技能版本 1.0.0
workflow-orchestration-patterns
Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.
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技能说明
- 名称
- workflow-orchestration-patterns
- 说明
- Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.
仅指令
技能包内没有脚本文件:这个技能是供模型阅读的文本。
SKILL.md 节选
# Workflow Orchestration Patterns Master workflow orchestration architecture with Temporal, covering fundamental design decisions, resilience patterns, and best practices for building reliable distributed systems. ## When to Use Workflow Orchestration ### Ideal Use Cases (Source: docs.temporal.io) - **Multi-step processes** spanning machines/services/databases - **Distributed transactions** requiring all-or-nothing semantics - **Long-running workflows** (hours to years) with automatic state persistence - **Failure recovery** that must resume from last successful step - **Business processes**: bookings, orders, campaigns, approvals - **Entity lifecycle management**: inventory tracking, account management, cart workflows - **Infrastructure automation**: CI/CD pipelines, provisioning, deployments - **Human-in-the-loop** systems requiring timeouts and escalations ### When NOT to Use - Simple CRUD operations (use direct API calls) - Pure data processing pipelines (use Airflow, batch processing) - Stateless request/response (use standard APIs) - Real-time streaming (use Kafka, event processors) ## Critical Design Decision: Workflows vs Activities **The Fundamental Rule** (Source: temporal.io/blog/workflow-engine-principles): - **Workflows** = Orchestration logic and decision-making - **Activities** = External interactions (APIs, databases, network calls) ### Workflows (Orchestration) **Characteristics:** - Contain business logic and coordination - **MUST be deterministic** (same inputs → same outputs) - **Cannot** perform direct external calls - State automatically preserved across failures - Can run for years despite infrastructure failures **Example workflow tasks:** - Decide which steps to execute - Handle compensation logic - Manage timeouts and retries - Coordinate child workflows ### Activities (External Interactions) **Characteristics:** - Handle all external system interactions - Can be non-deterministic (API calls, DB writes) - Include built-in timeouts and retry logic - **Must be idempotent** (calling N times = calling once) - Short-lived (seconds to minutes typically) **Example activity tasks:** - Call payment gateway API - Write to database - Send emails or notifications - Query external services ### Design Decision Framework ``` Does it touch external systems? → Activity Is it orchestration/decision logic? → Workflow ``` ## Core Workflow Patterns ### 1. Saga Pattern with Compensation **Purpose**: Implement distributed transactions with rollback capability **Pattern** (Source: temporal.io/blog/compensating-actions-part-of-a-complete-breakfast-with-sagas): ``` For each step: 1. Register compensation BEFORE executing 2. Execute the step (via activity) 3. On failure, run all compensations in reverse order (LIFO) ``` **Example: Payment Workflow** 1. Reserve inventory (compensation: release inventory) 2. Charge payment (compensation: refund payment) 3. Fulfill order (compensation: cancel fulfillment) **Critical Requirements:** - Compensations must be idempotent - Register compensation BEFORE executing step - Run compensations in reverse order - Handle partial failures gracefully ### 2. Entity Workflows (Actor Model) **Purpose**: Long-lived workflow representing single entity instance **Pattern** (Source: docs.temporal.io/evaluate/use-cases-design-patterns): - One workflow execution = one entity (cart, account, inventory item) - Workflow persists for entity lifetime - Receives signals for state changes - Supports queries for current state **Example Use Cases:** - Shopping cart (add items, checkout, expiration) - Bank account (deposits, withdrawals, balance checks) - Product inventory (stock updates, reservations) **Benefits:** - Encapsulates entity behavior - Guarantees consistency per entity - Natural event sourcing ### 3. Fan-Out/Fan-In (Parallel Execution) **Purpose**: Execute multiple tasks in parallel, aggregate results **Pattern:** - Spawn child workflows or parallel activities - Wait for all to complete - Aggregate results - Handle partial failures
SKILL.md 不止这些内容,安装后可阅读全文。
技能包内容
共 1 个文件,合计 8.9 KiB
- SKILL.md8.9 KiB
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