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Hands-On Infrastructure Monitoring with Prometheus

Hands-On Infrastructure Monitoring with Prometheus: Implement and scale queries, dashboards, and alerting across machines and containers

Joel Bastos

Pedro Araújo

$26.99

3.1 (7 Ratings)

eBook May 2019 442 pages 1st Edition

Renews at $19.99p/m

Joel Bastos

Pedro Araújo

$26.99

3.1 (7 Ratings)

eBook May 2019 442 pages 1st Edition

Renews at $19.99p/m

Renews at $19.99p/m

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Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

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Key benefits

Integrate Prometheus with Alertmanager and Grafana for building a complete monitoring system
Explore PromQL, Prometheus' functional query language, with easy-to-follow examples
Learn how to deploy Prometheus components using Kubernetes and traditional instances

Description

Prometheus is an open source monitoring system. It provides a modern time series database, a robust query language, several metric visualization possibilities, and a reliable alerting solution for traditional and cloud-native infrastructure. This book covers the fundamental concepts of monitoring and explores Prometheus architecture, its data model, and how metric aggregation works. Multiple test environments are included to help explore different configuration scenarios, such as the use of various exporters and integrations. You’ll delve into PromQL, supported by several examples, and then apply that knowledge to alerting and recording rules, as well as how to test them. After that, alert routing with Alertmanager and creating visualizations with Grafana is thoroughly covered. In addition, this book covers several service discovery mechanisms and even provides an example of how to create your own. Finally, you’ll learn about Prometheus federation, cross-sharding aggregation, and also long-term storage with the help of Thanos. By the end of this book, you’ll be able to implement and scale Prometheus as a full monitoring system on-premises, in cloud environments, in standalone instances, or using container orchestration with Kubernetes.

Who is this book for?

If you’re a software developer, cloud administrator, site reliability engineer, DevOps enthusiast or system admin looking to set up a fail-safe monitoring and alerting system for sustaining infrastructure security and performance, this book is for you. Basic networking and infrastructure monitoring knowledge will help you understand the concepts covered in this book.

What you will learn

Grasp monitoring fundamentals and implement them using Prometheus
Discover how to extract metrics from common infrastructure services
Find out how to take full advantage of PromQL
Design a highly available, resilient, and scalable Prometheus stack
Explore the power of Kubernetes Prometheus Operator
Understand concepts such as federation and cross-shard aggregation
Unlock seamless global views and long-term retention in cloud-native apps with Thanos

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : May 31, 2019

Length: 442 pages

Edition : 1st

Language : English

ISBN-13 : 9781789808032

Category :

Programming

Concepts :

Application Monitoring

Tools :

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Hands-On Infrastructure Monitoring with Prometheus

