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Course Outline
Advanced MuleSoft Architecture
- Enterprise integration methodologies
- MuleSoft runtime choices and deployment tactics
- Creating modular and reusable application structures
Intricate Flow Design and Error Management
- Sophisticated flow control and message routing
- Application of Try, Catch, and Rollback scopes
- Transaction oversight and reconnection methodologies
Batch Processing and Concurrent Execution
- Batch job phases and granular record-level error handling
- Concurrent processing and data streaming
- Practical scenarios for large-scale data ingestion
Advanced DataWeave Methodologies
- Pattern matching and functional programming approaches in DataWeave
- Transformation pipelines and custom module development
- Optimizing DataWeave performance
API Governance and Security
- Protecting APIs via OAuth 2.0 and client credential mechanisms
- Implementation of custom policies and rate throttling
- Integration with external identity providers and Single Sign-On (SSO)
Testing, Diagnostics, and Issue Resolution
- Unit testing Mule applications using MUnit
- Debugging complex flows within Anypoint Studio
- Log oversight and customized error reporting
Deployment, Surveillance, and CI/CD
- Comparing CloudHub and Runtime Fabric deployment models
- Monitoring via Anypoint Monitoring and third-party tools
- Building CI/CD pipelines using Git, Maven, and Jenkins
Conclusion and Future Pathways
Requirements
- Foundational knowledge of MuleSoft principles and basic flow construction
- Practical experience with Anypoint Studio and API operations
- Acquaintance with REST, HTTP protocols, and fundamental integration patterns
Intended Audience
- Integration experts crafting complex solutions using MuleSoft
- Developers seeking to deepen their MuleSoft expertise beyond introductory levels
- Architects and consultants specializing in enterprise integration frameworks
21 Hours
Testimonials (1)
Good insight in defining an API, deploying and running an API.