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AngusGM Deployment Solutions Guide

AngusGM offers multiple deployment methods to meet the needs of different scales and usage scenarios.

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Deployment Solution Comparison

FeatureStandalone DeploymentCluster DeploymentDocker ComposeKubernetes
Deployment Complexity★☆☆☆☆ (Very Simple)★★★☆☆ (Moderate)★★☆☆☆ (Simple)★★★★☆ (Complex)
Resource RequirementsLowestHighMediumVery High
ScalabilityNot ScalableManual ScalingLimited ScalingAuto-scaling
High AvailabilitySingle Point of FailureFailoverHost-dependentSelf-healing
Use CasePersonal/TestingMid-sized EnterprisesMid-sized EnterprisesCloud-native Production

Detailed Deployment Solutions

Standalone Deployment

Ideal for: Individual developers or small team test environments
Deployment Characteristics: 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 demonstration environments

Cluster Deployment

Ideal for: Mid-to-large enterprise production environments
Deployment Characteristics: 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

Ideal for: Containerized development and test environments
Deployment Characteristics: One-click container-based deployment

Key Advantages:

  • 🔄 Environment consistency guarantee
  • 📦 Automatic dependency management
  • 🚢 Rapid migration capability

Use Cases:

  • Development and testing pipelines
  • Continuous integration environments
  • Rapid prototyping

Kubernetes Integration Deployment (Planned)

Ideal for: Cloud-native production environments
Deployment Characteristics: 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

Released under the GPL-3.0 License.