Books

This book provides an introduction to the high-level concepts behind query engines and walks through all aspects of building a fully working SQL query engine in Kotlin.

The first book to combine Eventmodeling & Eventsourcing to plan software systems of any size and complexity. NEW CHAPTER "Dynamic Consistency Boundary" COMPANION ONLINE COURSE FOR FASTER LEARNING

Build high-volume systems. Thrive through sociotechnical challenges. Survive gruesome production incidents.

Dies ist die top-aktuelle Version  dieses Fachbuchs vom 18.05.2026 auf dem Stand Entity Framework Core 10.0.8.

When your database outgrows simple optimizations, it's time to think bigger. Lift the Elephant goes beyond query tuning to reveal actionable strategies for scaling PostgreSQL, from partitioning to high-availability architectures. Built on lessons from scaling Hubstaff, this is your playbook for navigating the challenges of database growth.

Build bulletproof Spring Boot microservices—from monolith migration to domain-driven design and event-driven patterns—while mastering the production essentials of resilience, observability, and zero‑downtime delivery. Turn complex domains into clean, scalable services with bounded contexts, aggregates, repositories, and domain events, then ship faster with rate‑limited APIs, backoff‑retries, and Kubernetes rollouts. If leading Java teams to reliable, cloud‑ready microservices is the goal, this is the hands‑on guide that gets systems into production with confidence.

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.

A pattern language for event sourced applications and reliable distributed systems. Examples are written in the Python programming language. Now includes event-oriented introductions to the pattern language scheme of Christopher Alexander, the process philosophy of Alfred North Whitehead, and the person-centred psychology of Rogers and Rosenberg.

Ansible is a powerful infrastructure automation tool. Kubernetes is a powerful application deployment platform. Learn how to use these tools to automate massively-scalable, highly-available infrastructure.

System Design Workbook – Edição 2026 é uma obra que traduz, organiza e conecta os principais fundamentos da engenharia de sistemas distribuídos sob uma perspectiva prática, moderna e orientada à realidade de produção.

This practical ebook is a guide to programming with the Plutus language for highly secure smart contracts on the Cardano blockchain, home of the ada cryptocurrency. Plutus is based on the Haskell functional programming language and comes complete with a full testing environment accessed via any browser.

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

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.

Build a cloud-native distributed system in Go with authentication, databases, Kafka, gRPC, circuit breakers, and distributed tracing. Each chapter teaches a pattern and extracts it into a reusable platform SDK. By the final chapter, you'll have six deployable services, a complete platform SDK, and the patterns to build the next one faster.

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.