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Observability with Grafana

You're reading from   Observability with Grafana Monitor, control, and visualize your Kubernetes and cloud platforms using the LGTM stack

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781803248004
Length 356 pages
Edition 1st Edition
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Authors (2):
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Rob Chapman Rob Chapman
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Rob Chapman
Peter Holmes Peter Holmes
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Peter Holmes
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Table of Contents (22) Chapters Close

Preface 1. Part 1: Get Started with Grafana and Observability
2. Chapter 1: Introducing Observability and the Grafana Stack FREE CHAPTER 3. Chapter 2: Instrumenting Applications and Infrastructure 4. Chapter 3: Setting Up a Learning Environment with Demo Applications 5. Part 2: Implement Telemetry in Grafana
6. Chapter 4: Looking at Logs with Grafana Loki 7. Chapter 5: Monitoring with Metrics Using Grafana Mimir and Prometheus 8. Chapter 6: Tracing Technicalities with Grafana Tempo 9. Chapter 7: Interrogating Infrastructure with Kubernetes, AWS, GCP, and Azure 10. Part 3: Grafana in Practice
11. Chapter 8: Displaying Data with Dashboards 12. Chapter 9: Managing Incidents Using Alerts 13. Chapter 10: Automation with Infrastructure as Code 14. Chapter 11: Architecting an Observability Platform 15. Part 4: Advanced Applications and Best Practices of Grafana
16. Chapter 12: Real User Monitoring with Grafana 17. Chapter 13: Application Performance with Grafana Pyroscope and k6 18. Chapter 14: Supporting DevOps Processes with Observability 19. Chapter 15: Troubleshooting, Implementing Best Practices, and More with Grafana 20. Index 21. Other Books You May Enjoy

Using libraries to instrument efficiently

Instrumenting your application code to emit the telemetry of logs, metrics, and traces can be complex, time-consuming, and difficult to maintain. There are two main approaches to solving this problem – automatic instrumentation and manual instrumentation – with a wide selection of SDKs and libraries available to support them. Here is a brief overview of them:

  • Automatic instrumentation: Automatic instrumentation is the simplest to implement but can lack the level of control that’s often required when building an observability platform. In a very short space of time, it will provide visibility into your application and help you start answering your observability questions. Without careful configuration and design, this will lead to other problems such as performance and cost issues, and, in the worst case, render the observability platform useless.

    The approach varies depending on the programming language; for example...

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