Books

Looking for microservices but without the complexity of Saga or eventual consistency? This book is for you!

A controller is a promise you keep making. Learn when to build one, how to design for failure, and what it takes to own it.

Building multi-agent systems is one thing. Making them reliable in production is another. This book takes you from core architectural concepts to working implementations, covering the patterns, techniques and operational practices needed to coordinate agents, handle failures and build systems that hold up under real-world demands.

Across every chapter in this book, we'll look at real software, break it down and put it back together again so we can use it. We'll encounter a stripped binary, a scrambled algorithm, an undocumented file format, a mobile app protecting its backend, a web client, a hardened sample that fights back, and a live protocol whose secrets only exist while it's running. We're not stopping at one clever trick either. We'll get the job done to a standard that's verifiable and someone else can trust.

Master practical system design with 62 parts covering distributed systems, scalability, databases, security, and production architecture. A comprehensive engineering handbook with real-world examples, diagrams, and decision frameworks.

Most books describe architecture. This one builds it. Explore Layered, Hexagonal, Modular Monolith, and Microservices architectures through the development of a single application, implemented in Java, step by step, with all their trade-offs.

Build a practical gRPC foundation through visual explanations of service contracts, remote calls, streaming, reliability, security, and operations.

Retries, timeouts, webhooks and month-end reconciliation: the parts tutorials skip. A practical book for backend engineers who build or own payment systems, from cards to real-time rails like Pix, UPI and QRIS.

Understand Redis data structures, caching, persistence, replication, and reliable operations through clear visual explanations.

Understand microservices through clear diagrams of service boundaries, data ownership, communication, resilience, and operations.

Understand how independent AI agents discover each other, exchange messages, and coordinate tasks. Clear diagrams introduce Agent2Agent architecture, interaction patterns, security, and reliable operation.

Building reliable distributed systems is harder than it looks. This book takes you from the fundamentals of message queues to the realities of distributed transactions, with working code, practical patterns and production lessons to guide you. Learn how to handle failures, maintain consistency and build systems that keep working when things go wrong.

Your AI application works on your machine. What happens when it reaches production? Learn to deploy, monitor, secure, and scale AI systems using Docker, CI/CD, Kubernetes, cloud infrastructure, and practical production engineering. Move beyond prototypes and build AI applications you can operate with confidence.

Design payment systems that stay explainable when responses disappear, webhooks arrive late, and refunds race with fulfillment.

Build reliable distributed systems with Spring Boot, RabbitMQ and modern Java. Follow OrderFlow as it grows from a simple service into a production-ready event-driven platform, exploring architecture, messaging, observability, containers and the practical trade-offs behind every design decision.