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When migrating from an on-premises cluster to a Runtime Fabric (RTF) cluster, and needing to enable Mule applications to store and share data across application replicas and restarts, the use of Anypoint Object Store V2 is the most suitable option. Here’s why and how to implement it:

• Understanding Object Store V2:
• Setting Up Anypoint Object Store V2:
• Configuration Steps:

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• Deploying on RTF:
• Benefits:

References:

• MuleSoft Documentation on Object Store V2
• MuleSoft Documentation on Runtime Fabric

To close the IT delivery gap, MuleSoft recommends that IT organizations make their technology assets easily discoverable via a central repository. This approach ensures that existing assets, such as APIs, connectors, templates, and other reusable components, are accessible to all teams within the organization. By having a central repository, teams can quickly find and leverage these assets, reducing duplication of effort, speeding up project delivery, and fostering a culture of reuse and collaboration. This strategy aligns with the principles of an API-led connectivity approach, where reusable assets and APIs form the foundation for scalable and efficient IT delivery.

References

• MuleSoft Documentation on API-led Connectivity
• Anypoint Platform Best Practices for Asset Management

Leveraging existing Java-based capabilities for data transformations in a Mule application can enhance efficiency and reuse. Here’s how to integrate Java classes for transformations:

• Create Java Classes:
• Configure DataWeave to Call Java Methods:

%dw 2.0 import * from my.package.ClassName output application/json --- { transformedData: ClassName::methodName(payload) }

• Perform Transformations:
• Test Transformations:

This approach allows for seamless integration of existing Java logic into Mule applications, leveraging DataWeave’s power for comprehensive data transformations.

References

• MuleSoft Documentation: DataWeave and Java Integration
• MuleSoft Documentation: Using Java with Mule