Circuit Breaker Architecture

Overview

Tasker implements circuit breaker functionality through its distributed, SQL-driven retry architecture rather than through traditional in-memory circuit breaker objects. This approach provides better durability, observability, and coordination across multiple worker processes.

Why Circuit Breaker Patterns Matter

Circuit breakers prevent cascading failures by:

  • Failing fast when services are unavailable

  • Backing off to reduce load on failing services

  • Automatically recovering when services become healthy

  • Providing observability into failure patterns

How Tasker Implements Circuit Breaker Logic

1. Fail-Fast Through Step State Management

# Tasker automatically fails fast through step state transitions
step.current_state  # 'pending' β†’ 'in_progress' β†’ 'complete' | 'error'

# Failed steps are immediately marked as 'error' state
# No further processing attempts until retry conditions are met

2. Intelligent Backoff (The "Open Circuit" State)

Benefits over traditional circuit breakers:

  • Persistent across restarts - State stored in database, not memory

  • Distributed coordination - Multiple workers respect the same backoff timing

  • Configurable per step - Different services can have different backoff strategies

  • Observable through SQL - Easy to query and monitor backoff states

3. Automatic Recovery (The "Half-Open" State)

4. Error Classification with RetryableError vs PermanentError

Comparison: Traditional vs Tasker Circuit Breaker

Aspect
Traditional Circuit Breaker
Tasker's Architecture

State Storage

In-memory (volatile)

Database (persistent)

Coordination

Per-process

Distributed across workers

Observability

Custom metrics

SQL queries + structured logging

Recovery

Time-based

Intelligent backoff + dependency-aware

Configuration

Global per service

Per-step + per-task customization

Failure Classification

Binary (fail/success)

Typed errors (RetryableError, PermanentError)

Key Components

1. SQL Functions for Circuit Logic

  • get_step_readiness_status() - Determines if steps are ready for execution

  • Backoff calculation - Exponential backoff with jitter and caps

  • Dependency resolution - Ensures proper execution order

2. Orchestration Components

3. Error Handling Hierarchy

Circuit States in Tasker Terms

Circuit Breaker State
Tasker Equivalent
Condition

Closed (healthy)

ready_for_execution = true

No recent failures, dependencies satisfied

Open (failing fast)

retry_eligible = false

Within backoff period or max retries exceeded

Half-Open (testing)

retry_eligible = true

Backoff period expired, ready for retry attempt

Monitoring and Observability

SQL Queries for Circuit State

Structured Logging Events

Best Practices

1. Use Typed Errors in API Handlers

2. Configure Appropriate Retry Limits

3. Monitor Circuit Health

Why This Architecture is Superior

  1. Durability - Circuit state survives process restarts and deployments

  2. Distributed Coordination - Multiple workers coordinate through database state

  3. Granular Control - Different APIs can have different backoff strategies

  4. Built-in Observability - Rich SQL queries and structured logging

  5. Dependency Awareness - Circuit decisions consider workflow dependencies

  6. Type Safety - Explicit error classification prevents retry of permanent failures

Conclusion

Tasker's architecture already implements sophisticated circuit breaker patterns through its SQL-driven, distributed retry system. This approach provides better durability, observability, and coordination than traditional in-memory circuit breakers, while maintaining the same core benefits of failing fast, backing off intelligently, and recovering automatically.

The key insight is that persistence + distributed coordination > in-memory circuit objects for workflow orchestration systems.

Real-World Example

For a practical demonstration of these patterns in action, see Chapter 3: Microservices Coordination, which shows how to apply Tasker's circuit breaker architecture to coordinate user registration across multiple services.

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