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Table of Contents

20 Chapters

Section 1: Introduction

Section 1: Introduction

Monitoring Fundamentals

Monitoring Fundamentals

Definition of monitoring

Whitebox versus blackbox monitoring

Understanding metrics collection

Further reading

An Overview of the Prometheus Ecosystem

An Overview of the Prometheus Ecosystem

Metrics collection with Prometheus

Exposing internal state with exporters

Alert routing and management with Alertmanager

Visualizing your data

Further reading

Setting Up a Test Environment

Setting Up a Test Environment

Code organization

Machine requirements

Spinning up a new environment

Further reading

Section 2: Getting Started with Prometheus

Section 2: Getting Started with Prometheus

Prometheus Metrics Fundamentals

Prometheus Metrics Fundamentals

Understanding the Prometheus data model

A tour of the four core metric types

Longitudinal and cross-sectional aggregations

Further reading

Running a Prometheus Server

Running a Prometheus Server

Deep dive into the Prometheus configuration

Managing Prometheus in a standalone server

Managing Prometheus in Kubernetes

Further reading

Exporters and Integrations

Exporters and Integrations

Test environments for this chapter

Operating system exporter

Container exporter

From logs to metrics

Blackbox monitoring

Pushing metrics

Further reading

Prometheus Query Language - PromQL

Prometheus Query Language - PromQL

The test environment for this chapter

Getting to know the basics of PromQL

Common patterns and pitfalls

Moving on to more complex queries

Further reading

Troubleshooting and Validation

Troubleshooting and Validation

The test environment for this chapter

Exploring promtool

Logs and endpoint validation

Analyzing the time series database

Further reading

Section 3: Dashboards and Alerts

Section 3: Dashboards and Alerts

Defining Alerting and Recording Rules

Defining Alerting and Recording Rules

Creating the test environment

Understanding how rule evaluation works

Setting up alerting in Prometheus

Testing your rules

Further reading

Discovering and Creating Grafana Dashboards

Discovering and Creating Grafana Dashboards

Test environment for this chapter

How to use Grafana with Prometheus

Building your own dashboards

Discovering ready-made dashboards

Default Prometheus visualizations

Further reading

Understanding and Extending Alertmanager

Understanding and Extending Alertmanager

Setting up the test environment

Alertmanager fundamentals

Alertmanager configuration

Common Alertmanager notification integrations

Customizing your alert notifications

Who watches the Watchmen?

Further reading

Section 4: Scalability, Resilience, and Maintainability

Section 4: Scalability, Resilience, and Maintainability

Choosing the Right Service Discovery

Choosing the Right Service Discovery

Test environment for this chapter

Running through the service discovery options

Using a built-in service discovery

Building a custom service discovery

Further reading

Scaling and Federating Prometheus

Scaling and Federating Prometheus

Test environment for this chapter

Scaling with the help of sharding

Having a global view using federation

Using Thanos to mitigate Prometheus shortcomings at scale

Further reading

Integrating Long-Term Storage with Prometheus

Integrating Long-Term Storage with Prometheus

Test environment for this chapter

Remote write and remote read

Options for metrics storage

Thanos remote storage and ecosystem

Further reading

Assessments

Chapter 1, Monitoring Fundamentals

Chapter 2, An Overview of the Prometheus Ecosystem

Chapter 3, Setting Up a Test Environment

Chapter 4, Prometheus Metrics Fundamentals

Chapter 5, Running a Prometheus Server

Chapter 6, Exporters and Integrations

Chapter 7, Prometheus Query Language - PromQL

Chapter 8, Troubleshooting and Validation

Chapter 9, Defining Alerting and Recording Rules

Chapter 10, Discovering and Creating Grafana Dashboards

Chapter 11, Understanding and Extending Alertmanager

Chapter 12, Choosing the Right Service Discovery

Chapter 13, Scaling and Federating Prometheus

Chapter 14, Integrating Long-Term Storage with Prometheus

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About the authors

Joel Bastos

Joel Bastos

Joel Bastos is an open source supporter and contributor, with a background in infrastructure security and automation. He is always striving for the standardization of processes, code maintainability, and code reusability. He has defined, led, and implemented critical, highly available, and fault-tolerant enterprise and web-scale infrastructures in several organizations, with Prometheus as the cornerstone. He has worked at two unicorn companies in Portugal and at one of the largest transaction-oriented gaming companies in the world. Previously, he has supported several governmental entities with projects such as the Public Key Infrastructure for the Portuguese citizen card. You can find his blogs at kintoandar and on Twitter with the handle @kintoandar.

See other products by Joel Bastos

Pedro Araújo

Pedro Araújo

Pedro Arajo is a site reliability and automation engineer and has defined and implemented several standards for monitoring at scale. His contributions have been fundamental in connecting development teams to infrastructure. He is highly knowledgeable about infrastructure, but his passion is in the automation and management of large-scale, highly-transactional systems. Pedro has contributed to several open source projects, such as Riemann, OpenTSDB, Sensu, Prometheus, and Thanos. You can find him on Twitter with the handle @phcrva.

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