Book Image

Observability with Grafana

By : Rob Chapman, Peter Holmes
Book Image

Observability with Grafana

By: Rob Chapman, Peter Holmes

Overview of this book

To overcome application monitoring and observability challenges, Grafana Labs offers a modern, highly scalable, cost-effective Loki, Grafana, Tempo, and Mimir (LGTM) stack along with Prometheus for the collection, visualization, and storage of telemetry data. Beginning with an overview of observability concepts, this book teaches you how to instrument code and monitor systems in practice using standard protocols and Grafana libraries. As you progress, you’ll create a free Grafana cloud instance and deploy a demo application to a Kubernetes cluster to delve into the implementation of the LGTM stack. You’ll learn how to connect Grafana Cloud to AWS, GCP, and Azure to collect infrastructure data, build interactive dashboards, make use of service level indicators and objectives to produce great alerts, and leverage the AI & ML capabilities to keep your systems healthy. You’ll also explore real user monitoring with Faro and performance monitoring with Pyroscope and k6. Advanced concepts like architecting a Grafana installation, using automation and infrastructure as code tools for DevOps processes, troubleshooting strategies, and best practices to avoid common pitfalls will also be covered. After reading this book, you’ll be able to use the Grafana stack to deliver amazing operational results for the systems your organization uses.
Table of Contents (22 chapters)
1
Part 1: Get Started with Grafana and Observability
5
Part 2: Implement Telemetry in Grafana
10
Part 3: Grafana in Practice
15
Part 4: Advanced Applications and Best Practices of Grafana

Automation with Infrastructure as Code

This chapter will explore how to use Infrastructure as Code (IaC) tools to automate the management of the various components of the Grafana observability platform. We will focus on Ansible, Terraform, and Helm, which allow teams to manage many aspects of their systems repeatably and automatically. This chapter divides the platform into the collection and processing layer, the storage layer, and the visualization layer and will outline how to automate each of these components. This chapter will provide the technical tools to create an easy-to-manage and very scalable observability platform, and combined with the information in Chapter 11, you will be well placed to lead your organization in easily leveraging the power of observability.

In this chapter, we’re going to cover the following main topics:

  • Benefits of automating Grafana
  • Introducing the components of observability systems
  • Automating collection infrastructure with...