How does the Saga pattern handle failures in distributed systems?

The Saga pattern implements compensation logic for every step. If a process fails mid-way, the workflow automatically triggers compensating actions in reverse order to return the system to a consistent state.

Why is determinism critical for Temporal workflows?

Temporal recovers state by replaying workflow code. If the code produces different results on replay (due to random numbers, system time, or direct API calls), the workflow history will mismatch and fail.

Can this skill help with human-in-the-loop processes?

Yes, it covers async callback patterns and signaling, which allow workflows to pause indefinitely for human intervention or external webhooks and resume exactly where they left off.

What is the primary difference between a Workflow and an Activity in Temporal?

Workflows contain the 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.

Temporal Workflow Orchestration Patterns

Name: Temporal Workflow Orchestration Patterns
Author: Microck

byMicrock

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111

API 개발

Designs durable, resilient distributed workflows using Temporal to orchestrate complex microservice transactions and long-running processes.

소개

This skill provides comprehensive guidance on architecting robust distributed systems using Temporal, focusing on the critical separation between orchestration logic (Workflows) and external interactions (Activities). It empowers developers to implement complex patterns like Sagas for distributed transactions, entity-based actor models, and parallel fan-out/fan-in operations while adhering to strict determinism and idempotency constraints. Whether you are building financial systems, order processing pipelines, or infrastructure automation, this skill ensures your processes are durable, scalable, and recoverable from any point of failure.

주요 기능

Architectural blueprints for separating deterministic Workflows from non-deterministic Activities
111 GitHub stars
Implementation guidance for the Saga pattern with automated compensating actions
Comprehensive checklists for maintaining workflow determinism and activity idempotency
Best practices for automatic state preservation and failure recovery
Scalable patterns for parallel execution using fan-out/fan-in strategies

사용 사례

Managing long-running business processes like multi-stage order fulfillment or user onboarding
Building distributed transaction systems with reliable rollback capabilities using Sagas
Automating complex infrastructure deployments and human-in-the-loop approval pipelines

소개

주요 기능

Architectural blueprints for separating deterministic Workflows from non-deterministic Activities
111 GitHub stars
Implementation guidance for the Saga pattern with automated compensating actions
Comprehensive checklists for maintaining workflow determinism and activity idempotency
Best practices for automatic state preservation and failure recovery
Scalable patterns for parallel execution using fan-out/fan-in strategies

사용 사례

Managing long-running business processes like multi-stage order fulfillment or user onboarding
Building distributed transaction systems with reliable rollback capabilities using Sagas
Automating complex infrastructure deployments and human-in-the-loop approval pipelines