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 Duration 21 hours

Course Outline

Advanced MuleSoft Architecture

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

Complex Flow Design and Error Management

  • Sophisticated flow control and message routing techniques
  • Utilization of Try, Catch, and Rollback scopes
  • Transaction oversight and reconnection protocols

Batch Processing and Parallel Execution

  • Batch job lifecycle phases and record-specific error handling
  • Parallel processing and data streaming strategies
  • Strategies for handling large-scale data ingestion

Advanced DataWeave Practices

  • Applying pattern matching and functional programming concepts in DataWeave
  • Building data transformation pipelines and custom modules
  • Optimizing DataWeave performance

API Governance and Security

  • Implementing OAuth 2.0 and client credentials for API protection
  • Configuring custom policies and rate throttling
  • Integration with external identity providers and SSO

Testing, Debugging, and Issue Resolution

  • Unit testing Mule applications using MUnit
  • Troubleshooting complex flows within Anypoint Studio
  • Managing logs and generating custom error reports

Deployment, Monitoring, and Automation

  • Comparing CloudHub and Runtime Fabric deployment models
  • Monitoring via Anypoint Monitoring and third-party tools
  • Automating CI/CD pipelines with Git, Maven, and Jenkins

Conclusion and Future Directions

Requirements

  • A solid grasp of MuleSoft core concepts and fundamental flow development<\/li>
  • Practical experience with Anypoint Studio and API interaction<\/li>
  • Working knowledge of REST, HTTP, and standard integration patterns<\/li>

Target Audience

  • Integration specialists constructing intricate solutions with MuleSoft<\/li>
  • Developers aiming to deepen their MuleSoft expertise beyond entry-level skills<\/li>
  • Architects and consultants specializing in enterprise integration design<\/li>

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