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Duration 21 hours
Course Outline
Mastra Workflow Architecture and Fundamental Concepts
- Exploring workflow primitives and orchestration layers.
- Models for communication between agents and workflows.
- Establishing design patterns for automation-focused systems.
Setting Up the Environment for Workflow Automation
- Configuring workflow engines and essential supporting services.
- Managing environment variables, secrets, and system configurations.
- Preparing clusters for efficient workflow execution and agent coordination.
Constructing Multi-Agent Workflows
- Linking tasks across multiple agents.
- Defining dependencies and coordination rules.
- Managing workflow timeouts and addressing edge cases.
Strategies for Parallelization and Performance
- Creating workflows optimized for high concurrency.
- Distributing workloads across decentralized agents.
- Applying parallel execution and fan-out patterns.
Observability and Troubleshooting for Multi-Agent Workflows
- Tracking workflow execution across various systems.
- Integrating Grafana dashboards and log analytics.
- Diagnosing agent interactions and resolving orchestration failures.
Optimizing Automation and Reliability Engineering
- Detecting bottlenecks in workflow processing.
- Enhancing reliability through retries, fallback strategies, and state management.
- Refining orchestration to achieve consistent and predictable automation results.
Integration with Enterprise Systems and Data Pipelines
- Linking workflows to APIs, services, and event streams.
- Coordinating agents across diverse and heterogeneous environments.
- Aligning workflows with specific business automation needs.
Advanced Orchestration Patterns for Multi-Agent Systems
- Implementing supervisory agent patterns.
- Managing long-running and human-in-the-loop workflows.
- Evaluating the trade-offs between choreography and orchestration.
Conclusion and Path Forward
Requirements
- A solid grasp of workflow and automation principles.
- Hands-on experience with deploying containerized applications.
- Proficiency in API-driven system integration.
Target Audience
- Automation engineers.
- Business process developers.
- Teams developing task automation systems utilizing multiple agents.