (e.g., node is dedicated or cordoned).\n 3. Node Affinity/Selector constraints not matching any node.\n 4. Pod Disruption Budgets or other admission controllers blocking scheduling (less common for initial pending).\n 5. Scheduler itself is down or misconfigured (less likely if other pods are scheduling).\n- We need to inspect the pod's `status.conditions` and `events` to see the specific reason the scheduler rejected all nodes.\n\nNEED: `kubectl describe pod -n `" }, { "id": "k8s_readiness_probe_fail__t0", "scenario": "k8s_readiness_probe_fail", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 400, "finish": "length", "output": "REASONING:\n- **Pod Status vs. Network Reachability:** `kubectl get pods` showing `Running` only confirms the container process is alive and passed liveness/readiness probes (if defined). It does **not** guarantee the application is listening on the expected port or that network policies allow traffic.\n- **Timeout vs. Connection Refused:** A `curl` timeout (rather than `Connection refused`) suggests the packet is being dropped or blackholed, not that the port is closed. This points to:\n - NetworkPolicy blocking ingress.\n - Service selector mismatch (Service not routing to this Pod).\n - Pod IP not being reachable from the client (CNI issue, node network issue).\n - Application binding to `127.0.0.1` instead of `0.0.0.0` (though this usually causes `Connection refused` if the port is open, it can cause timeouts if the firewall drops packets to non-loopback interfaces).\n- **\"Zero Endpoints\":** This is the critical clue. If the Service has zero endpoints, `kubectl get endpoints ` will be empty. This means the Service is not selecting any Pods. This happens when:\n - The Pod labels do not match the Service selector.\n - The Pod is not in `Ready` state (but you said it's `Running`; check `READY` column).\n - The Pod is in a different namespace (Services don't cross namespaces).\n - The Pod is not in a schedulable/ready state due to readiness probe failure (even if `Running`, if `READY` is `0/1`, it won't be an endpoint).\n\nNEED: \n1. `kubectl get pods -n -o wide` (to see Pod IP, Node, and READY status)\n2. `kubectl get svc -n /dev/null` and `cat /etc/nginx/conf.d/*.conf 2>/dev/null || cat /etc/nginx/sites-enabled/* 2>/dev/null`" }, { "id": "rabbitmq_queue_backlog__t0", "scenario": "rabbitmq_queue_backlog", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 257, "finish": "stop", "output": "REASONING:\n- \"Consumers are connected\" confirms the TCP/AMQP layer is healthy, ruling out network or authentication failures.\n- Messages piling up while consumers are connected typically indicates one of three states:\n 1. **Unacked backlog**: Consumers received messages but crashed or are stuck in processing, leaving them in the \"unacked\" state. If the channel is closed, these may not be requeued immediately depending on `x-delivery-limit` or consumer behavior.\n 2. **Prefetch limit**: Consumers have hit their `basic.qos` prefetch limit and are waiting for acknowledgments before accepting new messages.\n 3. **Consumer logic hang**: The consumer application is alive but blocked (e.g., deadlocked, waiting on a slow downstream dependency, or infinite loop) and never sends `basic.ack`.\n- We need to distinguish between \"consumers are idle but not receiving\" (routing/prefetch issue) and \"consumers are busy/stuck\" (processing issue).\n\nNEED:\n1. `rabbitmqctl list_queues name messages messages_ready messages_unacked consumers`\n2. `rabbitmqctl list_consumers`\n3. `rabbitmqctl list_channels`" }, { "id": "readonly_filesystem__t0", "scenario": "readonly_filesystem", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 125, "finish": "stop", "output": "REASONING:\n- \"Read-only file system\" (EROFS) on every write indicates the kernel has remounted the filesystem as read-only, or the underlying block device is failing and the kernel has taken it offline.\n- This is a system-level state, not an application permission issue (which would yield EACCES/EPERM).\n- We need to confirm the mount state and check for I/O errors that triggered the remount.\n\nNEED: `mount | grep -E ' / | /var | /home'` and `dmesg | tail -50`" }, { "id": "search_needed_cloud_quota_semantics__t0", "scenario": "search_needed_cloud_quota_semantics", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 400, "finish": "length", "output": "REASONING:\n- \"Throttling\" in AWS Lambda is a specific error type (`ThrottlingException` or `429` status) that occurs when the **reserved concurrency** or **unreserved concurrency** limit for the specific function is exceeded, not necessarily the account-wide limit.\n- The account-wide limit (default 1,000, max 10,000+) is a hard ceiling, but individual functions have their own effective limit: `min(ReservedConcurrency, UnreservedPool)`.