{"product_id":"devops-as-a-control-system-designing-secure-observable-resilient-and-autonomous-production-systems-with-devsecops-sre-aiops-and-ai-agents-9798171858841","title":"DevOps as a Control System: Designing Secure, Observable, Resilient, and Autonomous Production Systems with DevSecOps, SRE, AIOps, and AI Agents","description":"\u003cp\u003e • Author(s): Nolan Veyne\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Cybernetics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAutomation is everywhere. Control is not.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eModern teams can build, deploy, scale, monitor, and remediate software faster than ever. But automation alone does not guarantee a healthy production system. An autoscaler can worsen a database bottleneck. A remediation workflow can execute the wrong recovery perfectly. \u003cb\u003eAI agents for DevOps\u003c\/b\u003e can diagnose an incident correctly-and still be too dangerous to trust with unrestricted production access.\u003c\/p\u003e\u003cp\u003eIf you work with CI\/CD, \u003cb\u003eKubernetes reliability\u003c\/b\u003e, observability, SLOs, \u003cb\u003eSRE automation\u003c\/b\u003e, platform engineering, or \u003cb\u003eDevSecOps automation\u003c\/b\u003e, you face a growing challenge: these systems increasingly make decisions and change production, yet they are often engineered as separate mechanisms with overlapping objectives and authority.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDevOps as a Control System\u003c\/b\u003e provides a practical \u003cb\u003eproduction systems engineering\u003c\/b\u003e framework for bringing them together. You will learn to design production as interconnected feedback loops where telemetry reveals behavior, SLOs define acceptable outcomes, policies constrain decisions, automation acts, and verification determines what happens next.\u003c\/p\u003e\u003cp\u003eInside, you will learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eModel DevOps as a closed-loop control system\u003c\/b\u003e using feedback, state, stability, delay, gain, hysteresis, damping, and convergence.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eEngineer actionable observability\u003c\/b\u003e with metrics, logs, traces, events, RED, USE, Golden Signals, and business telemetry.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eUse SLIs, SLOs, error budgets, and burn rates\u003c\/b\u003e to control reliability and deployment risk.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eBuild feedback-controlled CI\/CD and progressive delivery\u003c\/b\u003e with quality gates, canary releases, production verification, and automated rollback.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eApply DevSecOps automation and policy as code\u003c\/b\u003e to software supply chains, runtime security, governance, and least privilege.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eEngineer platform engineering and Kubernetes reliability\u003c\/b\u003e through reconciliation, GitOps, autoscaling, scheduling, and capacity control.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eDesign automated incident remediation and self-healing systems\u003c\/b\u003e with bounded actions, retries, circuit breakers, verification, rollback, and escalation.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eApply AIOps engineering\u003c\/b\u003e to anomaly detection, event correlation, root-cause analysis, forecasting, and predictive reliability.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eEngineer AI agents for DevOps and SRE\u003c\/b\u003e with production context, scoped tools, machine identity, runtime authorization, evaluation, and human oversight.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eDesign autonomous production systems\u003c\/b\u003e that coordinate multiple controllers while controlling uncertainty, blast radius, authority, and human intervention.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003eA single evolving \u003cb\u003ecloud-native commerce platform\u003c\/b\u003e connects these concepts, showing how a conventional CI\/CD and Kubernetes environment can mature into an observable, secure, resilient, self-healing, intelligent, and governed production system.\u003c\/p\u003e\u003cp\u003eWhether you are a \u003cb\u003eDevOps engineer, SRE, DevSecOps engineer, platform engineer, cloud engineer, software engineer, AI engineer, or architect\u003c\/b\u003e, this book will help you move beyond: \u003c\/p\u003e\u003cp\u003e\u003cb\u003e\"How do I automate this?\"\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eto the more important question: \u003c\/p\u003e\u003cp\u003e\u003cb\u003e\"How do I build a production system that knows when to act, whether its action worked, and when control must return to a human?\"\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMove beyond automated pipelines. Get \u003ci\u003eDevOps as a Control System\u003c\/i\u003e and start engineering production systems built for secure, resilient, and governed autonomy.\u003c\/b\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":67784144519319,"sku":"9798171858841","price":1636.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798171858841.webp?v=1790687049","url":"https:\/\/atlanticbooks.com\/products\/devops-as-a-control-system-designing-secure-observable-resilient-and-autonomous-production-systems-with-devsecops-sre-aiops-and-ai-agents-9798171858841","provider":"Atlantic Books","version":"1.0","type":"link"}