AngusTester Deployment Solution Guide
AngusTester offers multiple deployment methods to meet the needs of different scales and usage scenarios.
Deployment Solution Comparison
| Feature | Standalone Deployment | Cluster Deployment | Docker Compose | Kubernetes |
|---|---|---|---|---|
| Deployment Complexity | ★☆☆☆☆ (Very Simple) | ★★★☆☆ (Moderate) | ★★☆☆☆ (Simple) | ★★★★☆ (Complex) |
| Resource Requirements | Lowest | Higher | Moderate | High |
| Scalability | Not Scalable | Manual Scaling | Limited Scaling | Auto-scaling |
| High Availability | Single Point Risk | Failover | Host-dependent | Auto-recovery |
| Use Case | Personal/Testing | Mid-sized Business | Mid-sized Business | Cloud-native Production |
Detailed Deployment Solutions
Standalone Deployment
Best for: Individual developers or small team testing environments
Deployment Features: All components run on a single server
Key Advantages:
- ⚡ 5-minute quick deployment
- 💻 Minimal hardware requirements (2-core CPU/4GB RAM)
- 📦 All-in-one installation package
Use Cases:
- Personal learning and testing
- Small project validation
- Feature demo environments
Cluster Deployment
Best for: Medium to large enterprise production environments
Deployment Features: Components distributed across multiple servers
Key Advantages:
- 🔁 High-availability architecture (automatic failover)
- 📈 Linear scalability
- ⚖️ Load balancing
Use Cases:
- Teams of 50+ collaborators
- High-concurrency business scenarios
- Mission-critical systems
Docker Compose Deployment
Best for: Containerized development and testing environments
Deployment Features: One-click container-based deployment
Key Advantages:
- 🔄 Ensured environment consistency
- 📦 Automatic dependency management
- 🚢 Quick migration capability
Use Cases:
- Development testing pipelines
- Continuous integration environments
- Rapid prototype validation
Kubernetes Integration Deployment (Planned)
Best for: Cloud-native production environments
Deployment Features: Automated operations based on K8s
Key Advantages:
- ⚖️ Auto-scaling
- 🔄 Zero-downtime rolling updates
- 🛡️ Self-healing (automatic failure recovery)
- 🌐 Service mesh integration
Use Cases:
- Microservices architecture systems
- Large-scale distributed applications
- Hybrid cloud environments
- Auto-scaling requirement scenarios