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Course Outline

Advanced MuleSoft Architecture

  • Enterprise integration patterns
  • MuleSoft runtime options and deployment strategies
  • Creating modular and reusable application designs

Complex Flow Design and Error Handling

  • Sophisticated flow control and message routing mechanisms
  • Implementation of Try, Catch, and Rollback scopes
  • Transaction management and reconnection tactics

Batch Processing and Parallelism

  • Batch job phases and record-level error management
  • Parallel processing and data streaming
  • Applications for handling large-scale data ingestion

Advanced DataWeave Techniques

  • Applying pattern matching and functional programming within DataWeave
  • Constructing data transformation pipelines and custom modules
  • Optimizing DataWeave performance

API Management and Security

  • Protecting APIs using OAuth 2.0 and client credentials
  • Configuring custom policies and throttling rules
  • Integrating external identity providers and SSO solutions

Testing, Debugging, and Troubleshooting

  • Conducting unit tests on Mule applications via MUnit
  • Diagnosing complex flows within Anypoint Studio
  • Managing logs and generating custom error reports

Deployment, Monitoring, and CI/CD

  • Comparing CloudHub and Runtime Fabric deployment models
  • Monitoring operations using Anypoint Monitoring and external tools
  • Building CI/CD pipelines with Git, Maven, and Jenkins

Summary and Future Directions

Requirements

  • A solid grasp of MuleSoft fundamentals and basic flow development
  • Proficiency in using Anypoint Studio and interacting with APIs
  • Knowledge of REST, HTTP, and foundational integration patterns

Target Audience

  • Integration specialists crafting complex solutions with MuleSoft
  • Developers seeking to deepen their MuleSoft expertise beyond introductory levels
  • Architects and consultants planning enterprise-wide integration architectures
 21 Hours

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