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

Setting Up a Learning Environment with Demo Applications

This chapter guides you through setting up a learning environment for the practical examples throughout this book and for independent experimentation. As Grafana Labs offers a free tier of their cloud service, we will use this for the storage and searching of data. To produce rich, useful data, we will use the OpenTelemetry demo application. This demo application deploys the services needed to run the OpenTelemetry Astronomy Shop locally. These applications are written in many different languages and are instrumented to produce metrics, logs, and distributed traces. This application will help you interact directly (and via load generators) with real applications and see observability telemetry in real time in the Grafana Labs instance.

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

  • Introducing Grafana Cloud
  • Installing the prerequisite tools
  • Installing the OpenTelemetry Demo application...