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Course Outline
Advanced MuleSoft Architecture
- Enterprise-level integration patterns
- MuleSoft runtime capabilities and deployment methodologies
- Construction of modular, reusable application components
Complex Flow Design and Error Handling
- Advanced flow control mechanisms and message routing
- Utilization of Try, Catch, and Rollback scopes
- Transaction management and reconnection strategies
Batch Processing and Parallelism
- Batch job phases and granular error handling
- Parallel processing and streaming techniques
- Applications in high-volume data ingestion scenarios
Advanced DataWeave Techniques
- Pattern matching and functional programming approaches in DataWeave
- Development of data transformation pipelines and custom modules
- Optimizing DataWeave for enhanced performance
API Management and Security
- Securing APIs via OAuth 2.0 and client credential flows
- Configuration of custom policies and throttling rules
- Integration with external identity providers and SSO
Testing, Debugging, and Troubleshooting
- Unit testing Mule applications using MUnit
- Diagnosing complex flows within Anypoint Studio
- Log administration and custom error reporting
Deployment, Monitoring, and CI/CD
- Comparing CloudHub and Runtime Fabric deployment models
- Monitoring via Anypoint Monitoring and third-party tools
- Building CI/CD pipelines with Git, Maven, and Jenkins
Summary and Next Steps
Requirements
- Grasp of MuleSoft core concepts and fundamental flow development
- Proficiency in using Anypoint Studio and interacting with APIs
- Adeptness with REST, HTTP, and fundamental integration patterns
Target Audience
- Integration specialists crafting complex solutions using MuleSoft
- Developers seeking to deepen their MuleSoft expertise beyond introductory levels
- Architects and consultants shaping enterprise integration frameworks
21 Hours
Testimonials (1)
Good insight in defining an API, deploying and running an API.
