Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Mastra Workflow Architecture and Core Concepts
- Exploring workflow primitives and underlying orchestration layers.
- Examining communication models between agents and workflows.
- Applying design patterns specific to automation-centric systems.
Environment Setup for Workflow Automation
- Configuring workflow engines and their supporting services.
- Handling environment variables, secrets, and system configurations.
- Preparing clusters for efficient workflow execution and agent coordination.
Constructing Multi-Agent Workflows
- Linking tasks sequentially across multiple agents.
- Establishing dependencies and defining coordination rules.
- Managing workflow timeouts and addressing edge cases.
Parallelization and Performance Strategies
- Architecting workflows to support high concurrency.
- Distributing workloads effectively among agents in a distributed environment.
- Implementing parallel execution and fan-out patterns for optimal performance.
Observability and Troubleshooting in Multi-Agent Workflows
- Tracing workflow execution paths across various systems.
- Incorporating Grafana dashboards and log analysis for insights.
- Diagnosing agent interactions and resolving orchestration failures.
Automation Optimization and Reliability Engineering
- Detecting and addressing bottlenecks in workflow execution.
- Enhancing system reliability through retries, fallback strategies, and state management.
- Refining orchestration logic to achieve predictable automation outcomes.
Integration with Enterprise Systems and Data Flows
- Connecting workflows to external APIs, services, and event streams.
- Coordinating agents operating across heterogeneous environments.
- Aligning technical workflows with broader business automation requirements.
Advanced Orchestration Patterns for Multi-Agent Systems
- Implementing supervisory agent patterns.
- Designing long-running and human-in-the-loop workflows.
- Evaluating the trade-offs between choreography and centralized orchestration.
Conclusion and Next Steps
Requirements
- A solid grasp of core workflow and automation principles.
- Practical experience in deploying containerized applications.
- Comfort with API-driven system integration methods.
Intended Audience
- Automation engineers.
- Business process developers.
- Teams developing multi-agent task automation systems.