What is the main difference between a Workflow and an Activity?

Workflows handle orchestration and decision logic and must be deterministic, while Activities handle external interactions like API calls or database writes and can be non-deterministic.

Why is determinism strictly required in Temporal workflows?

Determinism is critical because it allows the workflow engine to replay the event history and reconstruct the exact state of the process after a worker failure or service restart.

How do I handle external API calls in a Temporal workflow?

External API calls should never be made directly inside a workflow; they must be wrapped in Activities to ensure the workflow remains deterministic and can handle retries effectively.

When should I use the Saga pattern in my architecture?

Use the Saga pattern when you need to implement distributed transactions that require compensation (rollbacks) across multiple independent services or databases to maintain consistency.

Workflow Orchestration Patterns

Name: Workflow Orchestration Patterns
Author: Microck

byMicrock

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Desarrollo de API

Architect durable, resilient distributed systems using Temporal workflow orchestration and reliability patterns.

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This skill provides comprehensive guidance on architecting distributed systems with Temporal, focusing on the critical separation between orchestration logic (Workflows) and execution logic (Activities). It equips developers with patterns for implementing the Saga pattern for distributed transactions, entity-based workflows, and parallel execution, ensuring that long-running processes remain deterministic and resilient to infrastructure failures. By providing clear boundaries and implementation strategies, it helps teams build systems that automatically preserve state and recover gracefully from service interruptions.

Características Principales

Guidance on Workflow vs. Activity separation to maintain system determinism
81 GitHub stars
Comprehensive state management and recovery strategies for long-running processes
Scalable parallel execution patterns including Fan-out/Fan-in strategies
Implementation of the Saga pattern for distributed transactions with automated compensation logic
Best practices for activity idempotency, versioning, and exponential backoff error handling

Casos de Uso

Building complex multi-step e-commerce payment systems with rollback capabilities
Managing entity lifecycles for account management or real-time inventory tracking in microservices
Orchestrating long-running infrastructure deployments and CI/CD pipelines across hybrid clouds

Acerca de

Características Principales

Guidance on Workflow vs. Activity separation to maintain system determinism
81 GitHub stars
Comprehensive state management and recovery strategies for long-running processes
Scalable parallel execution patterns including Fan-out/Fan-in strategies
Implementation of the Saga pattern for distributed transactions with automated compensation logic
Best practices for activity idempotency, versioning, and exponential backoff error handling

Casos de Uso

Building complex multi-step e-commerce payment systems with rollback capabilities
Managing entity lifecycles for account management or real-time inventory tracking in microservices
Orchestrating long-running infrastructure deployments and CI/CD pipelines across hybrid clouds