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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

Benefits of automating Grafana

Observability tooling combines the collection, storage, and visualization of telemetry from many applications, infrastructure services, and other components of systems. Automation offers us a way of providing a testable, repeatable way of delivering these needs. Using industry-standard tools such as Helm, Ansible, and Terraform helps us maintain these systems in the long term. There are a lot of benefits to using automation, including the following:

  • It reduces the risks associated with manual processes.
  • Domain experts can provide automation for systems that developers interact with. This gives development teams confidence that they are using unfamiliar systems correctly. This knowledge comes in the following forms:
    • Data architecture for telemetry
    • Repeatable system architecture
    • Best practices for managing data visualizations
  • By providing automation, domain experts are able to focus on higher-value work by letting teams self-serve using more...
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