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 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...