DevOps — Page 4 of 8
Browsing page 4 of 8 — 95 articles on devops.
Log-Based Alerting in Production: Pattern Detection, Anomaly Scoring, and Noise Reduction for Engineering Teams
A practical guide to building log-based alerting systems that go beyond metrics. Covers ingestion, pattern detection, anomaly scoring with z-scores, noise reduction, and routing across Loki, Datadog, and CloudWatch.
Automated Database Schema Validation in CI/CD: Migration Safety Checks, Backward Compatibility Testing, and Deployment Gates
How to build a CI pipeline that catches dangerous database migrations before they reach production, covering linting, backward compatibility testing, and deployment gates for Postgres and MySQL.
Monitoring Serverless Applications: Cold Start Profiling, Tail Latency Analysis, and Custom Metrics for Edge Functions
Traditional APM tools fail in serverless and edge environments. Here is how to build reliable observability for cold starts, tail latency, custom metrics, and distributed traces across ephemeral runtimes.
Production Readiness for AI Applications: Model Versioning, Inference Monitoring, and Rollback Strategies for LLM Deployments
A devops guide to the new requirements of running LLM applications in production, covering model and prompt versioning, inference-specific monitoring, rollback strategies, deployment patterns, and CI/CD gates built on eval suites.
Deploying ML Models Behind Feature Flags: Gradual Rollouts, Shadow Mode, and A/B Testing for AI in Production
How to safely deploy machine learning models and LLM-powered features using feature flag infrastructure. Covers shadow mode deployments, percentage-based rollouts with automatic rollback, A/B testing with statistical significance, and the observability layer needed to compare model versions in production.
HIPAA Engineering for Startups: PHI Encryption, Access Controls, and Audit Architecture Without Enterprise Tooling
A practical engineering guide for startup teams that need HIPAA compliance without dedicated compliance staff or enterprise budgets. Covers PHI classification, encryption patterns, RBAC, audit logging, and the 2026 Security Rule update.
Production Debugging in Node.js: CPU Profiling, Memory Leak Detection, and Flame Graph Analysis
A practical guide to diagnosing CPU and memory problems in live Node.js applications without taking them offline. Covers profiling tools, heap snapshots, flame graphs, async hooks, and continuous profiling workflows.
Kubernetes Autoscaling in Production: HPA, VPA, KEDA, and Custom Metrics for Cost-Efficient Scaling
A practical guide to Kubernetes autoscaling mechanisms for production workloads. When to use HPA, VPA, and KEDA, how they interact, and the configuration decisions that determine whether you save money or cause incidents.
Platform Engineering for Startups: Internal Developer Platforms Without Enterprise Overhead
A practical guide to building an internal developer platform at startup scale. Covers the minimum viable platform, build vs buy decisions for each component, golden paths, developer self-service, when to hire a platform engineer, and a phased roadmap from seed to Series B.
Zero-Trust Architecture for Startups: Identity-Aware Proxies, Microsegmentation, and Least-Privilege Access Without Enterprise Budgets
A practical guide to zero-trust security for startups and small engineering teams. Covers identity-aware proxies, network microsegmentation with Tailscale and Cloudflare Tunnel, service-to-service mTLS, least-privilege IAM, device trust, and a concrete implementation order.
Build Caching Strategies for CI/CD: Docker Layer Caching, Dependency Caching, and Reducing Pipeline Times by 80%
A practical guide to CI/CD build caching strategies: Docker layer ordering, npm/pnpm lockfile caches, Turborepo remote caching for monorepos, test result caching, and artifact reuse. Includes before/after benchmarks and tradeoffs table for GitHub Actions and GitLab CI.
Policy as Code in Practice: Open Policy Agent, Rego, and Automated Compliance Enforcement in CI/CD Pipelines
How to encode security, compliance, and operational policies as version-controlled code using OPA, Rego, and TypeScript. Covers Kubernetes admission control, Terraform plan validation, API authorization, CI/CD gates, policy testing, and production tradeoffs against Cedar and Sentinel.