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Course Outline

Advanced MuleSoft Architecture

  • Enterprise-grade integration patterns
  • MuleSoft runtime capabilities and deployment methodologies
  • Creating modular, reusable application components

Complex Flow Design and Error Handling

  • Sophisticated flow control and message routing logic
  • Utilizing Try, Catch, and Rollback scopes
  • Transaction management and automatic reconnection strategies

Batch Processing and Parallelism

  • Batch job phases and record-level error resolution
  • Parallel processing and data streaming techniques
  • Scenarios for high-volume data ingestion

Advanced DataWeave Techniques

  • Pattern matching and functional programming approaches in DataWeave
  • Building data transformation pipelines and custom modules
  • Optimizing DataWeave for peak performance

API Management and Security

  • Securing APIs via OAuth 2.0 and client credential flows
  • Implementing custom policies and rate throttling
  • Integration with external identity providers and SSO

Testing, Debugging, and Troubleshooting

  • Unit testing Mule applications using MUnit
  • Diagnosing complex flows within Anypoint Studio
  • Log oversight and generating custom error reports

Deployment, Monitoring, and CI/CD

  • Comparing CloudHub and Runtime Fabric deployment models
  • Monitoring via Anypoint Monitoring and supplementary external tools
  • Establishing CI/CD pipelines using Git, Maven, and Jenkins

Summary and Next Steps

Requirements

  • Solid grasp of MuleSoft fundamentals and the development of basic flows
  • Practical experience with Anypoint Studio and API interactions
  • Proficiency in REST, HTTP, and core integration patterns

Target Audience

  • Integration specialists crafting complex solutions using MuleSoft
  • Developers aiming to deepen their MuleSoft expertise beyond entry-level concepts
  • Architects and consultants shaping enterprise-wide integration architectures
 21 Hours

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