Why is determinism important in Temporal workflows?

Determinism ensures that when a workflow engine replays the event history after a failure, the code produces the exact same sequence of commands, allowing the system to restore state without data loss.

When should I avoid using workflow orchestration?

Workflow orchestration is often overkill for simple CRUD operations, pure data processing pipelines like Airflow, stateless request/response APIs, or real-time streaming needs.

What is the difference between a Workflow and an Activity?

Workflows handle the orchestration logic and decision-making and must be deterministic. Activities handle external interactions like API calls, database writes, and network requests, and can be non-deterministic.

How does the Saga pattern help in distributed systems?

The Saga pattern manages distributed transactions by registering compensation actions for every successful step; if a failure occurs, it executes those compensations in reverse order to ensure consistency across services.

Workflow Orchestration Patterns

Name: Workflow Orchestration Patterns
Author: wshobson

bywshobson

•

23,194

API 开发

Implements durable, distributed workflows using Temporal to manage complex microservice orchestration and long-running processes.

关于

This skill enables Claude to architect and implement robust distributed systems using Temporal's workflow orchestration patterns. It provides expert guidance on separating orchestration logic (Workflows) from side-effect-prone operations (Activities), implementing resilient Saga patterns for distributed transactions, and maintaining strict determinism in long-running processes. It is particularly useful when building fault-tolerant systems like payment pipelines, order management workflows, or complex infrastructure automation that requires automatic state persistence and failure recovery.

主要功能

Distributed Saga pattern implementation with compensation logic
State management and determinism enforcement for long-running processes
Scalable orchestration patterns including Fan-out/Fan-in and Entity Workflows
Resilience planning through retry policies and activity heartbeats
23,194 GitHub stars
Temporal Workflow and Activity design separation

使用场景

Designing long-lived business processes like account onboarding or loan approvals
Architecting a multi-step e-commerce checkout with automatic rollback capabilities
Building fault-tolerant CI/CD pipelines or cloud infrastructure provisioning

关于

主要功能

Distributed Saga pattern implementation with compensation logic
State management and determinism enforcement for long-running processes
Scalable orchestration patterns including Fan-out/Fan-in and Entity Workflows
Resilience planning through retry policies and activity heartbeats
23,194 GitHub stars
Temporal Workflow and Activity design separation

使用场景

Designing long-lived business processes like account onboarding or loan approvals
Architecting a multi-step e-commerce checkout with automatic rollback capabilities
Building fault-tolerant CI/CD pipelines or cloud infrastructure provisioning