DevOps Tools & Technologies

Securing Linux Servers from Denial of Service Attacks: Prevention, Tools, and Best Practices

Linux servers power a vast majority of the internet’s infrastructure—from web hosting to cloud services and enterprise applications. While Linux is renowned for its stability and security, it is not immune to cyber threats, especially Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks. These attacks can cripple servers by overwhelming them with […]

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The DevOps Safety Net: Building Secure, Traceable, and High-Quality Pipelines

Software development world, delivering reliable, secure, and high-quality applications continuously is non-negotiable. Yet, the complexity of modern systems and the speed of deployments can introduce risks that threaten stability and compliance. This is where the concept of a DevOps safety net becomes essential – embedding automated rollbacks, traceability, and quality gates directly into your CI/CD

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Effective Ways to Use Chaos Engineering for Reliable Production Setup

Discover how Chaos Engineering can transform your production reliability, boost business outcomes, and future-proof your tech stack. Learn actionable strategies, real-world examples, and the latest tools for success. Introduction: Why Chaos Engineering Matters More Than Ever Imagine launching a new feature to millions of users, only to watch your service crash under unexpected load. Or

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How to Use GitHub and Related Tools for CI/CD and DevOps in AI and ML Projects

Artificial Intelligence (AI) and Machine Learning (ML) projects are increasingly adopting Retrieval-Augmented Generation (RAG) to deliver contextually rich, accurate responses by combining pretrained language models with external knowledge retrieval. When building full-stack RAG applications-with ReactJS frontends and robust backend services-implementing effective CI/CD and DevOps practices is essential to ensure scalability, maintainability, and continuous improvement. This

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How to Successfully Scale DevOps in Large Enterprises

In today’s fast-paced digital landscape, large enterprises are under immense pressure to deliver software faster, with higher quality and greater reliability. DevOps has emerged as a transformative approach that bridges the gap between development and operations teams, enabling continuous delivery and innovation. But scaling DevOps across large organizations is a complex challenge that goes beyond

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Platform Engineering: Enabling Self-Service DevOps for Developer Productivity

Introduction Imagine a world where every developer can spin up fully compliant environments, deploy applications, and monitor performance without waiting on centralized ops teams.[4] Welcome to platform engineering—an approach that transforms DevOps into a self‑service model, empowering “builders” to iterate faster.[5] In this post, we’ll explore how platform engineering teams design, build, and operate IDPs

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