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Modern Network Observability

You're reading from   Modern Network Observability A hands-on approach using open source tools such as Telegraf, Prometheus, and Grafana

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781835081068
Length 506 pages
Edition 1st Edition
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Authors (3):
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Christian Adell Christian Adell
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Christian Adell
David Flores David Flores
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David Flores
Josh VanDeraa Josh VanDeraa
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Josh VanDeraa
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Table of Contents (20) Chapters Close

Preface 1. Part 1:Understanding Monitoring and Observability FREE CHAPTER
2. Chapter 1: Introduction to Monitoring and Observability 3. Chapter 2: Role of Monitoring and Observability in Network Infrastructure 4. Chapter 3: Data’s Role in Network Observability 5. Part 2: Building an Effective Observability Stack
6. Chapter 4: Observability Stack Architecture 7. Chapter 5: Data Collectors 8. Chapter 6: Data Distribution and Processing 9. Chapter 7: Data Storage Solutions for Network Observability 10. Chapter 8: Visualization – Bringing Network Observability to Life 11. Chapter 9: Alerting – Network Monitoring and Incident Management 12. Chapter 10: Real-World Observability Architectures 13. Part 3: Using Your Network Observability Data
14. Chapter 11: Applications of Your Observability Data – Driving Business Success 15. Chapter 12: Automation Powered by Observability Data – Streamlining Network Operations 16. Chapter 13: Leveraging Artificial Intelligence for Enhanced Network Observability 17. Index 18. Other Books You May Enjoy Appendix A

A look at Grafana Loki

Grafana Loki is essentially a toolkit to handle logs coming from systems and applications. It’s designed to gather and organize log information in a way that’s easy to use and efficient to store. Here’s how it works from a high-level standpoint:

  • Collection and indexing: Loki collects log data and indexes labels associated with log streams, such as application name or environment—similar to how Prometheus handles its data. These labels act as a quick-reference index, eliminating the need to search through the entire text of the logs.
  • Storage: The actual log messages are compressed and stored in chunks –compact pieces of data. These chunks can be kept in various storage solutions, including cloud services such as Amazon S3 or Google GCS, or on local servers. By compressing the logs and keeping the index minimal, Loki ensures compact storage use, reducing both resource consumption and costs.
  • Querying: Loki’...
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