Books

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.

The Polymorph Data Language (PDL) is a versatile, compact and fast alternative to JSON, YAML, XML and CSV. PDL supports streams of fields, objects, compact objects, cyclic object graphs, tabular data, table trees, and custom instructions. PDL supports this with a syntax that is simple to tokenize and parse and which gives good performance during tokenization and parsing. PDL's custom instructions can be used to implement a whole Scheme-like programming language, should you want to.

A governance framework for taming complexity in distributed systems. From solo platforms to AI agents.

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 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.