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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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Runtime Fabric architecture on EKS

Let’s take a look at the Runtime Fabric on self-managed Kubernetes architecture. This architecture and how its many components interact and coordinate are shown in the following figure:

Figure 11.12 - Runtime Fabric architecture on EKS (self-managed Kubernetes)

Figure 11.12 - Runtime Fabric architecture on EKS (self-managed Kubernetes)

Figure 11.12 shows various components and how they interact with each other:

  • The Persistence Gateway is responsible for storing object store data in a persistent data store. The application must be clustered to share the data, such as in an object store or VM queues across the replicas. The Persistence Gateway will ensure that this data doesn’t vanish if the application restarts or is deployed and recovers from any crashes.
  • The Docker Pod is the worker node that’s responsible for pulling the specific version of the Mule runtime from the Mule Docker registry.
  • The log forwarder agent will forward logs to external systems, such...

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