Focused on sharing DevOps, Kubernetes, Linux, Docker, Istio, microservices, Spring Cloud, Python, Go, databases, Nginx, Tomcat, cloud computing, and related technologies.
This guide explains why resource limits are essential in Kubernetes, how to configure Namespace‑level ResourceQuota and Pod‑level Requests/Limits, and provides a practical case study with YAML examples to prevent a single service from exhausting cluster CPU and memory.
A financial services outage caused by misconfigured Kubernetes liveness and readiness probes illustrates how misunderstanding these health checks can trigger costly restart loops, while this guide explains their core differences, proper configuration, advanced strategies, common pitfalls, and monitoring techniques to ensure stable, resilient services.
Learn how to dramatically improve Linux server efficiency by addressing common resource bottlenecks with modern CPU scheduling, memory management, I/O scheduler selection, network tuning, and practical diagnostic tools, while also exploring emerging AI‑assisted optimization trends for future‑proof performance.
This article explains why Docker images bloat, then demonstrates using multi‑stage builds, Alpine base images, and Trivy vulnerability scanning—plus CI/CD integration—to produce lightweight, secure containers and streamline DevSecOps workflows.
This guide walks you through the complete Kubernetes service deployment workflow, covering Docker image creation with multi‑stage builds, pushing to a registry, defining Deployment and Service resources, applying and monitoring them, managing configuration, implementing horizontal pod autoscaling, and integrating logging and monitoring solutions.
In the cloud‑native era, Kubernetes is transforming from a container orchestrator into a full‑stack operating system, with 2025 bringing AI‑native scheduling, integrated security, multi‑cluster and edge convergence, platform‑engineered developer experiences, and tight WebAssembly integration.
This article explains why traditional Linux monitoring tools often miss deep kernel issues and shows how to use eBPF‑based utilities such as biolatency, runqlat, and offcputime to pinpoint CPU, I/O, and lock‑contention problems with concrete command examples and a practical troubleshooting workflow.
When a Harbor registry is deployed on a cloud ECS without a public IP or GUI, you can still list projects, view repositories, retrieve image digests, and delete images entirely through RESTful API calls using curl, followed by a manual garbage‑collection step to reclaim disk space.
This guide shows how to map a low‑level containerd task ID to the corresponding Kubernetes Pod using ctr, kubectl, and jq commands, then provides step‑by‑step debugging actions such as pod inspection, log retrieval, and resource checks to quickly resolve container issues.
Learn how to prevent multiple replica pods from landing on the same node by using Kubernetes Pod Anti-Affinity, understand hard and soft scheduling rules, apply a ready‑to‑use YAML example, and verify that each replica runs on a separate host for high availability.
