What this book covers

Chapter 1, Introduction to Monitoring and Observability, introduces what monitoring and observability are for networking nowadays.

Chapter 2, Role of Monitoring and Observability in Network Infrastructure, introduces what the role of the data is and covers how data can provide service levels.

Chapter 3, Data's Role in Network Observability, covers the various types of data within the observability stack and how the data is gathered.

Chapter 4, Observability Stack Architecture, introduces a modern observability stack for network observability and how to work with data for a multi-vendor solution in a flexible way.

Chapter 5, Data Collectors, covers how to collect data for metrics and logs.

Chapter 6, Data Distribution and Processing, covers how to enrich data collection with metadata in the metrics pipeline and a method of scaling out data collection.

Chapter 7, Data Storage Solutions for Network Observability, covers the database and storage mechanisms for persisting metrics and logs.

Chapter 8, Visualization – Bringing Network Observability to Life, walks us through using visualization tools to bring dashboards and data out of the database and to your eyes.

Chapter 9, Alerting – Network Monitoring and Incident Management, covers the basics of alerting: getting actionable alerts based on the telemetry data that is collected.

Chapter 10, Real-World Observability Architectures, explains how to use the new information to set you up for success with the data.

Chapter 11, Applications of Your Observability Data – Driving Business Success, introduces how to start to use the data and how to tailor the solutions that you would build to those who need to see the data.

Chapter 12, Automation Powered by Observability Data – Streamlining Network Operations, brings to light the capabilities of integrating the tooling with other systems, with explanations of accessing data programmatically and how to build closed-loop and event-driven automation.

Chapter 13, Leveraging Artificial Intelligence for Enhanced Network Observability, completes the story by connecting the data within the tooling introduced to machine learning and artificial intelligence to supercharge your automation.

Appendix A sets up the lab environment and contains elaboration on how to use its components.