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Course Outline
Advanced MuleSoft Architecture
- Enterprise integration patterns
- MuleSoft runtime options and deployment strategies
- Designing 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 strategies
Batch Processing and Parallelism
- Batch job phases and record-level error handling
- Parallel processing and streaming
- Use cases for large-scale data ingestion
Advanced DataWeave Techniques
- Pattern matching and functional programming within DataWeave
- Data transformation pipelines and custom modules
- DataWeave performance tuning
API Management and Security
- Securing APIs using OAuth 2.0 and client credentials
- Custom policies and throttling
- External identity providers and SSO integration
Testing, Debugging, and Troubleshooting
- Unit testing Mule applications with MUnit
- Debugging complex flows in Anypoint Studio
- Log management and custom error reports
Deployment, Monitoring, and CI/CD
- CloudHub versus Runtime Fabric deployment
- Monitoring with Anypoint Monitoring and external tools
- CI/CD pipelines using Git, Maven, and Jenkins
Summary and Next Steps
Requirements
- A solid grasp of MuleSoft fundamentals and basic flow development.
- Practical experience using Anypoint Studio and working with APIs.
- Familiarity with REST, HTTP, and foundational integration patterns.
Audience
- Integration specialists constructing complex solutions with MuleSoft.
- Developers seeking to expand their MuleSoft expertise beyond introductory levels.
- Architects and consultants designing enterprise-grade integration architectures.
21 Hours
Testimonials (1)
Good insight in defining an API, deploying and running an API.
