Books

Learn Argo Rollouts through hands-on Kubernetes labs. Build canary and blue-green deployments, control traffic with Istio, validate releases with Prometheus, run Experiments, automate promotion and rollback, and manage progressive delivery with Argo CD and GitOps.

Spanning roughly 250 pages with step-by-step screenshots-based instructions, this book will guide you on managing a daloRADIUS deployed server to run FreeRADIUS AAA system. with daloRADIUS you can easily and quickly manage your FreeRADIUS deployment, thanks to flexible user interface and navigation flow.

GitOps has caused quite some fuss on Twitter and KubeCon, and still continues to do so. This book aggregates the essence of GitOps to help clear up the confusion. This book answers the following questions:What is GitOps?Why should I use GitOps?How does GitOps work?How to get started with GitOps on Kubernetes?What's the Future of GitOps?

"Your systems are talking. Are you listening?"In a world where downtime costs millions and silent failures hide in plain sight, observability isn’t just a buzzword—it’s your superpower. But with hundreds of tools, frameworks, and metrics to choose from, how do you cut through the noise?Observability Tools: Design & Comparison Guide is your no-BS playbook to: ✅ Design observability pipelines tailored to AI/ML, microservices, and event-driven architectures. ✅ Compare the top 10 tools—from Datadog to Grafana Stack—and pick the perfect fit for your budget and scale. ✅ Avoid costly mistakes with red flags, alert fatigue fixes, and cost-saving strategies.

El libro cubre todos los temas del programa de estudios más reciente del examen CISSP, organizado en un formato que facilita profundizar en dominios y conceptos específicos del examen de un vistazo, lo que lo convierte en un recurso esencial para cualquiera que aspire a prepararse para el examen sin desperdiciar tiempo ni dinero.

Discover how Java developers can contribute to a sustainable future. Written by Java Champions and community experts, this collaborative guide explores practical approaches to sustainable software engineering, from resource-efficient design to mindful architecture, empowering you to reduce your environmental impact while building better systems.

Master Kubernetes v1.36+ on your laptop without cloud bills. Build production-grade multi-node clusters using Kind (Kubernetes in Docker). From architecture basics to Ingress, Gateway API, and RBAC.

¿Kubernetes te parece difícil? Esta es la precuela técnica que necesitas. Deja de copiar Dockerfiles a ciegas y domina los cimientos: imágenes, redes, volúmenes y Docker Compose. La guía definitiva en español para entender los contenedores y construir la base sólida de todo Ingeniero DevOps.

In diesem Primer erklären wir Data Mesh aus der Engineering-Perspektive.

Compilation of best practices for evaluating weak spots in your product and company and fostering a robust security culture within your organization.

Data Mesh is a sociotechnical approach that enables development teams to autonomously carry out data analysis. In this primer, we explain Data Mesh from the engineering perspective.

Python is awesome, Kubernetes is awesome too. Use the combined power of both to create highly available Python application, declarative data processing task, and all sort of automation tasks.

Most AIOps material is written by people selling AIOps. This one separates what works in production today from what is still a roadmap promise — and says which is which, chapter by chapter.

Rapid-development frameworks across Ruby on Rails, Node.js, PHP, Python, and .NET revolutionized how quickly we can ship software. But what happens when your business domain grows complex? Relying on Active Record and heavy ORM patterns tightly couples your database to your business logic. As your product matures, this coupling creates brittle, difficult-to-maintain codebases that resist change and slow down your team. The solution is the Domain Model Pattern (the foundation of Domain-Driven Design). It isolates business rules from infrastructure, creating a pure, scalable architecture. Historically, however, this pattern required a massive amount of effort and boilerplate, making it too slow for fast-paced development. That changes today. We are at an AI inflection point. Modern AI coding assistants excel at generating boilerplate and wiring infrastructure, effectively eliminating the traditional drawbacks of DDD. AI finally bridges the gap between the rapid speed of framework scaffolding and the architectural purity of a Domain Model. But to harness AI reliably, you cannot simply let it generate code unguided. You need a structured methodology to guide the machine. In this book, you will learn:How to build reliable, maintainable software using a strict, AI-assisted pipeline: Use Cases → Gherkin → Event Storming → Strategic & Tactical DDD.How to create implementation-agnostic class diagrams that serve as universal blueprints, allowing you to generate code in OOP languages (Java, C#, PHP, Python) or Functional languages (Elixir, Clojure, F#).How to future-proof your systems with a timeless methodology that prioritizes the longevity of business logic over the ephemeral nature of web frameworks.How to scale your architecture gracefully from a Majestic Monolith to Microservices without a complete rewrite. The methodology is language agnostics but in this edition all codes samples are in TypeScript. Whether you want to accelerate your development velocity, improve your system's resilience, or simply reclaim your craft by building beautiful, majestic systems, this book provides the blueprint.Discover how to combine the timeless principles of DDD with the power of AI.

Take your IPv6 skills beyond the basics. Advanced IPv6 Engineering covers real-world network design, routing, security, automation and operations at scale, with practical examples for Linux, enterprise networks, cloud, containers and Kubernetes. Built for engineers who need to deploy, secure and manage IPv6 with confidence.