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11 articles
A practical guide to implementing GitOps workflows using Flux and ArgoCD, covering repository structure, drift detection, automated reconciliation, and progressive delivery through pull requests.
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.
Protect sensitive credentials in CI/CD pipelines using secret managers, environment isolation, least-privilege access, and audit trails that prevent secret leakage without slowing down deployment velocity.
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.
Compare vector database options including Pinecone, Weaviate, Qdrant, Milvus, and pgvector for AI applications, analyzing indexing strategies, query performance, filtering capabilities, and operational complexity trade-offs.
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.
How to set CPU and memory requests and limits in Kubernetes correctly — avoiding OOMKills, CPU throttling, and wasted cluster capacity with practical sizing strategies.
A service mesh moves networking concerns like retries, circuit breaking, mTLS, and observability out of application code and into the infrastructure layer.
Blue-green deployments eliminate release anxiety by running two identical production environments and switching traffic instantly — here's how to implement them properly.
Running one container is easy — orchestrating hundreds across multiple hosts requires scheduling, networking, service discovery, and self-healing, which is exactly what Kubernetes provides.