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Course Outline
Advanced MuleSoft Architecture
- Enterprise-grade integration patterns
- MuleSoft runtime options and deployment methodologies
- Structuring modular and reusable applications
Complex Flow Design and Error Management
- Sophisticated flow control and message routing techniques
- Implementation of Try, Catch, and Rollback scopes
- Transaction oversight and reconnection tactics
Batch Processing and Parallel Execution
- Batch job lifecycle and record-level error resolution
- Parallel processing and data streaming capabilities
- Application scenarios for high-volume data ingestion
Advanced DataWeave Methodologies
- Pattern matching and functional programming approaches in DataWeave
- Construction of data transformation pipelines and custom modules
- Optimizing DataWeave performance
API Governance and Security
- API protection via OAuth 2.0 and client credential flows
- Development of custom policies and rate limiting strategies
- Integration with external identity providers and SSO frameworks
Testing, Debugging, and Problem Resolution
- Unit testing Mule applications using MUnit
- Troubleshooting intricate flows within Anypoint Studio
- Log administration and generation of custom error reports
Deployment, Observability, and CI/CD
- Comparative analysis of CloudHub versus Runtime Fabric deployment
- Monitoring via Anypoint Monitoring and third-party tools
- Establishing CI/CD workflows with Git, Maven, and Jenkins
Wrap-Up and Future Directions
Requirements
- Core knowledge of MuleSoft fundamentals and basic flow construction
- Proficiency with Anypoint Studio and practical experience managing APIs
- Working understanding of REST, HTTP, and standard integration patterns
Target Audience
- Integration specialists crafting complex solutions with MuleSoft
- Developers aiming to elevate their MuleSoft expertise beyond entry-level skills
- Architects and consultants shaping enterprise-level integration frameworks
21 Hours
Testimonials (1)
Good insight in defining an API, deploying and running an API.
