Distributed Systems

Prepare for Kubernetes platform engineering interviews like a Staff Engineer. Learn how controllers, informers, syncers, finalizers, API scalability and multi-tenancy behave in real systems, then put it all into practice with a hands-on workspace-syncer capstone project. A practical guide to reasoning, designing, debugging, and explaining Kubernetes control-plane systems.

The Complete Beginner to Professional Website Creation and Growth Guide takes you step by step through the entire website-building journey—from choosing a domain and hosting to designing, launching, optimizing, securing, and growing a professional website. Whether you're starting a blog, business website, portfolio, or online store, this guide gives you the knowledge and confidence to succeed.

Mastering Elasticsearch is a hands-on guide to building fast, scalable search and analytics systems. It covers core concepts, index design, Query DSL, relevance tuning, vector search, and production operations with practical examples in Python, Java, JavaScript, and REST.

You shipped the demo. The model worked. Now production is coming, and the demo is not a system. An agentic system is a distributed-systems engineering problem — the reliability lives in the shell, not the model.

Todos hemos oído hablar de la Web3, de las criptomonedas, de las cadenas de bloques (blockchains), de los NFT y de las DAO. Casi nadie sabe decir, con claridad, qué **es** en realidad cada una de esas cosas, ni si se trata del futuro de internet o de una manera elaborada de perder dinero. **El libro de la Web3** por fin le da una respuesta directa.

PySpark from page one. Ten chapters that take a Python user who knows pandas and turn them into someone who can write, read, and debug production PySpark, without a three-chapter detour through distributed-computing theory.

Go services often fail in production for boring reasons: weak probe semantics, missing timeout budgets, unsafe retries, noisy telemetry, and rollout settings that look fine until traffic spikes. Go Apps on Kubernetes is a practical pocketbook for engineers who ship and run Go microservices on K8s. It gives you concise, production-focused guidance you can apply immediately: health/readiness contracts, graceful shutdown and draining, retry/backoff patterns, observability defaults (metrics, logs, traces), security hardening baselines, and deployment/autoscaling templates. No theory dump, no platform-admin detours. Just reusable patterns and incident-oriented checklists to help your services start cleanly, degrade predictably, and recover fast.

Artificial Intelligence has become the new global power race. Nations are competing for data, infrastructure, and algorithmic dominance that will define the future world order.

The “perfect architecture” is a myth. The adaptable enterprise wins. Learn how to design evolutionary systems, quantify technical debt, and align engineering with business ROI.

Design resilient, production-ready microservices architectures with confidence. Learn how API gateways, service meshes, and observability tools work together to build scalable and secure distributed systems.

Architecture. Teams. Business. Aligned. Finally, a guide that connects the dots. From Team Topologies to Flexible Project Management, learn how to build systems that align with your business goals instead of fighting against them. Stop estimating and start engineering your path to confidence.

By the time you finish this book, you should be able to make your systems observable across microservices, AI workloads, security monitoring, and hybrid cloud infrastructure. This book will help you learn how to effectively instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to analyze your software’s performance and behavior.

The Scaling Playbook From WordPress to 1 million orders. One company's 5-year journey through every scaling decision, mistake, and hard-won principle. No code. No fluff. Just architecture thinking.

JSON succeeded not because it was better--XML had schemas, namespaces, and 10 years of tooling, but because it understood modularity in ways XML never could. This book deconstructs how a deliberately incomplete format defeated a comprehensive standard, then shows you the production patterns (JSON Schema, JSONB, MessagePack, versioning strategies) that make JSON systems scale from prototype to billions of requests.

Master Generative AI from Theory to ProductionYou don't learn Gen AI from tutorials — you learn from solving real problems. How does ChatGPT handle context and avoid hallucinations? How does Perplexity build RAG at scale? How does GitHub Copilot generate accurate code? System Design Mastery - Generative AI teaches through real-world scenarios and production patterns. 116 scenario-driven case studies covering:✅ RAG with vector databases and hybrid search✅ Prompt engineering with Chain-of-Thought reasoning✅ Document processing with multi-format parsing✅ Multi-modal AI with vision and audio✅ Production deployment with monitoring and cost optimization Every scenario includes: production problem, architectural approaches, Gen AI patterns, decision frameworks, tool implementations, and interview-ready explanations. Learn through case studies from OpenAI, Anthropic, Google, Meta, and top AI-companies. Your journey from developer to Gen AI architect begins here — with scenarios you'll face and tools you can deploy.