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Duration 21 hours
Course Outline
Mastra Workflow Architecture and Core Principles
- Exploring workflow primitives and orchestration layers
- Models for agent-to-workflow communication
- Design patterns suited for automation-centric systems
Preparing the Environment for Workflow Automation
- Configuring workflow engines and supporting services
- Managing environment variables, secrets, and configuration files
- Preparing clusters for workflow execution and agent coordination
Constructing Multi-Agent Workflows
- Linking tasks across multiple agents
- Establishing dependencies and coordination rules
- Managing workflow timeouts and handling edge cases
Parallelization and Performance Optimization
- Designing workflows to support high concurrency
- Distributing workloads efficiently across distributed agents
- Implementing parallel execution and fan-out patterns
Observability and Troubleshooting Multi-Agent Workflows
- Tracing workflow execution paths across systems
- Integrating dashboards with Grafana and logging services
- Diagnosing agent interactions and orchestration failures
Automation Optimization and Reliability Engineering
- Identifying performance bottlenecks in workflow execution
- Enhancing reliability through retries, fallback strategies, and state management
- Refining orchestration logic to ensure predictable automation results
Integration with Enterprise Systems and Data Streams
- Linking workflows to APIs, services, and event streams
- Coordinating agents across diverse environments
- Aligning workflows with specific business automation needs
Advanced Orchestration Patterns for Multi-Agent Systems
- Supervisory agent patterns
- Long-running and human-in-the-loop workflows
- Evaluating the trade-offs between choreography and orchestration
Summary and Next Steps
Requirements
- A solid grasp of workflow and automation principles
- Hands-on experience deploying containerized applications
- Proficiency in API-driven system integration
Target Audience
- Automation engineers
- Business process developers
- Teams developing multi-agent task automation systems