\n- If you have not explicitly set `ReservedConcurrency` on the function, it draws from the unreserved pool. If other functions in the same account are consuming the unreserved pool, or if the function\u2019s own burst capacity is exhausted, it will throttle even if the account total is low.\n- Traffic spikes can cause a sudden increase in concurrent executions that exceeds the function\u2019s effective limit, triggering throttling.\n- We need to distinguish between:\n 1. Function-level reserved concurrency limit hit.\n 2. Unreserved pool exhaustion (shared with other functions).\n 3. Account-wide limit hit (less likely if you say you\u2019re \"nowhere near\" it, but possible if other functions are consuming it).\n 4. Provisioned concurrency exhaustion (if enabled).\n\nNEED: \n1. `aws lambda get-function --function-name --query 'Configuration.{ReservedConcurrency:ReservedConcurrency,ProvisionedConcurrencyConfig:ProvisionedConcurrencyConfig}'`\n2. `aws cloudwatch get-metric-statistics --namespace AWS/Lambda --metric-name Throttles --dimensions Name=FunctionName,Value= --start-time --end-time --period 60 --statistics Sum`\n3. `aws cloudwatch get-metric-statistics --namespace AWS/Lambda --metric-name Concurrent" }, { "id": "search_needed_new_release_behaviour__t0", "scenario": "search_needed_new_release_behaviour", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 206, "finish": "stop", "output": "REASONING:\n- Ubuntu 24.04 (Noble) removed the `apt-key` binary and the `/etc/apt/trusted.gpg.d` keyring mechanism.\n- The `apt_key` Ansible module relies on the `apt-key` command, which no longer exists, causing the \"deprecated keyring\" or \"command not found\" failure.\n- The modern, supported method for managing APT keys is to place `.gpg` or `.asc` files directly in `/etc/apt/trusted.gpg.d/` or `/usr/share/keyrings/` and reference them in the source line of the `.list` file.\n- The fix requires replacing the `apt_key` task with a `copy` or `template` task to install the key file, and updating the `apt` task's `keyring` parameter to point to that file.\n\nNEED: `grep -rn \"apt_key\" /path/to/your/playbook/`" }, { "id": "swap_thrashing__t0", "scenario": "swap_thrashing", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 400, "finish": "length", "output": "REASONING:\n- **I/O Wait is the primary suspect:** `top` often hides the root cause of \"laggy typing\" if the CPU is idle but the disk is saturated. If the `wa` (iowait) column in `top` is high, or if the system is spending time waiting for disk I/O, every keystroke in SSH (which involves writing to the terminal buffer and potentially swapping) will feel delayed.\n- **Memory Pressure/Swap Thrashing:** If the box is out of RAM, the kernel may be swapping pages in and out rapidly. This causes massive I/O load and latency, even if no single process shows 100% CPU.\n- **Network Latency vs. Local Processing:** SSH typing lag can be network-related (high RTT/jitter) or local (slow terminal emulation/processing). Since you said \"nothing obviously pegged in top,\" we need to rule out local resource contention first, as it's more common for \"unbearably slow\" boxes.\n- **Filesystem Issues:** A full disk, a failing disk, or a network filesystem (NFS/CIFS) hang can cause the entire system to stall.\n\nNEED: \n1. `top -b -n 1 | head -20` (to check the `%Cpu(s)` line for `wa` iowait and `si/so` swap in/out)\n2. `free -h` (to check available memory and swap usage)\n3. `df -h` (to check if any filesystem is 100% full)\n4. `iostat -x 1 3` (to see which disk device is busy and its await time; if `iostat` is not installed, run `cat /proc/diskstats`)\n5. `dmesg | tail -50` (to check for kernel errors, disk failures," }, { "id": "tls_expired__t0", "scenario": "tls_expired", "shape": "triage", "want": "NEED", "got": "NEED", "correct": true, "tokens": 367, "finish": "stop", "output": "REASONING:\n- \"Invalid\" is a generic browser error; the specific cause (expired, wrong CA, hostname mismatch, incomplete chain) is unknown.\n- \"Fine last week\" suggests a recent change: certificate rotation, expiry, DNS change, or CA trust store update.\n- We need to distinguish between:\n 1. Certificate expired (check `notAfter` date).\n 2. Hostname mismatch (CN/SAN doesn't match the URL users are visiting).\n 3. Incomplete chain (intermediate cert missing on server).\n 4. Untrusted CA (self-signed or untrusted root).\n 5. DNS pointing to a different server/IP with a different cert.\n- We must inspect the actual certificate served by the server and compare it to what the browser expects.\n\nNEED: \n1. `openssl s_client -connect :443 -servername 2>/dev/null | openssl x509 -noout -dates -subject -issuer`\n2. `openssl s_client -connect :443 -servername 2>/dev/null | openssl x509 -noout -text | grep -A1 \"Subject Alternative Name\"`\n3. `curl -vI https:// 2>&1 | grep -E \"SSL|certificate|expire|subject|issuer\"`\n4. `date` (to compare against cert expiry)\n5. If you have access to the server: `ls -la /etc/letsencrypt/live//` or wherever your certs are stored, and `openssl x509 -in -noout -dates`" } ] }