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Category: "Cloud Computing"

Cloud Computing

  1. The Paved Road
    The Paved Road
    Scaling Engineering Leadership through Platform Engineering and IDPs
    Emeka Mbah

    Your developers are not slow. Your system is full of friction.What if:A new engineer could ship to production on day one?Every service was secure, observable, and compliant by default?Deployments rolled back automatically before customers noticed?Cloud costs were visible at the moment code was written?This is not a tooling problem. It is a platform design problem.The Paved Road shows you how to move from DevOps culture to Platform execution — from heroics to systems, from tickets to self-service, from firefighting to flow.Build the road once. Let everyone move faster forever.

  2. 优化的艺术——深入.NET性能之巅
    优化的艺术——深入.NET性能之巅
    The Art of Optimization: A Deep Dive into the Peak of .NET Performance
    lhx077

    Dive Deep into the Peak of .NET Performance. To truly optimize, you must understand the hardware and the runtime. From benchmarking basics to low-level mastery—reshape the way you write C#.

  3. The Architectural Blueprints for Building Business Optimized Data Platforms

    Throughout the book, we use a car-search platform as a unifying example. From ingestingdata about car listings to enriching, it with analytics and providing real-time search results, thisplatform showcases the challenges and opportunities of modern data platforms. By followingits journey, you will gain actionable insights that can be applied to a wide range of domains.Building the software platforms is not just about technology; it’s about solving real-worldproblems with creativity within the given guardrails both financial or engineering. This bookwill be guiding you through every phase of design, implementation, and evolution. Let’s buildthe future of data platforms together.

  4. C# & AI Masterclass: Cloud-Native AI & Microservices. Containerizing Agents and Scaling Inference.

    Stop scripting and start engineering the next generation of cloud-native AI. Master C# and Kubernetes to build resilient, distributed agent swarms at scale. Bridge the gap between experimental logic and high-performance, production-grade systems. Architect the future of intelligence—from event-driven scaling to secure service meshes.

  5. MB-820 Exam Cram: Reports, Report Extensions and Queries

    Master data presentation and analysis in Business Central! This comprehensive guide covers everything from report objects and layouts (RDLC, Word, Excel) to report extensions for customization without modifying base code. Learn about queries for optimized data retrieval, processing-only reports, request pages, and the report substitution pattern. Dive deep into real-world examples from the Base Application with practical exercises. Whether you're preparing for MB-820 certification or building professional reporting solutions, this is your definitive reference for Business Central reporting.

  6. MB-820 Exam Cram: Pages and Page Extensions in Business Central

    Master the art of user interface development in Business Central! This comprehensive guide unlocks the secrets of Page objects and Page Extensions—from understanding page types and layouts to implementing actions and extending existing pages. Learn from real Microsoft code examples, understand role customization, and discover the Page Scripting tool for acceptance testing. Whether you're preparing for MB-820 certification or building production-ready extensions, this is your roadmap to becoming a Business Central UI expert.

  7. MB-820 Exam Cram: Create new companies in Business Central

    Master the skills of company creation and management in Business Central! This comprehensive guide covers everything from creating companies with the assisted setup wizard to advanced developer topics like ChangeCompany and intercompany transactions. Learn best practices for configuration packages, understand when NOT to copy companies, and gain hands-on experience with exercises designed for MB-820 exam success.

  8. De la virtualización a la Plataforma

    No es un libro sobre productos. Tampoco es un manual técnico.Es una historia sobre cómo la infraestructura llegó hasta acá.Sobre decisiones inevitables, modelos que dejaron de escalar y plataformas que surgieron cuando la complejidad ya no podía sostenerse. Sobre virtualización, cloud, negocio y personas. Sobre aciertos, errores y aprendizajes que marcaron una era.Este primer volumen no intenta explicar VMware Cloud Foundation. Intenta explicar por qué era inevitable que existiera.Porque antes de discutir arquitectura, conviene entender el camino.

  9. OpenTelemetry Cookbook
    OpenTelemetry Cookbook
    Proven approaches for real-time monitoring and observability on cloud, AI, and modern infrastructures
    GitforGits | Asian Publishing House

    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.

  10. The Microsoft DSC Handbook

    A practical guide to Microsoft Desired State Configuration (DSC), the cross-platform configuration management tool for Windows, Linux, and macOS. Learn how to author configuration documents, work with built-in resources, adapters, and build custom resources.

  11. You Don't Know JSON
    You Don't Know JSON
    Beyond Six Data Types: The Complete Ecosystem
    Dayna Blackwell

    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.

  12. OpenShift AI Platform Guide
    OpenShift AI Platform Guide
    Platform Engineering, GPUs, and Air-Gapped Clusters with OpenShift AI
    Luca Berton

    Build a real AI platform on OpenShift, not just “another Kubernetes cluster.” This guide walks you through air-gapped installs, Quay mirroring, GPUs, InfiniBand, GitOps, and benchmarking—so platform and SRE teams can deliver a secure, observable, high-performance OpenShift AI environment that app teams actually want to use.

  13. 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.

  14. System Design Mastery - Foundation
    System Design Mastery - Foundation
    Case Studies, Trade-offs & Scenarios
    Sameer Paradkar

    Master System Design from Theory to ProductionYou don't learn system design from textbooks — you learn from solving real problems. How does Netflix handle video streaming at scale? How does Uber route millions of rides? How does Slack deliver messages instantly? System Design Mastery – Foundation Track teaches through real-world scenarios and case studies. 124 scenario-driven case studies covering:✅ Database design, sharding, replication✅ Caching with Redis configuration✅ Microservices with Spring Boot & Kubernetes✅ Message queues with Kafka✅ Load balancing with NGINX✅ Monitoring with Prometheus Every scenario includes: production problem, architectural approaches, design patterns, decision frameworks, tool configurations, and interview-ready explanations. Learn through real-world case studies — from Google, Amazon, Meta, Netflix, and top tech companies. Your journey from developer to designers begins here — with scenarios you'll face and tools you can deploy.

  15. Memory Dump Analysis Anthology, Volume 17

    This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from the Software Diagnostics and Observability Institute and the Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, and software trace and log analysis written from 15 April 2024 to 14 November 2025.