Book Image

DevSecOps in Practice with VMware Tanzu

By : Parth Pandit, Robert Hardt
Book Image

DevSecOps in Practice with VMware Tanzu

By: Parth Pandit, Robert Hardt

Overview of this book

As Kubernetes (or K8s) becomes more prolific, managing large clusters at scale in a multi-cloud environment becomes more challenging – especially from a developer productivity and operational efficiency point of view. DevSecOps in Practice with VMware Tanzu addresses these challenges by automating the delivery of containerized workloads and controlling multi-cloud Kubernetes operations using Tanzu tools. This comprehensive guide begins with an overview of the VMWare Tanzu platform and discusses its tools for building useful and secure applications using the App Accelerator, Build Service, Catalog service, and API portal. Next, you’ll delve into running those applications efficiently at scale with Tanzu Kubernetes Grid and Tanzu Application Platform. As you advance, you’ll find out how to manage these applications, and control, observe, and connect them using Tanzu Mission Control, Tanzu Observability, and Tanzu Service Mesh. Finally, you’ll explore the architecture, capabilities, features, installation, configuration, implementation, and benefits of these services with the help of examples. By the end of this VMware book, you’ll have gained a thorough understanding of the VMWare Tanzu platform and be able to efficiently articulate and solve real-world business problems.
Table of Contents (19 chapters)
Part 1 – Building Cloud-Native Applications on the Tanzu Platform
Part 2 – Running Cloud-Native Applications on Tanzu
Part 3 – Managing Modern Applications on the Tanzu Platform

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...