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Observability with Grafana

Observability with Grafana

By : Rob Chapman, Peter Holmes
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Observability with Grafana

Observability with Grafana

4 (4)
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)
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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

Troubleshooting, Implementing Best Practices, and More with Grafana

We are nearing the end of our journey in Observability with Grafana, so this is a good time to revisit some of the things we have learned. In this chapter, we will review the best practices for data collection and look at troubleshooting techniques that can help get your telemetry into Grafana. We will then move on to the Grafana stack for more best practices and troubleshooting with your telemetry backend, alerts, and dashboards. We will identify some of the pitfalls of observability and how to avoid them. Then, before wrapping up, we will look to the future and explore potential trends on the horizon.

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

  • Best practices and troubleshooting for data collection
  • Best practices and troubleshooting for the Grafana stack
  • Avoiding pitfalls of observability
  • Future trends in application monitoring

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