You're reading from DevSecOps in Practice with VMware Tanzu Build, run, and manage secure multi-cloud apps at scale on Kubernetes with the Tanzu portfolio

Product type Paperback

Published in Jan 2023

Publisher Packt

ISBN-13 9781803241340

Length 436 pages

Edition 1st Edition

Tools

Kubernetes

Concepts

DevOps

Authors (2):

Robert Hardt

Parth Pandit

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Table of Contents (19) Chapters

Preface

1. Part 1 – Building Cloud-Native Applications on the Tanzu Platform

2. Chapter 1: Understanding the Need to Move to a Cloud Platform FREE CHAPTER

3. Chapter 2: Developing Cloud-Native Applications

4. Chapter 3: Building Secure Container Images with Build Service

5. Chapter 4: Provisioning Backing Services for Applications

6. Chapter 5: Defining and Managing Business APIs

7. Part 2 – Running Cloud-Native Applications on Tanzu

8. Chapter 6: Managing Container Images with Harbor

9. Chapter 7: Orchestrating Containers across Clouds with Tanzu Kubernetes Grid

10. Chapter 8: Enhancing Developer Productivity with Tanzu Application Platform

11. Part 3 – Managing Modern Applications on the Tanzu Platform

12. Chapter 9: Managing and Controlling Kubernetes Clusters with Tanzu Mission Control

13. Chapter 10: Realizing Full-Stack Visibility with VMware Aria Operations for Applications

14. Chapter 11: Enabling Secure Inter-Service Communication with Tanzu Service Mesh

15. Chapter 12: Bringing It All Together

16. Index

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Appendix

Unboxing Aria

After understanding the reasons why and the use cases for which Aria can be a valuable tool to comprehensively monitor your cloud-native applications, let’s now learn more about the tool to understand what different data formats it can capture, its deployment architecture, and the building blocks that comprise this distributed system.

Supported data formats in Aria

The following is the list of different data formats that Aria can ingest and then use to generate useful charts, dashboards, and alerts.

Metrics

A metric is a small text-based record that carries the state data of a source being monitored at a specific timestamp. It may optionally have other tags for additional metadata that can be used to build useful queries for joins and filters. The most common form of metrics is time-series-based. We use it to report things such as the amount of a server’s memory occupied at any given point in time: