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Course Outline
Advanced MuleSoft Architecture
- Enterprise integration patterns.
- MuleSoft runtime options and deployment strategies.
- Strategies for designing modular and reusable applications.
Complex Flow Design and Error Handling
- Advanced flow control and message routing mechanisms.
- Utilization of Try, Catch, and Rollback scopes.
- Transaction management and reconnection strategies.
Batch Processing and Parallelism
- Batch job phases and record-level error handling.
- Parallel processing techniques and streaming.
- Practical use cases for large-scale data ingestion.
Advanced DataWeave Techniques
- Pattern matching and functional programming within DataWeave.
- Construction of data transformation pipelines and custom modules.
- Performance tuning for DataWeave.
API Management and Security
- Securing APIs using OAuth 2.0 and client credentials.
- Implementation of custom policies and throttling.
- Integration with external identity providers and Single Sign-On (SSO).
Testing, Debugging, and Troubleshooting
- Unit testing Mule applications with MUnit.
- Debugging complex flows within Anypoint Studio.
- Log management and generation of custom error reports.
Deployment, Monitoring, and CI/CD
- Comparing CloudHub versus Runtime Fabric deployment.
- Monitoring using Anypoint Monitoring alongside external tools.
- Implementing CI/CD pipelines with Git, Maven, and Jenkins.
Summary and Next Steps
Requirements
- A solid understanding of MuleSoft fundamentals and basic flow development.
- Practical experience with Anypoint Studio and API management.
- Familiarity with REST, HTTP, and fundamental integration patterns.
Target Audience
- Integration specialists tasked with building complex solutions using MuleSoft.
- Developers aiming to expand their MuleSoft expertise beyond foundational concepts.
- Architects and consultants responsible for designing enterprise-level integration architectures.
21 Hours
Testimonials (1)
Good insight in defining an API, deploying and running an API.
