Duration 3 days – 21 hrs
Overview
The MuleSoft Advanced Integration Techniques Training Course is designed for experienced MuleSoft developers, integration specialists, and architects who want to master the design, deployment, and optimization of complex MuleSoft solutions. Participants will explore advanced concepts such as error handling, batch processing, advanced DataWeave transformations, API security, and CI/CD pipeline implementation.
Objectives
- Design and implement advanced Mule flows with robust error handling and transaction management.
- Optimize batch processing for high-volume data and parallelism.
- Apply advanced DataWeave techniques for complex transformations and performance tuning.
- Secure APIs using OAuth 2.0, custom security policies, and SSO integrations.
- Test, debug, and troubleshoot Mule applications using MUnit and Anypoint tools.
- Deploy and monitor applications on CloudHub, Runtime Fabric, and hybrid environments.
- Implement CI/CD pipelines with Git, Jenkins, and Maven for MuleSoft projects
Audience
- Integration Specialists working on complex enterprise-grade solutions.
- Developers who already know MuleSoft fundamentals and want to deepen their skills.
- Solution Architects & Consultants designing MuleSoft-based integration architectures.
Prerequisites
- Proficiency in MuleSoft fundamentals (Anypoint Studio, API basics, and flow development).
- Experience working with REST, HTTP, and integration patterns.
- Prior completion of a MuleSoft Fundamentals course (or equivalent experience).
Course Content
Day 1: Advanced MuleSoft Architecture & Flow Design
- Enterprise Integration Patterns in MuleSoft
- Runtime Options (CloudHub, On-Prem, Runtime Fabric)
- Designing Modular & Reusable Applications
- Advanced Flow Control and Message Routing
- Error Handling Strategies: Try, Catch, Rollback Scopes
- Transaction Management and Reconnection Strategies
- Lab: Designing Complex Flows with Error Handling
Day 2: Batch Processing, DataWeave & API Security
- Batch Job Phases and Record-Level Error Handling
- Parallel Processing and Streaming for High-Volume Data
- Use Cases for Large Data Ingestion
- Advanced DataWeave: Pattern Matching & Functional Programming
- Custom Modules, Pipelines, and Performance Tuning
- Securing APIs with OAuth 2.0 & Client Credentials
- Implementing Custom Policies, Throttling, and SSO with Identity Providers
- Lab: Building an Advanced Batch Job & Securing an API
Day 3: Testing, Deployment, Monitoring & CI/CD
- Unit Testing with MUnit Framework
- Debugging Complex Flows in Anypoint Studio
- Log Management and Custom Error Reports
- Deployment Options: CloudHub vs Runtime Fabric
- Monitoring with Anypoint Monitoring and External Tools
- CI/CD Pipelines: Git, Jenkins, Maven, Automated Deployments
- Lab: End-to-End CI/CD Pipeline Setup for a Mule Project
- Course Summary, Review, and Next Steps
