Books

Data Mesh is a sociotechnical approach that enables development teams to autonomously carry out data analysis. In this primer, we explain Data Mesh from the engineering perspective.

Python is awesome, Kubernetes is awesome too. Use the combined power of both to create highly available Python application, declarative data processing task, and all sort of automation tasks.

In diesem Primer erklären wir Data Mesh aus der Engineering-Perspektive.

🚀 New book: Understanding Kyverno in a visual way! Want to master Kubernetes policies without getting lost in YAML, CEL expressions, and complex concepts? Discover Kyverno through clear, colorful sketchnotes! From policy basics to advanced policy management, security, testing, and troubleshooting, this book makes Kyverno easier to understand, one visual at a time. 📘 Updated for Kyverno 1.19 (August 2026)Learn visually. Understand better. Use Kyverno wisely!

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.

Stop relying on abstract marketing buzzwords. Master the real technical architecture, decision trees, and production-grade ABAP Cloud patterns needed to build upgrade-stable Clean Core extensions on SAP S/4HANA and SAP BTP.

Ready to take your infrastructure skills to the next level? Mastering Pulumi shows you how to build, deploy and manage real-world infrastructure across multiple clouds using familiar programming languages. From your first project to complex enterprise platforms, discover practical techniques and proven patterns to make infrastructure more reliable, secure and easier to maintain.

Understand DynamoDB through visual explanations of access patterns, keys, queries, consistency, data modeling, and reliable operations.

Build a practical understanding of AWS from account foundations to production architecture. Visual explanations connect networking, compute, data, security, automation, recovery, and cost with implementation and troubleshooting.

Learn Packer through visual explanations of repeatable machine images, templates, builders, provisioning, and image delivery.

Understand how Azure services fit together, then design, implement, and troubleshoot practical cloud systems. Visual explanations connect identity, governance, networking, applications, automation, observability, resilience, and day-2 operations.

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.

This book is not just a Python course with a networking flavour or a networking course with a few scripts attached. You already know how routing converges, why VLANs leak, and what a half-open TCP session looks like on the wire. What this book adds is the ability to transform that knowledge into code that runs across hundreds of devices, reports accurately on its findings and never makes changes that cannot be undone.

사내 LLM 게이트웨이를 설계하고 운영하는 실무서입니다. 키리스 인증과 6단계 RBAC, 토큰 쿼터·예산과 비용 통제, 엔터프라이즈 규모 MCP, 운영 런북까지 다룹니다. 영문판 The AI Gateway Playbook의 한국어판(PDF 75쪽)입니다.

A practitioner's playbook for building an in-house LLM gateway: keyless auth, six-tier RBAC, quotas and budgets, per-token cost control, MCP at enterprise scale, and the operations to run it all. About 32,000 words with diagrams, configs, and checklists.