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Course Outline
Advanced MuleSoft Architecture
- Enterprise-grade integration patterns
- MuleSoft runtime capabilities and deployment methodologies
- Creating modular, reusable application components
Complex Flow Design and Error Handling
- Sophisticated flow control and message routing logic
- Utilizing Try, Catch, and Rollback scopes
- Transaction management and automatic reconnection strategies
Batch Processing and Parallelism
- Batch job phases and record-level error resolution
- Parallel processing and data streaming techniques
- Scenarios for high-volume data ingestion
Advanced DataWeave Techniques
- Pattern matching and functional programming approaches in DataWeave
- Building data transformation pipelines and custom modules
- Optimizing DataWeave for peak performance
API Management and Security
- Securing APIs via OAuth 2.0 and client credential flows
- Implementing custom policies and rate throttling
- Integration with external identity providers and SSO
Testing, Debugging, and Troubleshooting
- Unit testing Mule applications using MUnit
- Diagnosing complex flows within Anypoint Studio
- Log oversight and generating custom error reports
Deployment, Monitoring, and CI/CD
- Comparing CloudHub and Runtime Fabric deployment models
- Monitoring via Anypoint Monitoring and supplementary external tools
- Establishing CI/CD pipelines using Git, Maven, and Jenkins
Summary and Next Steps
Requirements
- Solid grasp of MuleSoft fundamentals and the development of basic flows
- Practical experience with Anypoint Studio and API interactions
- Proficiency in REST, HTTP, and core integration patterns
Target Audience
- Integration specialists crafting complex solutions using MuleSoft
- Developers aiming to deepen their MuleSoft expertise beyond entry-level concepts
- Architects and consultants shaping enterprise-wide integration architectures
21 Hours
Testimonials (1)
Good insight in defining an API, deploying and running an API.