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

Architecting an Observability Platform

This chapter covers several topics related to architecting a great observability platform for teams in an organization to use. We will discuss how to structure data into domains to help find relevant data quickly in even the largest organizations, and how that relates to other aspects of the business, such as financial reporting and business intelligence (BI). Then, we will discuss architecting the four main system components of an observability platform: data production, data collection, data storage, and data uses such as visualization and alerting. We will cover how to link the architecture with the IaC tools that were discussed in Chapter 10. After that, we will discuss how to use various easily available tools to validate a design with local testing. These tools can also be used in CI/CD pipelines to validate the platform after a change has been implemented. We will discuss the role-based access controls (RBACs) that are implemented in Grafana...