Tutorials, stack comparisons, tool reviews, and productivity tips — code that ships.
Most teams adopt SLOs by copying Google's book and end up with 30 dashboards nobody reads. The version that earns its keep is two SLIs per service, an error budget that drives real decisions, and a quarterly review. Here is the working setup and the rule that keeps SLOs from becoming bureaucracy.
Most “chaos engineering” discussions are about Chaos Monkey at Netflix and have nothing to do with how a 20-engineer team should test resilience. The five drills here are practical, scoped, runnable in an afternoon, and will surface the broken assumption your monitoring missed.
Most “PWA support” is a manifest.json and an install prompt. Real offline-first apps need a service worker that handles caching, navigation fallbacks, and background sync. Here is the 80-line service worker that gets you a working offline experience and the three traps that crash your app the first time the network comes back.
Almost every team starts with a .env file in 1Password and ends with secrets in Slack. Here are the three credible options for production secrets (Vault, SOPS-encrypted-in-git, cloud-native AWS/GCP) with the trade-offs, the migration paths, and the rotation policy that survives a year.
Most teams write the API, then write the OpenAPI spec, then watch them diverge until the docs are useless. The fix is to make the spec the source of truth: generate types, validation, mocks, and clients from it. Here is the workflow that survives, and the tools that make it tractable.
Two-phase commit is the textbook answer for distributed transactions. It also doesn't survive contact with real systems. The saga pattern (orchestrated or choreographed) is what production systems actually use. Here is the difference, the implementation patterns, and the compensation logic that handles the inevitable failure cases.
Default HPA scales on CPU, which is wrong for most modern workloads. Memory, queue depth, request rate, and custom business metrics are what actually correlate with “need more pods.” Here is the working setup with custom metrics, the formula HPA uses, and the four mistakes that cause flapping.
A 2 TB events table is hard to manage and impossible to clean. Time-based partitioning turns it into 30 small tables you can drop on a cron. Here is the working pattern with declarative partitioning, automated partition management, and the three traps that catch teams new to it.
Redlock is the most-recommended distributed-lock algorithm and the one with the most published criticism. The truth: simple Redis locks are fine for most teams, Redlock fixes a narrow set of failure modes most teams don't experience, and the cases where you really need correctness call for Postgres or Zookeeper. Here is the decision tree.
HTTP/3 fixes head-of-line blocking that HTTP/2 introduced, but most apps will never feel the difference. The wins are concentrated in mobile, lossy networks, and CDN-served static assets. Here is the technical difference, the cases where it actually matters, and the cases where it doesn't.