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

Summary

In this chapter, we have gone over best practices and troubleshooting techniques for data collection and the Grafana stack. We have looked at ways to avoid the pitfalls of observability as a whole, wrapping the chapter up with a look at future trends in application monitoring. These sections should have given you insights that will support your observability platform being a success, and help you get value from your platform for your users quicker and more efficiently. Now that we’ve completed the final chapter in our journey together through Observability with Grafana, let’s take a moment to review our key learnings.

In the first part of the book, we introduced observability and Grafana, along with a look at application and infrastructure instrumentation. We closed that part by setting up the OpenTelemetry demonstration application in your own Kubernetes environment.

In part two, we worked through different telemetry types that you will encounter with Grafana...