To expose existing non-MuleSoft APIs and secure them efficiently using Anypoint Platform, you can

create API proxies. This approach provides several benefits:

API Proxy Creation:

Creating a proxy involves setting up an intermediary that forwards requests to the existing backend

APIs. This allows you to leverage Anypoint Platform’s API management capabilities without rewriting

the existing APIs.

Proxies can be created quickly and configured to apply various security and governance policies.

Security and Management:

By creating a proxy, you can secure the APIs using Anypoint Platform’s features such as rate limiting,

authentication, and monitoring.

This method is time-efficient and leverages the robust security features of the Anypoint Platform

without significant redevelopment effort.

Reference:

Anypoint Platform API Proxy Documentation

Developing an RPA process that interacts with multiple applications and websites typically requires

the most effort due to several factors:

Complexity of Interaction:

RPA processes involve simulating human actions to interact with different user interfaces. This

includes navigating web pages, filling out forms, and clicking buttons, which can be complex and

time-consuming to script and test.

Integration Challenges:

The RPA process must handle different applications and websites, each with unique behaviors and

potential for errors. Ensuring reliable and consistent interaction across these systems requires

thorough testing and potentially custom handling for each system.

Maintenance and Updates:

RPA processes need to be maintained and updated as the applications or websites they interact with

change. This ongoing effort can be significant compared to other components.

Reference:

MuleSoft RPA Documentation

 Avoid DML in For Loops: Placing DML (Data Manipulation Language) operations inside a loop can

quickly exceed Salesforce governor limits, as each iteration performs a separate DML operation. It's

best to collect records in a list and perform DML operations outside the loop.

Reference: Salesforce Governor Limits

 Use Collection Variables: By looping through a collection variable and adding records to it, you can

perform bulk DML operations, which are more efficient and less likely to hit governor limits.

Reference: Apex Collections and Bulk Processing

 Use Upsert Action: Using the upsert action can reduce the number of DML statements by combining

insert and update operations. However, this strategy depends on the specific flow requirements and

data structure.

Reference: Salesforce Upsert Operation

 DML Statements at the End: Consolidating DML operations to the end of the flow is advisable, but

care should be taken to handle errors and exceptions appropriately.

Reference: Error Handling in Flows

When developing an RPA process using RPA Recorder, it is essential to be mindful of the following

best practices concerning the autogenerated workflow code:

Replace Autogenerated Code:

Robustness: Some of the autogenerated code may not be optimized for robustness or specific use

cases. It is often necessary to review and replace parts of the autogenerated workflow with more

robust or specialized action steps to ensure reliability and accuracy.

Specialization: Customizing the workflow to fit the specific requirements of the process can improve

performance and handle exceptions better.

Remove Sensitive Information:

Sensitive Data: Autogenerated workflows might capture sensitive information such as usernames,

passwords, or other confidential data. It is crucial to identify and remove or mask this information

before deploying the RPA process to production to maintain security and compliance.

Compliance: Ensuring that sensitive information is handled appropriately helps in adhering to data

protection regulations and organizational policies.

Reference:

MuleSoft RPA Documentation

 Anypoint Runtime Fabric: Anypoint Runtime Fabric (RTF) is designed for deploying Mule

applications on any cloud infrastructure, including AWS. It supports vertical and horizontal scalability

and enables zero-downtime deployments, which aligns with AnyAirlines' requirements.

Reference: Anypoint Runtime Fabric Overview

 Vertical/Horizontal Scalability: RTF allows scaling applications both vertically (adding more

resources to existing nodes) and horizontally (adding more nodes to the cluster). This ensures high

availability and performance.

Reference: Runtime Fabric Scalability

 Zero Downtime Deployments: RTF supports zero-downtime deployments by utilizing rolling updates

and canary deployments, ensuring that updates do not disrupt ongoing operations.

Reference: Zero Downtime Deployment with RTF

 AWS Integration: RTF can be deployed on AWS, leveraging existing cloud infrastructure capabilities

and providing a seamless integration experience.

Reference: Deploying RTF on AWS