Why is determinism strictly required in Temporal workflows?

Temporal uses event sourcing to replay workflows to their current state. If the code is non-deterministic (e.g., using random numbers or system time), the replay will produce different results than the original execution, causing a failure.

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

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

When should I avoid using workflow orchestration?

Orchestration is overkill for simple CRUD operations, stateless request/response APIs, or real-time streaming where low-latency is prioritized over guaranteed state persistence.

How does the Saga pattern help with distributed transactions?

The Saga pattern manages multi-step processes by registering compensating actions for every step, allowing the system to roll back gracefully if a failure occurs during execution.

Workflow Orchestration Patterns

Name: Workflow Orchestration Patterns
Author: 3commas-io

by3commas-io

云基础设施

Designs durable, distributed workflows using Temporal principles to ensure resilience and consistency across microservices.

关于

This skill empowers developers to architect reliable distributed systems using Temporal's workflow orchestration patterns. It provides expert guidance on separating orchestration logic (workflows) from side-effect-prone tasks (activities), implementing the Saga pattern for distributed transactions, and ensuring execution determinism. Whether building complex order fulfillment pipelines, long-running business processes, or infrastructure automation, this skill provides the implementation patterns needed to ensure your system maintains state integrity and recovers gracefully from infrastructure failures.

主要功能

0 GitHub stars
Architectural guidance on Workflow vs. Activity separation rules
Deterministic code design patterns to prevent workflow replay errors
Implementation of the Saga pattern for distributed transactions with compensation logic
Strategies for entity workflows and parallel fan-out/fan-in execution
Best practices for activity idempotency and complex retry policies

使用场景

Designing a multi-step e-commerce checkout system with automatic rollbacks
Orchestrating complex infrastructure provisioning across multiple cloud providers
Managing long-lived user subscription lifecycles and recurring billing cycles

关于

主要功能

0 GitHub stars
Architectural guidance on Workflow vs. Activity separation rules
Deterministic code design patterns to prevent workflow replay errors
Implementation of the Saga pattern for distributed transactions with compensation logic
Strategies for entity workflows and parallel fan-out/fan-in execution
Best practices for activity idempotency and complex retry policies

使用场景

Designing a multi-step e-commerce checkout system with automatic rollbacks
Orchestrating complex infrastructure provisioning across multiple cloud providers
Managing long-lived user subscription lifecycles and recurring billing cycles