Observability in the AI-Native Era (Final) by Hilliary Lipsig (.PDF)
File Size: 17.31 MB
Observability in the AI-Native Era: Leveraging AIOps to build, observe, and operate resilient systems (Final Release) by Hilliary Lipsig, Andreas Grabner, Robert Rati
Requirements: .PDF reader, 17.31 MB | True PDF
Overview: Discover how AIOps is transforming the observability landscape for cloud-native and traditional systems. Learn how to build, monitor, and operate resilient services using AI-drive dynamic insights for smarter and more scalable operations. With OpenTelemetry, observability has become central to building and operating cloud-native distributed systems. At the same time, advances in AI are transforming how we extract value from the growing volume of observability data. This book shows you how to implement scalable observability, improve engineering efficiency with AI, and extend observability practices from production into development through modern internal developer platforms. You’ll begin with the fundamentals of observability, logs, metrics, and traces, then learn how AIOps enhances signal correlation, anomaly detection, and root-cause analysis. Through real-world examples and architectural guidance, the book demonstrates how to integrate AIOps into existing systems and build pipelines that proactively detect and resolve issues before users are affected. You’ll also explore best practices for expanding observability across the software development lifecycle, enabling AI-powered observability as a self-service capability for engineers. Using tools such as OpenTelemetry, Prometheus, Elasticsearch, and Grafana alongside machine learning models, you’ll learn how to automate diagnostics and remediation. By the end of this book, you’ll be able to design and implement AIOps-enabled observability solutions that make cloud-native systems more resilient and efficient. This book is for Software engineers and engineering leaders working on teams with operational responsibilities, such as platform engineering, site reliability engineering (SRE), DevOps, or application development, who want to integrate AIOps capabilities into their workflows will benefit from this book. If your team is responsible for building and running high-performing, resilient software systems, this book is for you.
Genre: Non-Fiction > Tech & Devices
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