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

Managing dashboards and alerts with Terraform or Ansible

As dashboards are typically managed by the teams responsible for a service or application, it is best practice to separate the tooling to deploy dashboards from the tooling to manage observability infrastructure. We will discuss the practicalities of this in Chapter 14.

For managing dashboards, both Terraform and Ansible leverage the fact that Grafana dashboards are JSON objects, providing a mechanism to upload a JSON file with the dashboard configuration to the Grafana instance. Let’s look at how this works.

The Terraform code looks like this:

resource "grafana_dashboard" "top_level " {
  config_json = file("top-level.json")
  overwrite = true
}

A collection of dashboard JSON files can be iterated over using the Terraform fileset function with a for_each command. This makes it very easy for a team to manage all its dashboards in an automated manner by saving...