DevOps practices, CI/CD, and automation
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These are the actual questions asked at Amazon, Google, and top startups. Not "what is Linux?" fluff -- real questions that test whether you can operate production systems under pressure. Each answer is concise enough to give in an interview, with the exact command or concept you need.
Whether you are preparing for your first DevOps role or interviewing for a senior platform engineering position, Terraform questions will come up. This post covers 50 questions organized by difficulty, each with a concise answer and code snippet where relevant. Use it as a study guide, a refresher, or a reference to evaluate candidates.
87% of machine learning models never make it to production. Not because the models are bad, but because the gap between a Jupyter notebook and a reliable production system is enormous. MLOps bridges that gap by applying DevOps principles to the ML lifecycle. Meanwhile, AIOps flips the script — using AI to make operations smarter. Together, they represent the frontier of modern DevOps.
Running Docker on your laptop is simple. Running it across 500 developers, 2000 CI runners, and production clusters behind corporate firewalls is a different challenge entirely. Enterprise Docker means dealing with rate limits, network restrictions, compliance requirements, and operational concerns that never appear in tutorials. This post covers the infrastructure patterns that make Docker work at scale: registry mirrors that eliminate rate limits, build caches that cut CI time by 80%, air-gapped deployments for restricted environments, and governance policies that keep everything secure.
Most Kubernetes performance problems are not in your application code. They are in the platform underneath — an etcd database that has not been defragmented in months, an API server drowning in audit logs, a scheduler that takes 5 seconds to place a pod, or CoreDNS adding 30ms to every service call. Fixing these is free performance you are leaving on the table.
Single point of failure = guaranteed downtime. Your app might be perfect, your code might be clean, but if it runs on one server and that server dies at 3 AM, your customers see a blank page. High availability isn't optional for production -- it's the minimum bar. Let's build infrastructure that survives server failures automatically.