DevOps

Value Stream Mapping for modern software teams. Learn how to measure lead time, expose bottlenecks, eliminate waste, and build a delivery system where value moves efficiently from idea to production.

Growth exposes fragility.The system that works at 10,000 users collapses at 1 million. The deployment process that feels “fine” becomes a liability at scale. The architecture that shipped your MVP becomes the bottleneck for your next market.The question facing modern technical leaders is no longer:“Can we build it?”It is:“Can we scale it, operate it, govern it, and evolve it — without breaking trust, burning out teams, or destroying margins?”This book provides a blueprint for building resilient architectures, high-velocity engineering organizations, and systems designed to survive real-world uncertainty.

The essential Spanish cheatsheet for IT professionals. Learn how technical terms are actually used in real work environments.

Terraform is easy—until teams, compliance, and day-2 reality arrive. This hands-on playbook shows how to scale IaC with GitOps, CI/CD, policy, and operational safety.

I'm writing this in the second half of 2025 soon after retiring with 35 years in software development. I used Salt extensively for the last 7 years, and before that I had been using Puppet for 7 years. I was often involved in tasks that eventually became known as DevOps, mostly focusing on configuration management at smaller companies. I became disillusioned with Salt after the company was sold to VMware which itself was later acquired by Broadcom. Now in late 2025, Salt isn't getting much attention or support from its current owner. Many of the core Salt developers have left the company, and the cadence of bug fixes and releases seem to be slowing down Also before retiring, I looked at the job market and found almost nobody is looking for people with Salt experience while at least some people were still looking for Ansible experience With that in mind, I decided to learn Ansible by porting the Salt states for my home lab over to Ansible. I kept notes along the way, and thought other developers might benefit if I published what I learned.

No es un libro sobre productos. Tampoco es un manual técnico.Es una historia sobre cómo la infraestructura llegó hasta acá.Sobre decisiones inevitables, modelos que dejaron de escalar y plataformas que surgieron cuando la complejidad ya no podía sostenerse. Sobre virtualización, cloud, negocio y personas. Sobre aciertos, errores y aprendizajes que marcaron una era.Este primer volumen no intenta explicar VMware Cloud Foundation. Intenta explicar por qué era inevitable que existiera.Porque antes de discutir arquitectura, conviene entender el camino.

Your Code Works Locally. Now, Make It Run for the World. 🌍 Mastered Python? Now face the ultimate challenge: Production. Volume 8: Cloud-Native Python, DevOps & LLMOps takes you beyond the IDE and into the data center. Learn to containerize with Docker, orchestrate with Kubernetes, and serve 70B+ parameter models with enterprise-grade LLMOps. Don’t just write software—architect it.

You’ve facilitated your 50th retrospective. The same issues surface. The same action items are created. Nothing changes. Features marked "done" sit in queues for months. You’re doing your job perfectly—and it’s making no difference.What if the problem isn’t your facilitation skills? What if the Scrum Master role itself is trapped in an outdated model?

Engineering Foundations: The Pillars of Modern Software CraftsmanshipTimeless Principles and Modern Practices for Building Systems That Last In an age where AI can write code in seconds, the true craft of software engineering is more critical than ever. This book is a mentor-in-a-book for a new generation of developers – those who want to go beyond automation and master the art of engineering. Starting with the foundational mindset of a system thinker and the core craft of writing clean, testable code, this book walks through the core and advanced pillars of modern software systems – from Lifecycle Management, Security, and Observability to Architecture and Design, Reliability and Resilience, Data and Knowledge Management, and Collaboration and Culture. It then explores how AI-augmented workflows, tools, and mentorship shape the future of engineering. You will learn to use intelligent tools responsibly, not as a crutch but as an amplifier for your own reasoning. Through practical frameworks and real-world patterns, you will discover how to build systems that are not just functional, but also scalable, secure, and deeply understandable. Tools will change, but the principles of thoughtful engineering endure. This is not a coding manual. It's a manifesto for thoughtful engineers who want to build things that endure.

You know how to code, but everyone else seems to "just get it" while you secretly Google and ChatGPT everything. The Software Realm DECODED is the patient mentor conversation you've been searching for, Peter asks the questions you're afraid to ask, and the Ultra Senior Developer explains what bootcamps skip and seniors assume you know. By the final chapter, the imposter syndrome disappears and systems finally make sense.

Understand the challenges of CI/CD on Kubernetes and explore Tekton’s architecture through theoretical explanations and a dedicated hands-on section with real-world examples.Beyond the basics, this guide provides a solution to the dashboard's security limitations, teaching you how to implement an authentication and access control layer using Keycloak, OAuth2, and Kubernetes Impersonation.

Stop treating PostgreSQL like slightly broken MySQL and start using it the way it was designed.

Build a real-world digital banking platform from scratch using .NET 10, Clean Architecture, DDD, Angular 21 (Nx Monorepo), Docker, PostgreSQL, and GitHub Actions CI/CD. This hands-on, full-stack guide shows you how fintech systems are built in modern software teams—covering microservices, secure APIs, authentication, event-driven architecture, automated testing, containerization, and more. No shortcuts, no toy examples. Just real engineering.

You cannot lead what you cannot see. In AI-heavy organizations, illegibility is now the default. This book gives you fracture names, diagnostic protocols, and field kits for seeing and governing systems where dashboards lie and decisions live in prompts no one saved.

Master AI Agents from Architecture to ProductionBuild autonomous agent systems that actually work in production. This comprehensive guide takes you from understanding ReAct patterns to orchestrating multi-agent systems at scale. What You'll Master:✅ Agent architectures: When to use agents vs RAG vs fine-tuning✅ Reasoning patterns: ReAct, Chain-of-Thought, Plan-and-Execute✅ Multi-agent orchestration with proper coordination protocols✅ Production deployment with error handling, monitoring, cost optimization✅ Tool calling, memory systems, and context management Who This Is For: Software engineers building LLM applications, backend engineers adding agentic capabilities, senior engineers preparing for AI agent interviews at top companies. What Makes This Different: 100+ production-focused scenarios with real architectural trade-offs. Real-world examples from companies shipping agent systems . Stop building chatbots. Start building agents that take action.