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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 VMware Application Catalog?

The following are the key areas where VAC addresses detailed challenges with its capabilities for delivering better developer productivity, security, and operational practices when it comes to providing a way to consume popular open source software (OSS) and deploy it as running containers.

Using the right tool for the right purpose with the flexibility of choice

As we discussed previously, most business applications depend on one or more backing services, and depending on the nature of the application, the need for such backing services can be different. We have seen that using a relational database as a backend data store has been the most common backing service for the past several years. But some modern cloud-native applications could perform better with other data stores such as NoSQL. Similarly, if an application needs a queue as a backing service, we can use either Kafka or RabbitMQ. But both Kafka and RabbitMQ have their own niche use cases...

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