Tag
DevOps
9 posts
CI/CD, infrastructure as code, observability and SRE practices.
Microservices observability: lessons from the field
Practical lessons from implementing observability in microservices architectures. The three pillars, alerting that works, and operations culture.
Feature flags in production: risk management without slowing development
Feature flag implementation patterns, lifecycle management, stale flag debt, and LaunchDarkly alternatives for teams that deploy to production frequently.
GreenOps and sustainable cloud: measuring and reducing digital carbon footprint
Measuring and reducing the carbon footprint of cloud infrastructure is no longer optional. This whitepaper covers carbon-aware computing, green FinOps and ESG reporting.
Zero Downtime Deployment: Strategies for Never Stopping Production
Zero downtime deployment strategies: blue-green, rolling, canary. Database migrations without interruption, session handling, and rollback in production.
Railway and Modern PaaS: WordPress Deployments That Scale
Railway as an alternative to traditional hosting and Kubernetes for WordPress and Next.js. Architecture, real costs and lessons from production deployments.
Testing in Production: Canary Deployments, Feature Flags, and Chaos Engineering
Practical guide to testing in production: canary releases, progressive rollouts, feature flag management, and first steps with chaos engineering.
Infrastructure as Code: Terraform vs Pulumi vs CDK
Practical comparison of Terraform, Pulumi, and AWS CDK based on real projects. Learning curves, multi-cloud support, testing, and when to choose each one.
Multi-Cloud in Practice: AWS + Azure + GCP in the Same Company
Practical multi-cloud guide: when to use each provider, cross-cloud networking, identity federation, cost governance, and unified CI/CD pipelines.
Kubernetes in Production: Lessons from 3 Years Operating Clusters
Hard-won lessons from running Kubernetes in production for 3 years. When it is worth it, cluster sizing, networking gotchas, security hardening and cost optimization.