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Category: "Microservices"

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  1. Serverless Python in Production
    Serverless Python in Production
    Building Scalable Applications with AWS Lambda, Cloudflare Workers, and the Serverless Framework
    Steve Publications

    Deploy Python applications without managing servers. This practical guide takes you from your first serverless function to production-ready architectures on AWS Lambda and Cloudflare Workers using the Serverless Framework. Through real-world examples, proven deployment patterns, and hands-on guidance, you will learn how to build scalable, secure, and cost-effective applications with confidence.

  2. Circuit Breaker and Retries with Exponential Backoff
    Circuit Breaker and Retries with Exponential Backoff
    Resilient Microservice Calls, Failure Containment, Kubernetes Operations, and FinOps Impact
    Luca Sepe

    Learn how to stop retry storms, contain dependency failures, and make resilient microservice calls observable, bounded, and production-ready.

  3. FROM FLOW TO SERVICES
    FROM FLOW TO SERVICES
    Grigorios Agathangelidis

    Build microservices the way architects do—not by splitting code, but by discovering true boundaries. Using the NEXUS-1 digital twin, this book explores DDD, APIs, messaging, eventual consistency, sagas, resilience, and migration, showing when distributed systems are worth their cost.

  4. Service Mesh Troubleshooting Guide on GCP
    Service Mesh Troubleshooting Guide on GCP
    A Practical Companion for Cloud Engineers
    Sudhanshu Jaiswal

    Service meshes like Anthos Service Mesh and Istio are the backbone of modern cloud-native applications on GCP, but when things go wrong, troubleshooting can feel like navigating a maze blindfolded. Connection refusals, mTLS failures, routing misconfigurations, and latency spikes can cripple your system—and your sanity.

  5. Kiali & Service Mesh Observability
    Kiali & Service Mesh Observability
    A Student's Guide to Understanding Microservices Traffic
    Sudhanshu Jaiswal

    "Ever felt lost in the chaos of microservices? Imagine managing an airport without radar—planes colliding, routes congested, and no way to track what’s happening. That’s what microservices feel like without observability.Enter Kiali & Service Mesh Observability—your radar screen for the invisible world of distributed systems. With Istio as your air traffic control and Kiali as your dashboard, you’ll: ✅ See real-time traffic flows between services ✅ Debug slow requests, failures, and bottlenecks in seconds ✅ Control deployments with canary releases and A/B testing ✅ Secure your system with automatic encryption and policiesNo more guessing. No more grepping through logs. Just clarity, control, and confidence in your microservices.Ready to master the chaos? Your journey starts here."

  6. Building REST APIs with Spring Boot 4.0
    Building REST APIs with Spring Boot 4.0
    Practical and code-first learning for Java developers to build, test and deploy applications using Java 21
    GitforGits | Asian Publishing House

    What you've got here is a hands-on walkthrough of Spring Boot 4.0, where we'll build a single application from start to finish, using the command line and then packaging it as a JAR at the end. Each chapter adds one real capability, like a REST endpoint, a database, an error handler, a security layer or a test suite. Each chapter gets straight into the code, and you can run, modify and break it to see what happens.There's even a dedicated troubleshooting chapter at the end that deals with the exact errors beginners actually encounter in practice, not just hypothetical ones.

  7. Stateful & Stateless Microservices in Python
    Stateful & Stateless Microservices in Python
    Beginners Guide
    Sudhanshu Jaiswal

    "What if building microservices was as simple as running a food court? Each stall does one thing perfectly—pizza, burgers, smoothies—no chaos, just collaboration. Some remember your order (stateful), others don’t (stateless). This book turns distributed systems from a nightmare into a well-oiled machine. Ready to serve up scalable, cloud-ready microservices in Python? Dive in!"

  8. Microservices with Spring Boot 4

    Build a complete, production-grade microservices platform with Spring Boot 4 and Java 21, one chapter at a time.

  9. Go Apps on Kubernetes
    Go Apps on Kubernetes
    Production Best Practices
    Luca Sepe

    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.

  10. THE GLOBAL DATA WAR
    THE GLOBAL DATA WAR
    Artificial Intelligence, Big Tech, and the Race for Data, Chips, and Cloud
    Nilesh Shantaram Devlekar

    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.

  11. The Adaptable Enterprise
    The Adaptable Enterprise
    Evolutionary Architecture and the Strategic Management of Technical Debt
    Emeka Mbah

    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.

  12. The Scaling Playbook

    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.

  13. Inter-Process Communication in Real-Time 3D Applications : First Edition
    Inter-Process Communication in Real-Time 3D Applications : First Edition
    A Practical C++ Guide to Live-Linking Pixar'S OpenUSD With Modern gRPC.
    Hamed Sabri

    A hands-on introduction to IPC in real-time 3D Applications using modern C++, gRPC, and OpenUSD, featuring a practical LiveLink pipeline between Autodesk Maya and a custom USD viewer.

  14. Modern Banking Microservices with Clean Architecture, DDD, TDD, .NET 10, and Angular 21 (nx Monorepo)
    Modern Banking Microservices with Clean Architecture, DDD, TDD, .NET 10, and Angular 21 (nx Monorepo)
    A Complete Engineering Guide to Building Production-Grade Banking Systems Using Microservices, Docker, CI/CD, Testing, and Angular Nx Monorepos
    Gustavo Felix

    Build a real-world digital banking platform from scratch using .NET 10, Clean Architecture, DDD, Angular 21 (Nx Monorepo), Docker, PostgreSQL, and GitHub Actions CI/CD. This hands-on, full-stack guide shows you how fintech systems are built in modern software teams—covering microservices, secure APIs, authentication, event-driven architecture, automated testing, containerization, and more. No shortcuts, no toy examples. Just real engineering.

  15. System Design Mastery - Generative AI
    System Design Mastery - Generative AI
    Case Studies, Trade-offs & Scenarios
    Sameer Paradkar

    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.