webcoderspeed.com
23 articles
Master ArgoCD''s App of Apps pattern, ApplicationSet for multi-environment deployments, sync waves for ordered rollouts, and disaster recovery strategies for production GitOps pipelines.
Auto-scaling is supposed to save you during traffic spikes. But misconfigured scalers can thrash (scaling up and down every few minutes), scale too slowly to help, or scale to so many instances they exhaust your database connection pool. Here''s how to tune auto-scaling to actually work.
Master EKS node group strategies, intelligently autoscale with Karpenter, manage add-ons, implement IRSA for fine-grained IAM, plan cluster upgrades, and optimize costs with Spot instances.
Build secure containers with non-root users, distroless base images, multi-stage builds, and runtime security. Learn seccomp profiles, image scanning, SBOM generation.
You scale your app to 3 instances. Your daily billing cron runs on all 3 simultaneously. 3x the emails, 3x the charges, 3x the chaos. Distributed cron requires distributed locking. Here''s how to ensure your scheduled jobs run exactly once across any number of instances.
Compare blue/green, canary, rolling updates, and shadow traffic. Implement with Argo Rollouts and decide which strategy fits your risk tolerance.
Observe traffic and performance at the kernel level with eBPF. No code changes needed. Learn Cilium, Parca, and continuous profiling.
GitOps principles, ArgoCD app-of-apps pattern, automated sync vs manual approval, sealed secrets, drift detection, rollback via git revert, progressive delivery with Argo Rollouts.
Design Kubernetes health checks, dependency health aggregation, and graceful degradation. Learn when to check dependencies and avoid cascading failures.
Master Helm chart design with sensible defaults, comprehensive testing, and promotion pipelines. Scale from single-chart deployments to Helmfile-orchestrated multi-chart platforms.
Scale Kubernetes workloads based on queue depth, Kafka lag, cron schedules, and custom metrics. Master KEDA architecture, combine with HPA, and optimize for cold starts and production reliability.
Deploy inference workloads on Kubernetes with vLLM, GPU scheduling, autoscaling, and spot instances for cost-effective large-language model serving.
Implement zero-trust networking with Kubernetes NetworkPolicies. Learn default-deny patterns, label-based pod selection, DNS egress, multi-namespace policies, and testing with netshoot.
Master Kubernetes resource requests and limits to prevent OOMKills, CPU throttling, and cascading failures. Learn QoS classes, LimitRange, VPA, HPA, and the complete right-sizing workflow for production workloads.
Stop storing base64-encoded secrets in etcd. Evaluate External Secrets Operator, HashiCorp Vault, Sealed Secrets, and secret rotation strategies for GitOps-native Kubernetes deployments.
Your service elects a leader to run background jobs. The network hiccups for 5 seconds. The old leader thinks it''s still leader. The new leader also thinks it''s leader. Both start processing the same queue. Now you have duplicate work, corrupted state, and a split-brain.
A misconfigured load balancer can route all traffic to one server while others idle, drop connections silently, or fail to detect unhealthy backends. These problems are invisible until they cause production incidents. Here are the most dangerous LB misconfigurations and how to fix them.
Implement bulletproof shutdown. Handle SIGTERM/SIGINT, drain database connections, stop consuming messages, align with K8s termination periods, and test shutdown reliability.
Deploy Istio service mesh for automatic mTLS, traffic management, and observability. Learn sidecar injection, mTLS enforcement, canary deployments with VirtualService, circuit breaking, distributed tracing, and when a service mesh is overkill.
You restart your service for a hotfix. Within seconds, the new instance is overwhelmed — not by normal traffic, but by a thundering herd of requests that had queued up during the restart. Here''s why it happens and how to protect your service from its own restart.
Your marketing team runs a campaign. It goes viral. Traffic spikes 50x in 10 minutes. Your servers crash. This is the happiest disaster in tech — and it''s entirely preventable. Here''s how to build systems that survive sudden viral traffic spikes.
Master zero-downtime deployments with rolling updates, graceful shutdown, health checks, and blue/green strategies. Learn SIGTERM handling and preStop hooks.
Implementing zero trust security for microservices: mTLS, service identities, fine-grained policies, and short-lived credentials without downtime.