
Docker Development Workflows That Actually Work
Stop fighting Docker in local dev: multi-stage builds, bind mounts, Compose overrides, and the patterns that make containers feel native.
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Pipelines & infrastructure · 34 articles

Stop fighting Docker in local dev: multi-stage builds, bind mounts, Compose overrides, and the patterns that make containers feel native.

How to design CI/CD pipelines that are fast, reliable, and actually trusted by your team — covering caching, parallelism, environment parity, and deployment strategies.

Design monitoring and alerting systems that surface real problems using SLO-based alerts, symptom-based detection, alert routing hierarchies, runbook automation, and noise reduction techniques that keep on-call engineers focused on what matters.

Configure Kubernetes liveness, readiness, and startup probes correctly to prevent cascading failures, avoid unnecessary restarts, and ensure traffic only reaches pods that are genuinely ready to serve requests.

A hands-on guide to managing cloud infrastructure with Pulumi and TypeScript, covering resource composition, state management, secrets handling, and testing infrastructure code with real programming language features.

A practical guide to implementing GitOps workflows using Flux and ArgoCD, covering repository structure, drift detection, automated reconciliation, and progressive delivery through pull requests.

A practical guide to implementing zero-downtime deployment strategies including blue-green deployments, canary releases, and rolling updates with automated rollback mechanisms.

A practical comparison of Pulumi and Terraform for infrastructure as code, demonstrating how general-purpose languages enable abstractions, testing, and composition patterns that HCL cannot express.

Understand service mesh architecture through practical Istio and Linkerd examples covering traffic management, mutual TLS, observability, and circuit breaking, with honest guidance on when a service mesh adds value versus unnecessary complexity.

Set up a complete observability stack with Prometheus metrics, structured JSON logging, and OpenTelemetry distributed tracing using practical examples that show how each signal connects to enable effective production debugging.

Implement GitOps workflows that manage Kubernetes infrastructure through pull requests using ArgoCD and Flux, with practical examples of repository structure, sync policies, health checks, and rollback strategies.

Master Kubernetes resource requests, limits, QoS classes, Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and cluster autoscaling with practical configurations that balance performance, cost, and reliability.

Explore practical infrastructure testing strategies using Terratest and Pulumi's testing frameworks, from unit-testing resource configurations to integration-testing provisioned cloud environments with automated teardown.

Implement GitOps workflows with ArgoCD for Kubernetes infrastructure management, covering application-of-applications pattern, secret handling, drift detection, multi-cluster sync, and progressive rollout integration.

Design internal developer platforms that abstract infrastructure complexity, provide self-service capabilities, reduce cognitive load on application teams, and accelerate delivery across the organization.

Implement GitOps workflows using declarative configurations and Git-driven deployment pipelines that bring version control, auditability, and reproducibility to Kubernetes cluster management.

Master Kubernetes network policies to control pod-to-pod traffic, implement microsegmentation, and build defense-in-depth for your cluster workloads.

A hands-on guide to instrumenting Node.js applications with OpenTelemetry — covering traces, metrics, and logs with auto-instrumentation, custom spans, context propagation, and exporter configuration.

How to set CPU and memory requests and limits in Kubernetes correctly — avoiding OOMKills, CPU throttling, and wasted cluster capacity with practical sizing strategies.

How to go from 'it takes 2 days to onboard' to 'it takes 20 minutes' — using Dev Containers, shell scripts, and infrastructure-as-code patterns to create reproducible, one-command developer environments.

How to build on-call rotations that keep systems reliable without burning out your team — covering scheduling, escalation policies, runbook design, and incident response workflows.

How to build a complete observability stack — connecting distributed traces, structured logs, and metrics to debug production issues faster than monitoring alone.

Practical GitHub Actions patterns for automating CI/CD, code quality checks, dependency updates, and release workflows — with reusable workflow examples.

A hands-on guide to Kubernetes Pods, Deployments, and Services — covering the core abstractions you need to run production workloads.

How to build a productive Docker Compose setup for local development with hot reloading, database persistence, and parity with production.

Canary deployments shift a small percentage of traffic to the new version and automatically roll back if error rates spike — here's how to implement them safely.

Blue-green deployments eliminate release anxiety by running two identical production environments and switching traffic instantly — here's how to implement them properly.

Service Level Objectives transform vague reliability goals into measurable contracts — here's how to define SLIs, set SLOs, and use error budgets to balance reliability with velocity.

Alert fatigue kills incident response — build a monitoring strategy around SLIs, meaningful thresholds, and actionable alerts instead of noisy dashboards.

Workspaces, remote state, module registries, and code review workflows — the patterns that make Terraform manageable when multiple engineers touch infrastructure.

Treat infrastructure like application code — version it, review it, test it, and deploy it through a pipeline instead of clicking through consoles.

Running one container is easy — orchestrating hundreds across multiple hosts requires scheduling, networking, service discovery, and self-healing, which is exactly what Kubernetes provides.

Cold starts are the hidden tax of serverless — understand what causes them, how much they cost in latency, and practical strategies to keep functions warm.

Stop scattering process.env calls across your codebase — validate, type, and centralize environment configuration for safer deployments.