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DevSecOps in Practice with VMware Tanzu

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

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803241340
Length 436 pages
Edition 1st Edition
Concepts
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Authors (2):
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Robert Hardt Robert Hardt
Author Profile Icon Robert Hardt
Robert Hardt
Parth Pandit Parth Pandit
Author Profile Icon Parth Pandit
Parth Pandit
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Table of Contents (19) Chapters Close

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 17. Other Books You May Enjoy Appendix

Why Aria?

Aria is an observability tool rather than a monitoring tool. A monitoring tool can tell you that an application is running slowly, but an observability tool can help you find the root cause for the application being slow. This is because it allows you to correlate the health indicators coming from all the surrounding components that could impact an application’s performance. It could be an issue at the operating system (OS) layer or a slow-running query in a database. The main strength of an observability tool is its ability to ingest data points from all possible systems and layers and for all different health indicators that could make a significant event. It then allows you to find the needle in the haystack by reducing the noise of irrelevant data by applying correlation formulas to the collected data. An observability tool can help you identify abnormal traffic patterns, latencies, error rates, and many more attributes, based on historical data patterns. For example...

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