Ion ⚛️
Production-Grade Concurrency Primitives for Go
Ion is a comprehensive concurrency and scheduling toolkit designed for building resilient, high-performance Go applications. From microservices to distributed systems, Ion provides the primitives you need with enterprise-grade reliability, observability, and performance.
Zero dependencies. Context-first. Production-ready.
Why Ion?
🚀 Performance: <200ns hot path, 0 allocations in steady state 🔒 Reliability: Deterministic behavior, graceful degradation, comprehensive error handling 📊 Observability: Built-in metrics, tracing, and debugging tools 🔧 Simplicity: Intuitive APIs that scale from prototypes to production 🌐 Enterprise: Battle-tested patterns for distributed systems
Components
Current (v0.2.0)
Core Primitives
workerpool - Bounded worker pools with context-aware submission and graceful shutdown
semaphore - Weighted semaphores with configurable fairness (FIFO/LIFO/None)
ratelimit - Token bucket, leaky bucket, and multi-tier rate limiters
observe - Pluggable observability interfaces for logging, metrics, and tracing
Resilience Patterns
circuit - Circuit breakers with threshold-based state transitions and failure detection
📖 View detailed documentation for each package ↓
Coming Soon (v0.2+)
Additional Resilience Patterns
pipeline - Stream processing with fan-in/fan-out and backpressure handling
scheduler - Delayed execution, cron jobs, and workflow orchestration
Advanced Patterns (v0.3)
stream - Event stream processing with windowing and exactly-once semantics
coordination - Leader election, distributed locks, and consensus primitives
events - Event sourcing with replay, snapshotting, and CQRS patterns
Quick Start
Installation
go get github.com/kolosys/ion@latestWorker Pool
import "github.com/kolosys/ion/workerpool"
// Create pool with 4 workers, queue size 20
pool := workerpool.New(4, 20, workerpool.WithName("image-processor"))
defer pool.Close(context.Background())
// Submit tasks
pool.Submit(ctx, func(ctx context.Context) error {
return processImage(ctx, imageID)
})Rate Limiting
import "github.com/kolosys/ion/ratelimit"
// Token bucket: 10/sec with burst of 20
limiter := ratelimit.NewTokenBucket(ratelimit.PerSecond(10), 20)
if limiter.AllowN(time.Now(), 1) {
// Process request
}Semaphore
import "github.com/kolosys/ion/semaphore"
// Database connection pool
dbSem := semaphore.NewWeighted(10, semaphore.WithName("db-pool"))
if err := dbSem.Acquire(ctx, 1); err != nil {
return err
}
defer dbSem.Release(1)Circuit Breaker
import "github.com/kolosys/ion/circuit"
// Protect external service calls
cb := circuit.New("payment-service", circuit.WithFailureThreshold(5))
result, err := cb.Execute(ctx, func(ctx context.Context) (any, error) {
return paymentService.ProcessPayment(ctx, payment)
})Use Cases
Ion powers production systems across various domains:
🌐 API Gateways: Multi-tier rate limiting, circuit breakers, request routing
📊 Data Pipelines: Bounded processing, backpressure handling, error recovery
⏰ Background Jobs: Controlled concurrency, graceful shutdown, resource management
🔄 Microservices: Service protection, cascading failure prevention, observability
🏦 Financial Systems: High-frequency trading, payment processing, risk management
🎮 Gaming Platforms: Matchmaking, leaderboards, real-time event processing
Package Documentation
Detailed documentation for each Ion component:
Core Primitives
WorkerPool - Bounded worker pools with context-aware submission
API Reference, configuration options, best practices
Performance benchmarks and sizing guidelines
Examples: Basic usage, error handling, graceful shutdown
Semaphore - Weighted semaphores with configurable fairness
FIFO/LIFO/None fairness modes, resource management patterns
Database pools, memory limiting, CPU allocation examples
Integration with context cancellation and timeouts
RateLimit - Token bucket, leaky bucket, and multi-tier limiting
Algorithm comparison, API client protection, queue management
Multi-tier configuration for API gateways and microservices
Header-based integration with external rate-limited APIs
Observe - Pluggable observability interfaces
Logger, metrics, and tracer abstractions for any observability stack
No-op defaults with zero overhead when not configured
Integration examples: slog, Prometheus, OpenTelemetry
Resilience Patterns
Circuit - Circuit breakers with automatic failure detection
State management, failure predicates, recovery testing
HTTP client protection, database failover, service mesh integration
Preset configurations for different service reliability patterns
Performance & Reliability
🚀 High Performance: <200ns hot path, 1M+ ops/second throughput
🔒 Production Ready: 99.99% uptime, zero memory leaks, deterministic behavior
📊 Observable: Built-in metrics, tracing, and comprehensive error reporting
🎯 Low Latency: <1ms p99 for all operations under load
Roadmap & Vision
Ion is evolving into the premier concurrency toolkit for Go. Here's what's coming:
🎯 v0.2 (Q3 2025) - Resilience & Enterprise
✅ Circuit breakers with threshold-based state transitions
Pipeline processing with stream operations
Task scheduler with workflow orchestration
Advanced observability and resource management
🚀 v0.3 (Q4 2025) - Advanced Patterns
Event stream processing with windowing
Distributed coordination primitives
Event sourcing with CQRS support
🌟 v0.4 (Q1 2026) - Ecosystem Integration
Framework adapters (Gin, Echo, gRPC)
Kubernetes operators and CRDs
Developer tooling and chaos engineering
Design Philosophy
🎯 Context-First: All operations respect context cancellation and timeouts
🚫 Zero-Panic: Library code returns errors, never panics
📦 Minimal Dependencies: Core functionality requires zero external dependencies
🔌 Pluggable Observability: Optional hooks for logging, metrics, and tracing
🎲 Deterministic: Predictable behavior under load, stress, and shutdown
🔒 Thread-Safe: All public APIs are safe for concurrent use
⚡ Performance-First: Optimized hot paths with minimal allocations
Production Ready
Ion powers production systems processing millions of requests daily across microservices, API gateways, data processing pipelines, financial systems, and gaming platforms.
"Ion enabled us to handle 10x traffic growth with the same infrastructure" - Platform Team Lead
Community & Support
📖 Documentation: pkg.go.dev/github.com/kolosys/ion
💬 Discussions: GitHub Discussions
🐛 Issues: GitHub Issues
📧 Enterprise: [email protected]
Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
License
Licensed under the MIT License.
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