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 explored the foundations that modern observability is built on. This will serve as easy reference and support for future chapters in this book and your own projects. First, we looked at the common log formats and their examples, which will assist us in Chapter 4, Looking at Logs with Grafana Loki. Then, we took a closer look at metrics, their differing types, some example protocols, and best practices to consider when designing metric-based observability. What we covered here will help with Chapter 5, Monitoring with Metrics Using Grafana Mimir and Prometheus. We then moved on to traces and spans, where we looked at current protocols and some best practices to consider when building an efficient and effective trace-based observability platform. This section lays the groundwork for Chapter 6, Tracing Technicalities with Grafana Tempo. After looking at the telemetry of observability, we learned about application instrumentation, which we will see more of in...