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Course Outline

Advanced MuleSoft Architecture

  • Enterprise integration patterns.
  • MuleSoft runtime options and deployment strategies.
  • Designing modular and reusable applications.

Complex Flow Design and Error Handling

  • Advanced flow control and message routing.
  • Try, Catch, and Rollback scopes.
  • Transaction management and reconnection strategies.

Batch Processing and Parallelism

  • Batch job phases and record-level error handling.
  • Parallel processing and streaming techniques.
  • Use cases for large-scale data ingestion.

Advanced DataWeave Techniques

  • Pattern matching and functional programming in DataWeave.
  • Data transformation pipelines and custom modules.
  • Performance tuning for DataWeave.

API Management and Security

  • Securing APIs with OAuth 2.0 and client credentials.
  • Custom policies and throttling mechanisms.
  • Integration with external identity providers and SSO.

Testing, Debugging, and Troubleshooting

  • Unit testing Mule applications with MUnit.
  • Debugging complex flows in Anypoint Studio.
  • Log management and creating custom error reports.

Deployment, Monitoring, and CI/CD

  • CloudHub versus Runtime Fabric deployment.
  • Monitoring using Anypoint Monitoring and third-party tools.
  • CI/CD pipelines leveraging Git, Maven, and Jenkins.

Summary and Next Steps

Requirements

  • A solid grasp of MuleSoft fundamentals and basic flow development.
  • Practical experience with Anypoint Studio and API management.
  • Familiarity with REST, HTTP protocols, and fundamental integration patterns.

Audience

  • Integration specialists developing complex solutions with MuleSoft.
  • Developers seeking to expand their MuleSoft expertise beyond foundational concepts.
  • Architects and consultants designing enterprise-level integration architectures.
 21 Hours

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