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Duration 21 hours
Course Outline
Advanced MuleSoft Architecture
- Enterprise-grade integration patterns
- MuleSoft runtime configurations and deployment methodologies
- Creating modular, reusable application components
Complex Flow Design and Error Handling
- Advanced flow control logic and message routing
- Application of Try, Catch, and Rollback scopes
- Transaction management and reconnection strategies
Batch Processing and Parallelism
- Batch job phases and record-level error management
- Parallel processing and streaming capabilities
- Best practices for large-scale data ingestion
Advanced DataWeave Techniques
- Pattern matching and functional programming paradigms in DataWeave
- Construction of data transformation pipelines and custom modules
- Performance optimization for DataWeave
API Management and Security
- API protection using OAuth 2.0 and client credentials
- Implementation of custom policies and throttling mechanisms
- Integration with external identity providers and SSO
Testing, Debugging, and Troubleshooting
- Unit testing Mule applications using MUnit
- Debugging intricate flows within Anypoint Studio
- Log management and generation of custom error reports
Deployment, Monitoring, and CI/CD
- Comparative analysis of CloudHub vs Runtime Fabric deployment
- Monitoring via Anypoint Monitoring and complementary external tools
- Automation of CI/CD pipelines using Git, Maven, and Jenkins
Conclusion and Future Directions
Requirements
- Solid grasp of MuleSoft core concepts and fundamental flow development
- Proficiency with Anypoint Studio and practical experience handling APIs
- Knowledge of REST, HTTP, and foundational integration patterns
Target Audience
- Integration specialists engineering complex solutions using MuleSoft
- Developers aiming to transcend basic MuleSoft capabilities and deepen their expertise
- Architects and consultants crafting enterprise-wide integration architectures
Testimonials (1)
Good insight in defining an API, deploying and running an API.