In-depth guides on Docker, Kubernetes, AWS, CI/CD, AI/ML, and modern infrastructure — written by engineers, for engineers.
Showing 190–198 of 815 articles
Page 22 of 91
Stop getting ignored on LinkedIn. Learn the 3-part DM formula, what not to say, how to approach hiring managers vs recruiters, and realistic response rates for DevOps engineers targeting US and EU companies.
Honest comparison of Hetzner, AWS, and DigitalOcean for DevOps teams. Real pricing for a 3-node Kubernetes cluster, what you give up with Hetzner, and when each platform is the right choice.
Real attack patterns on LLM applications and how to defend against them. Covers direct prompt injection, indirect injection via RAG documents, context poisoning, and Python code for secure vs vulnerable patterns.
Comparing Render, Railway, and Fly.io as Heroku alternatives in 2026. Pricing, Dockerfile support, databases, auto-scaling, cold starts, and when to use PaaS vs managing your own Kubernetes.
Kubernetes Endpoints and EndpointSlices explained from scratch — how Services use them to route traffic to pods, why empty Endpoints means no traffic reaches your app, and how to debug selector mismatches.
Build a Python script that collects pending PRs, firing Prometheus alerts, Kubernetes warnings, and failed CI jobs, then uses Claude API to generate a prioritized morning briefing posted to Slack.
Stop sending 'please refer me' cold DMs. This is the referral strategy that actually works in 2026 — building real relationships, writing the right ask, and making it easy for people to say yes.
Honest hands-on review of groundcover — the eBPF-based Kubernetes observability platform. What you get out of the box, how it compares to Datadog and Dynatrace, real limitations, and a final verdict.
Build production-grade LLM error handling in Python. Covers exponential backoff, fallback chains, circuit breaker pattern, timeout budgets, and dead letter queues using tenacity.