Focused on sharing DevOps, Kubernetes, Linux, Docker, Istio, microservices, Spring Cloud, Python, Go, databases, Nginx, Tomcat, cloud computing, and related technologies.
This guide explains the difference between CPU utilization and load average, walks through essential commands like top, sar, iostat, vmstat, uptime, and ps to pinpoint resource hogs, and offers practical steps to resolve high CPU consumption on Linux systems.
This article explains what Docker is and walks through fifteen practical scenarios—from modernizing monolithic apps and accelerating CI/CD pipelines to enabling multi‑tenant isolation and reducing infrastructure costs—showing how containerization transforms development, deployment, and operations.
Explore the 15 most impactful Kubernetes scenarios—from microservices and auto‑scaling to multi‑cloud deployments, AI workloads, edge computing, and compliance—detailing how they boost reliability, efficiency, and cost‑effectiveness, while also highlighting situations where Kubernetes may not be the right choice.
An overnight outage at a financial firm, caused by a misconfigured Kubernetes liveness probe that returned 200 before the app was ready, led to massive losses; the article explains the difference between liveness and readiness probes, proper configuration examples, real‑world scenarios, troubleshooting steps, and best‑practice recommendations to avoid similar failures.
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.
