App & Server Deep Dive
Master application lifecycle and production deployment patterns
Time: 45-60 minutes • Level: Advanced • Prerequisites: Essentials - App & Server
🎯 What You’ll Learn
- Application lifecycle hooks and management
- Multiple server coordination
- Graceful shutdown patterns
- Health checks and readiness probes
- Hot reload strategies
- Production monitoring and observability
- Custom listeners (FastHTTP, HTTP2, etc.)
- Zero-downtime deployment
📚 Topics
1. Application Lifecycle
Master app lifecycle management:
- Initialization hooks
- Startup sequence
- Shutdown sequence
- Cleanup and resource management
2. Multiple Server Management
Coordinate multiple servers:
- Server grouping
- Port management
- Server dependencies
- Coordinated shutdown
3. Graceful Shutdown
Handle shutdown properly:
- Request draining
- Connection cleanup
- Timeout configuration
- Signal handling
4. Health & Readiness
Implement health checks:
- Liveness probes
- Readiness probes
- Startup probes
- Custom health checks
5. Hot Reload
Update without downtime:
- Configuration reload
- Code hot swap
- Zero-downtime updates
- Canary deployments
6. Production Monitoring
Observe your application:
- Metrics collection
- Request tracing
- Error tracking
- Performance profiling
7. Custom Listeners
Use alternative HTTP servers:
- FastHTTP integration
- HTTP/2 and HTTP/3
- Unix socket listeners
- TLS configuration
8. Production Hardening
Secure and optimize:
- Rate limiting
- Request size limits
- Timeout configuration
- Resource limits
📂 Examples
All examples are in the examples/ folder:
01 - Lifecycle Hooks
Application initialization and shutdown.
02 - Multiple Servers
Coordinate multiple HTTP servers.
03 - Graceful Shutdown
Handle shutdown gracefully.
04 - Health Checks
Implement liveness and readiness probes.
05 - Production Monitoring
Metrics, tracing, and profiling.
🚀 Quick Start
# Run any example
cd docs/02-deep-dive/05-app-and-server/examples/01-lifecycle-hooks
go run main.go
# Test with provided test.http
📖 Prerequisites
Before diving in, make sure you understand:
🎯 Learning Path
- Understand lifecycle → Control app flow
- Manage servers → Coordinate multiple servers
- Shutdown gracefully → Handle termination
- Add health checks → Enable monitoring
- Monitor production → Observe behavior
- Optimize → Improve performance
- Deploy → Production best practices
💡 Key Takeaways
After completing this section:
- ✅ You’ll manage application lifecycle effectively
- ✅ You’ll coordinate multiple servers
- ✅ You’ll implement graceful shutdown
- ✅ You’ll add comprehensive health checks
- ✅ You’ll monitor production applications
- ✅ You’ll deploy with zero downtime
- ✅ You’ll harden for production
🏗️ Production Architecture
Load Balancer
|
├─► App Instance 1 (Port 8080)
│ ├─► Health: /health
│ ├─► Metrics: /metrics
│ └─► API: /api/*
│
├─► App Instance 2 (Port 8081)
│ └─► (same structure)
│
└─► App Instance N (Port 808N)
└─► (same structure)
Scalable, observable, resilient!
Coming Soon - Examples and detailed content are being prepared.
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