How does the Saga pattern work within this skill?

It provides a method for managing distributed transactions by defining compensating actions that run in reverse order if a step in the workflow fails.

Does this skill cover error handling?

Yes, it includes detailed strategies for retry policies, activity heartbeats, and identifying non-retryable business errors.

When should I use workflow orchestration instead of standard APIs?

Use orchestration for multi-step processes spanning different services, long-running tasks, or processes requiring automatic failure recovery and state persistence.

What is the primary purpose of this skill?

This skill provides design patterns and best practices for building durable, fault-tolerant distributed systems using workflow orchestration engines like Temporal.

Why is the distinction between Workflows and Activities important?

Workflows must be deterministic to allow for state replaying, while Activities handle non-deterministic external interactions like API calls or database writes.

Workflow Orchestration Patterns

Name: Workflow Orchestration Patterns
Author: Microck

byMicrock

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배포 및 DevOps

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

소개

This skill provides specialized architectural guidance for designing resilient distributed systems using Temporal. It helps developers master the critical separation between deterministic workflow orchestration and non-deterministic activities, ensuring system consistency across long-lived processes. By implementing patterns like Saga for distributed transactions and Entity workflows for state management, it enables the creation of robust applications capable of surviving infrastructure failures and managing complex business logic over extended periods.

주요 기능

Advanced retry and resilience policy configuration
89 GitHub stars
Temporal architecture design patterns
Deterministic workflow logic constraints
Idempotent activity development guidelines
Saga pattern implementation for distributed transactions

사용 사례

Managing complex entity lifecycles and state persistence in microservice environments
Designing multi-step distributed transactions with automated rollback capabilities
Orchestrating long-running business processes like order fulfillment and user onboarding

소개

주요 기능

Advanced retry and resilience policy configuration
89 GitHub stars
Temporal architecture design patterns
Deterministic workflow logic constraints
Idempotent activity development guidelines
Saga pattern implementation for distributed transactions

사용 사례

Managing complex entity lifecycles and state persistence in microservice environments
Designing multi-step distributed transactions with automated rollback capabilities
Orchestrating long-running business processes like order fulfillment and user onboarding