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Key benefits

Achieve high availability with Prometheus by using Thanos

Integrate Prometheus into your broader observability stack with OpenTelemetry

Tweak, tune, and debug Prometheus to reliably scale without limits

Purchase of the print or Kindle book includes a free PDF eBook

Description

With 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.

Who is this book for?

The 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.

What you will learn

Deploy Prometheus and Node Exporter to public clouds and Kubernetes

Gain in-depth knowledge of how Prometheus's underlying code works

Build your own custom service-discovery providers for Prometheus

Debug Prometheus performance issues to identify cardinality issues in your environment

Use VictoriaMetrics and/or Grafana Mimir for remote storage of Prometheus data

Define and implement SLO-based alerting

What do you get with Print?

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Download this book in EPUB and PDF formats

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AI Assistant (beta) to help accelerate your learning

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Feefo verified reviews

Amazon verified reviews

Will B. Jun 14, 2024

This book is excellent. It is the most comprehensive, practical guide on using Prometheus available. What differentiates this book from other similar materials is the emphasis on real world usage. Exploring supplementary tools like Pint and Sloth bring your Prometheus use to the next level. I've referenced this book multiple times already while working and have linked chapters to my peers. It is well written and worth a buy!

Amazon Verified review

Roth Romano Jun 09, 2024

Mastering Prometheus" by William Hegedus is an invaluable resource for anyone looking to elevate their observability and monitoring capabilities. The book offers a perfect blend of fundamental concepts and advanced techniques, making it essential for both beginners and seasoned professionals. Its practical examples and focus on scalability are particularly impressive, providing actionable insights for real-world applications. Highly recommended for enhancing your DevOps toolkit!

Mayank Jadhav Jun 16, 2024

This book is a perfect guide for those who want to take their Prometheus monitoring skills to the next level. It dives deep into operating, scaling, and extending Prometheus for various workloads, from small on-premise deployments to globally distributed cloud environments.To understand Prometheus in a better way, William has divided this book into three parts:1. Fundamentals of Prometheus - This part lays the groundwork by explaining observability and how Prometheus fits in. It then covers deployment, data model, query language (PromQL), service discovery, and alerting.2. Scaling Prometheus - Moving beyond basic setups, this part dives into horizontal scaling with sharding and federation. You'll also learn techniques for debugging performance issues and optimizing data ingestion.3. Extending Prometheus - This section explores integrating Prometheus with other tools and technologies. It covers remote storage options like VictoriaMetrics and Mimir, achieving high availability with Thanos, and utilizing OpenTelemetry for broader observability.If you're already comfortable with Prometheus basics and want to push your expertise further, this book offers advanced topics to take your monitoring capabilities to the next level.I was intrigued by few advanced concepts that were -1. Scaling Prometheus2. Optimizing and Debugging Prometheus3. Utilizing Remote Storage Systems with Prometheus4. Extending Prometheus Globally with Thanos5. Utilizing Continuous Integration (CI) Pipelines with Prometheus6. Integrating Prometheus with OpenTelemetryAs a DevOps Engineer, I can say that you will find this book valuable if you want to take your Prometheus skills to the next level and build robust monitoring solutions for demanding environments.

N/A Nov 14, 2024

I purchased this eBook 2 days ago; it's over 300 printed pages of content. I spent about 2 hours with it over the weekend, but still have 93% of the content to read. That is, I have no idea what kind of rating to give to this material, but I'm already being prompted to review it. This book might be amazing! Or it might be awful! I don't know (yet)! My options are to review it now and (hopefully) stop the emails, or try to figure out how to unsubscribe (which I shouldn't have to do, and which isn't guaranteed to work), or I have to build a spam filter to block messages from feefo (which I shouldn't have to do, and maybe don't want to do, because maybe I want to come back and leave a legit review at some point). So I'm leaving this crappy 3-star review right now in hopes that the emails will stop and that maybe somebody somewhere will catch a clue: Wait a week, maybe 2 ~ 4 weeks, before pushing for feedback on a large volume like this.

Feefo Verified review

Amazon Customer Jul 30, 2024

Half of the book is things NOT Prometheus, all chosen examples are written in Go (not a big deal per se, python might have been more common..no stars reduced due to this though, just observation). Chose container tech is linode (exactly, why?!). For local setups, local testing, trying docker would have made much more sense. Linode market share is 2.6%, definitely not amongst most popular ones.I would have spent more time on PromQL , data collection, exporters, push proxies, how to handle, mitigate offline collection difficulties (yes, surprisingly network connection is not always available), or having mobile clients which are not continuously available, what measurement to take,ensure if big lump of metrics arrive late, instead of connecting to huge lump of exporters (hard coded), how to ensure exporters are available in widely dynamic networks. Lot of practical solutions stemming from real life monitoring dilemmas, just happy-path is considered.So half of book is not Prometheus, grand ignorance of real world issues, 2 stars off.Rest, it's pretty good, does go to depths of Prometheus, focuses on having it running and keeping it running, data compacting, scaling (alongside Kubernetes), templates, alerting, SLAs,SLOs.Worth the money still? Really depends on your needs, might be. I don't have another book to compare, I'm very familiar with large scale monitoring solutions with decades of experience, Prometheus itself was somewhat new to me. I consider the Prometheus part of the book worth compared to available online documentation.But I really was anticipating MASTERING prometheus, did fall short for afore mentioned reasons.

Mastering Prometheus: Gain expert tips to monitoring your infrastructure, applications, and services

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