In the landscape of modern cloud-native development, accelerating release cycles is a primary goal. However, this velocity cannot come at the expense of security. Integrating security practices directly into the automated pipeline—a philosophy known as DevSecOps—is no longer a "nice-to-have" but a fundamental requirement. For teams running Java applications on AWS, leveraging a Jenkins CI/CD DevSecOps pipeline to deploy to the Elastic Container Service (ECS) represents a powerful, scalable, and secure solution. This comprehensive guide details the entire process, from source code to a running, secure container in the cloud. We will construct a declarative Jenkins pipeline that automatically builds, tests, and packages a Java application. More importantly, we'll embed critical security scanning—SAST, SCA, and container vulnerability scanning—before promoting the artifact to AWS ECS. This article provides a production-ready template for building security into yo...

Nginx is the powerhouse of the modern web, renowned for its high performance, stability, and scalability. It's the engine behind millions of the world's busiest websites. But with great power comes great responsibility. A default Nginx installation is just a starting point; it's not a fortress. In a production environment, securing Nginx is not an optional task—it's a critical, continuous process to protect your data, your users, and your reputation. An unsecured server is a wide-open invitation for automated bots, malicious actors, and data thieves. The threats range from brute-force login attempts and DDoS attacks to data interception and application-level vulnerabilities. This guide provides seven practical, high-impact tips focused on two key pillars of defense: encrypting data in transit with TLS (formerly SSL) and actively blocking threats with Fail2Ban. These steps will dramatically improve your Nginx server's security posture. Why Securing Nginx is Non-...

Let's be honest. You're a developer. You're great at writing code, solving complex logic problems, and building features. But lately, everyone—your tech lead, the DevOps team, that new senior engineer—keeps talking about "Dockerizing the app," "container pipelines," and "service orchestration." You've nodded along, maybe even run a docker pull command someone sent you, but you feel fundamentally lost. When you try to read about it, you're hit with a wall of jargon: cgroups, namespaces, storage drivers, and orchestration. It's overwhelming. You are not alone. Many developers find themselves in this exact position. The good news is that you don't need to be a kernel-hacking sysadmin to use Docker effectively. You just need a map to navigate the essentials. This Docker Survival Guide is that map. We'll skip the low-level kernel features and focus on the practical concepts and commands you need to survive, build, and ship yo...

In the world of DevOps and SRE, the Linux kernel is the foundation upon which all applications and services are built. When things go wrong—when latency spikes, throughput drops, or servers buckle under load—the blame game is useless. What's required is data. This is where Linux performance tuning becomes an indispensable skill. It’s the art and science of diagnosing bottlenecks at the system level and optimizing resource usage. While classic tools like top and iostat provide a high-level overview, modern, complex issues demand a more powerful lens. Enter perf , the most powerful profiling tool built directly into the Linux kernel. This comprehensive guide will take you on a deep dive into Linux performance tuning. We'll start with the "why," explore the core pillars of system performance, and then spend significant time mastering the perf command. We'll also cover other essential tools and look at the future of Linux observability with eBPF, providing y...

In less than a decade, containers and Kubernetes have fundamentally reshaped how we build, deploy, and scale software. From monolithic applications to sprawling microservice architectures, this cloud-native stack is the undisputed champion of modern infrastructure. But with great power comes a vastly expanded and dynamic attack surface. The security strategies that worked for static virtual machines are insufficient for the ephemeral, API-driven world of Kubernetes. As we look to the horizon, the evolution of Read more of Container and Kubernetes Security is not just about new tools; it's about a paradigm shift in how we approach defense, moving from reactive gatekeeping to proactive, intelligent, and deeply integrated security postures. The "secure the perimeter" model is dead. In a Kubernetes cluster, the "perimeter" is everywhere—at the API server, within the node, between pods, and all the way left in the CI/CD pipeline. The future of this domain ...