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Category: "Observability"

Observability

  1. Self-Healing Infrastructure: Building Autonomous Cloud Systems with AI

    Most writing about AI and infrastructure stops at the demo. This book starts on the day the model is confidently wrong at 3 a.m. and an auditor asks who authorised the action it took. Seven working labs — MCP servers with real identity and audit, closed-loop remediation behind a reversibility gate, and autonomy that can be revoked — for platform engineers in safety-critical and regulated industries.

  2. Production Debugging with Sentry
    Production Debugging with Sentry
    A Practical SRE Playbook for Tracing, Logging, Profiling and Alerting Across Full-Stack Production Systems
    GitforGits | Asian Publishing House

    A brilliant engineer with no evidence is reduced to guessing, while an ordinary engineer with good evidence looks like a genius. Everything in this book is an attempt to get you to think differently. You don't need a huge team to do this. You don't need to get anyone's approval for a budget, and you don't have to rewrite any services. What you need is a system that tells you the truth about itself, and you need it before the incident rather than during it.As a team, we'll build that system together on one small storefront, and we'll do it the way real teams build, which is to say not perfectly but in order.

  3. OTLP on the Wire
    OTLP on the Wire
    Luciana Reynaud Ferreira

    Read OTLP from raw bytes to spans: Protobuf wire format, gRPC frames, HTTP payloads, PCAPs, failure modes, and telemetry cost—explained for engineers who need to debug the protocol, not merely configure it.

  4. Production LLMOps
    Production LLMOps
    Designing, Deploying, and Operating Large Language Model Systems at Scale
    Steve Publications

    Building an LLM demo is easy. Running one reliably at scale is not. Production LLMOps shows you how to design, deploy and operate real-world LLM systems, covering RAG, agents, fine-tuning, evaluation, CI/CD, observability, security and more, with practical code you can adapt for production.

  5. AI-Native Systems Engineering: Building, Running, and Securing Autonomous Software on Linux
    AI-Native Systems Engineering: Building, Running, and Securing Autonomous Software on Linux
    A Production-Focused Handbook for Designing Useful, Controllable, Observable, Reliable, Maintainable, Secure, and Production-Ready Autonomous Systems
    Steve Publications

    Build AI systems that do more than demo well. This hands-on guide shows you how to engineer autonomous software on Linux that is secure, observable, reliable and ready for production. From agents and memory to threat modeling, OpenTelemetry and Kubernetes, you’ll build a real system while learning what it takes to run AI you can actually trust.

  6. OpenTelemetry in Production
    OpenTelemetry in Production
    Designing, Deploying, and Operating Observability at Scale
    Steve Publications

    Take OpenTelemetry from theory to production. This practical guide shows you how to design, deploy and operate observability at scale, with real configurations, proven architecture patterns and hands-on guidance for performance, security, troubleshooting and cost. Built for engineers who need telemetry that works when it matters.

  7. eBPF for Systems Engineers
    eBPF for Systems Engineers
    From First Principles to Production Deployments
    Steve Publications

    Discover how eBPF is changing Linux systems engineering. Starting with the fundamentals, this book walks you through building, debugging and deploying real eBPF programs for observability, networking, security and performance. Learn practical techniques you can use with confidence in production across modern Linux environments.