text $ du -sh node_modules 428M node_modules $ top -p $(pgrep -d ‘,’ node) PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 12842 silas 20 0 1.244g 312.4m 45.2m S 4.2 1.9 0:18.42 node I have spent the last three decades working with the 8051, the AVR, and various ARM Cortex-M … Read more
I’m sitting here looking at a dashboard full of “microservices” consuming 64GB of RAM to serve a basic CRUD application that could have run on a 486 DX2 with 8MB of memory, and I’m being asked to explain what is docker to a generation of developers who think a “server” is an abstract concept living … Read more
text $ node –version v20.11.0 $ npm audit npm audit report cross-fetch <3.1.8 Severity: high Regular Expression Denial of Service – https://github.com/advisories/GHSA-7gc6-9fqp-82jj fix available via npm install [email protected] node_modules/cross-fetch 128 vulnerabilities (42 high, 12 critical) $ vite build … <— Last few GCs —> [14022:0x65c2e00] 15232 ms: Mark-sweep 2032.4 (2048.5) -> 2031.1 (2048.5) MB, 1120.4 … Read more
03:14:02 UTC – The PagerScreams. 03:14:15 UTC – Primary load balancer (Nginx 1.25.2) reports 100% 502 Bad Gateway. 03:14:40 UTC – SSH attempt to prod-app-01 times out. 03:15:10 UTC – Internal Slack channel #ops-fire-drill explodes. 03:16:00 UTC – I realize my third cup of coffee is cold, and my life is a lie. I’m sitting … Read more
[2023-10-14 03:14:22.891] ERROR: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 14.50 GiB (GPU 0; 15.78 GiB total capacity; 11.20 GiB already allocated; 2.45 GiB free; 12.10 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF [2023-10-14 03:14:22.892] … Read more
// This is the specific block of “clever” garbage that took down the // payment gateway at 3:00 AM on a Sunday. // Node v20.11.1 – Production Environment var requestCache = {}; // Global scope leak app.use((req, res, next) => { var correlationId = req.headers[‘x-correlation-id’] || Math.random().toString(); // "Clever" optimization to avoid DB lookups if … Read more
TIMESTAMP: 2024-10-14T04:12:09.442Z INCIDENT ID: SEV-1-8829-BRAVO-KILO STATUS: RESOLVED (MITIGATED BY HARD SHUTDOWN) SYSTEM: CORE-PROVISIONING-ENGINE-V4 ALERT: [CRITICAL] High Error Rate (98.4%) on /v1/billing/reconcile – Pods entering CrashLoopBackOff. 1. The Initial Breach of Logic: When “Probabilistic” Met “Production” At 04:12 UTC, the primary PagerDuty rotation received a flood of alerts indicating that the billing-reconciler-service was failing health checks … Read more
INTERNAL INCIDENT REPORT: RCA-2023-11-14-GEN-AI-COLLAPSE TO: Engineering Department, CTO, Product Management (Read it and weep) FROM: Senior SRE (Incident Lead) STATUS: CRITICAL / POST-MORTEM SUBJECT: Mandatory “Artificial Intelligence” Implementation Standards following the 48-hour Cluster Death Spiral. I have spent the last 48 hours staring at Grafana dashboards that looked like a heart monitor flatlining. I haven’t … Read more
Your Security Checklist is a Liability: Real-World Cybersecurity Best Practices for the Cynical SRE I once took down an entire payment gateway because I thought I was being clever with secret rotation. It was 3:00 AM. I had scripted a rolling update for our production Vault cluster, but I forgot to account for the token … Read more
JavaScript Best Practices: Why Your “Clean Code” is Crashing My Production Nodes It was 3:14 AM on a Tuesday in 2019. I was on-call for a payment processing gateway. Our Node.js worker fleet started dropping like flies. The error? ERR_S3_UPLOAD_FAILED followed immediately by an OOM-killed signal from the Kubelet. I spent four hours digging through … Read more