Golang Backend Development
Overview
Learn Go (Golang) backend development for building high-performance, concurrent services in the Sravz platform. This section covers Go fundamentals, WebSocket clients, Redis integration, and real-time ticker plant implementation.
What You’ll Learn
- Go Language Fundamentals: Core concepts, goroutines, channels, and concurrency
- WebSocket Clients: Real-time data streaming from financial APIs
- Redis Integration: Using Redis for inter-service communication
- Concurrent Programming: Leveraging Go’s concurrency model for scalability
- Real-time Data Processing: Building ticker plants for live market data
Key Technologies
- Go 1.20+: Modern Go with generics and improved performance
- Goroutines & Channels: Native concurrency primitives
- WebSocket Libraries: Real-time communication
- Redis Client: go-redis for data streaming
- JSON Processing: Encoding/decoding financial data
- HTTP Clients: REST API consumption
Documentation Index
- Golang Crash Course - Comprehensive Go language tutorial covering essential topics
- Golang WebSocket with Redis - Build real-time ticker plant using WebSockets and Redis Streams
Use Cases
Real-time Data Processing
- Stream live stock quotes from WebSocket APIs
- Process thousands of tickers concurrently
- Distribute data via Redis to other backend services
Backend Services
- High-throughput REST APIs
- Batch job processing
- RSS feed aggregation
- MongoDB integration for data persistence
Architecture
WebSocket API → Go Client → Redis Streams → Other Services
↓
MongoDB (persistence)
Concurrency Model
Go’s goroutines and channels make it ideal for:
- Handling thousands of concurrent WebSocket connections
- Parallel data processing pipelines
- Non-blocking I/O operations
- Efficient resource utilization
Quick Start
- Learn the Basics: Start with Golang Crash Course to understand Go fundamentals
- Build Real-time Services: Follow Golang WebSocket with Redis to create a ticker plant
Performance Benefits
- Fast Compilation: Quick build and iteration cycles
- Low Memory Footprint: Efficient goroutines vs. OS threads
- Native Concurrency: Built-in language features for parallel processing
- Static Binaries: Easy deployment with no runtime dependencies
Source Code: backend-go | Related: C++ | Rust | Redis
