Learn how to effectively implement, manage, and optimize Prometheus for monitoring your systems
Key FeaturesWith an increased focus on observability and reliability, establishing a scalable and reliable monitoring environment is more important than ever. Over the last decade, Prometheus has emerged as the leading open-source, time-series based monitoring software catering to this demand. This book is your guide to scaling, operating, and extending Prometheus from small on-premises workloads to multi-cloud globally distributed workloads and everything in between.
Starting with an introduction to Prometheus and its role in observability, the book provides a walkthrough of its deployment. You'll explore Prometheus's query language and TSDB data model, followed by dynamic service discovery for monitoring targets and refining alerting through custom templates and formatting. The book then demonstrates horizontal scaling of Prometheus via sharding and federation, while equipping you with debugging techniques and strategies to fine-tune data ingestion. Advancing through the chapters, you'll manage Prometheus at scale through CI validations and templating with Jsonnet, and integrate Prometheus with other projects such as OpenTelemetry, Thanos, VictoriaMetrics, and Mimir.
By the end of this book, you'll have practical knowledge of Prometheus and its ecosystem, which will help you discern when, why, and how to scale it to meet your ever-growing needs.
What you will learnThe book is for site reliability engineers (SREs), developers, and platform engineers involved in the monitoring and observability of their team or company's systems. A background in Prometheus is assumed, so the book dedicates minimal time to the basics of getting Prometheus up and running. Whether you aim to expand monitoring capabilities, streamline configuration management, or enhance integration with existing tools, this book will help you maximize the potential of your Prometheus monitoring stack.
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