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Observability in the AI-Native Era. Leveraging AIOps to build, observe, and operate resilient systems Hilliary Lipsig, Andreas Grabner, Robert Rati, Max Körbächer

Język publikacji: angielski
Observability in the AI-Native Era. Leveraging AIOps to build, observe, and operate resilient systems Hilliary Lipsig, Andreas Grabner, Robert Rati, Max Körbächer - okladka książki

Observability in the AI-Native Era. Leveraging AIOps to build, observe, and operate resilient systems Hilliary Lipsig, Andreas Grabner, Robert Rati, Max Körbächer - okladka książki

Autorzy:
Hilliary Lipsig, Andreas Grabner, Robert Rati, Max Körbächer
Serie wydawnicze:
Hands-on
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
420
Dostępne formaty:
     PDF
     ePub
Ebook
134,10 zł 149,00 zł (-10%)
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Do przechowalni

Observability is mandatory for building and operating cloud-native distributed systems. Tools like OpenTelemetry have standardized how observability data is sourced, and AI now transforms how we extract value from the vast amounts of observability data generated by modern systems. This book guides you in implementing scalable observability, improving engineering efficiency with AI, and integrating observability throughout the Software Development Lifecycle (SDLC) via modern self-service internal developer platforms.
You'll start with observability basics and learn how AIOps enhances signal correlation, anomaly detection, and root-cause analysis. Using real-world examples, the book demonstrates how to implement AIOps, build proactive detection pipelines, and automate diagnostics and remediation. You'll explore best practices for expanding observability using OpenTelemetry, Prometheus, Grafana, Dynatrace, Datadog, and New Relic alongside machine learning models, ensuring your systems are accurate, efficient, and secure.
You'll also learn how to benchmark, measure, and secure your AIOps implementation, and gain a practical understanding of software compliance and how it applies to your systems. By the end of this book, you'll be ready to design and deliver AIOps-enabled observability solutions that make cloud-native systems more resilient, efficient, and secure.

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O autorach książki

Hilliary Lipsig is an autodidact and start-up veteran who has frequently learned and applied technologies to get a job done. She's had her hand in every part of the application delivery process, honing her skills originally as a quality engineer. Hilliary is an IT polyglot, able to talk the lingo of both the Operations and Development teams. She's currently a Principal Site Reliability Engineer at Red Hat Inc., working on Kubernetes-based platforms. She's passionate about GitOps, continuous integration, scalable processes, consistency in tooling, and good developer documentation. Her open source activities include contributions to the CNCF Glossary and she's a member of the Code of Conduct Committee for Kubernetes.
Andreas Grabner is a technical advocate for making distributed systems observable and making automated data-driven decisions across the software development lifecycle. In his capacity as a CNCF ambassador and a DevRel at Dynatrace, he connects and educates global software engineering communities on building and continuously validating digital services for resiliency, high availability, and security.
Since his early days, he has been passionate about software quality and performance engineering as it results in building excellent digital products. Andi uses his advocacy platforms to share best practices on topics such as observability, progressive delivery, DevOps, site reliability engineering, platform engineering, and digital business operations!
Robert Rati is a platform engineer veteran of small, medium, and large corporations in regulated industries ranging from wireless communications to the financial sector. He is passionate about reducing noise and enabling teams to focus on creating business value. He emphasises maintainability, consistency, user friendliness, and productivity when planning projects.
Robert is currently a Senior Software Engineer with Second Front.

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