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MuleSoft Platform Architect's Guide

MuleSoft Platform Architect's Guide

By : Jitendra Bafna, Jim Andrews
5 (8)
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MuleSoft Platform Architect's Guide

MuleSoft Platform Architect's Guide

5 (8)
By: Jitendra Bafna, Jim Andrews

Overview of this book

We’re living in the era of digital transformation, where organizations rely on APIs to enable innovation within the business and IT teams are asked to continue doing more with less. Written by Jim Andrews, a Mulesoft Evangelist, and Jitendra Bafna, a Senior Solution Architect with expertise in setting up Mulesoft, this book will help you deliver a robust, secure, and flexible enterprise API platform, supporting any required business outcome. You’ll start by exploring Anypoint Platform’s architecture and its capabilities for modern integration before learning how to align business outcomes with functional requirements and how non-functional requirements shape the architecture. You'll also find out how to leverage Catalyst and Accelerators for efficient development. You'll get to grips with hassle-free API deployment and hosting in CloudHub 1.0/2.0, Runtime Fabric Manager, and hybrid environments and familiarize yourself with advanced operating and monitoring techniques with API Manager and Anypoint Monitoring. The final chapters will equip you with best practices for tackling complex topics and preparing for the MuleSoft Certified Platform Architect exam. By the end of this book, you’ll understand Anypoint Platform’s capabilities and be able to architect solutions that deliver the desired business outcomes.
Table of Contents (21 chapters)
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CPU bursting in Runtime Fabric

Runtime Fabric CPU bursting is a concept based on Kubernetes CPU bursting technology. Whenever we deploy the application to Runtime Fabric, we need to allocate the correct resources, such as vCPU and memory, to the application to ensure that it can handle the required workloads.

When we deployed the application to Runtime Fabric, it deployed in the isolated Pod. Each replica of the application runs in a separate Pod. Each replica has its own Mule runtime, and resources such as vCPU and memory need to be allocated for each replica. We also need to determine the number of replicas that need to be created during deployment.

We need to allocate the following resources for the replica while deploying the application:

  • Reserved CPU: Guaranteed vCPU that’s available for the replica of the application.
  • CPU limit: The maximum CPU that can be used by the replica of the application (the level to which the CPU can burst).
  • Memory: The amount...

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