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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
Testimonials (1)
Good insight in defining an API, deploying and running an API.