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Course Outline
Advanced MuleSoft Architecture
- Enterprise integration patterns
- MuleSoft runtime alternatives and deployment strategies
- Creating 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 tactics
Batch Processing and Parallelism
- Batch job phases and record-level error management
- Parallel processing and streaming capabilities
- Scenarios for large-scale data ingestion
Advanced DataWeave Techniques
- Pattern matching and functional programming in DataWeave
- Data transformation pipelines and custom modules
- Optimizing DataWeave performance
API Management and Security
- Securing APIs with OAuth 2.0 and client credentials
- Custom policies and throttling mechanisms
- External identity providers and SSO integration
Testing, Debugging, and Troubleshooting
- Unit testing Mule applications using MUnit
- Debugging complex flows within Anypoint Studio
- Log management and custom error reporting
Deployment, Monitoring, and CI/CD
- Comparing CloudHub and Runtime Fabric deployments
- Monitoring via Anypoint Monitoring and external tools
- Establishing CI/CD pipelines with Git, Maven, and Jenkins
Summary and Next Steps
Requirements
- Proficiency in MuleSoft fundamentals and basic flow construction
- Practical experience with Anypoint Studio and API operations
- Working knowledge of REST, HTTP, and fundamental integration patterns
Target Audience
- Integration specialists developing complex solutions on MuleSoft
- Developers aiming to advance their MuleSoft expertise beyond introductory levels
- Architects and consultants shaping enterprise integration architectures
21 Hours
Testimonials (1)
Good insight in defining an API, deploying and running an API.
