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High Availability Deployment

GeniSpace employs a microservices architecture design, deployed on Kubernetes clusters for containerized operation, supporting automatic elastic scaling to ensure system high availability and scalability. Through multi-node deployment, automatic service discovery, and load balancing, the system can operate continuously and stably, maintaining service availability even when some nodes fail.

System Architecture​

GeniSpace's microservices architecture consists of multiple core services, each independently deployed and scaled. This design ensures the system's high availability and maintainability:

  • Worker Service: Serves as the task execution engine, responsible for processing all AI task executions. Supports automatic elastic scaling, adjusting the number of service instances automatically based on task load to ensure timely and stable task processing.

  • Dataset Service: Responsible for dataset management and processing, supporting distributed storage and data sharding, efficiently handling large-scale datasets, and providing data support for model training and task execution.

  • API Service: Serves as the system's interface gateway, uniformly managing all external requests, providing load balancing and request routing to ensure stable service access.

  • Agent Service: Serves as the AI agent management service, responsible for managing and scheduling various AI agents. Supports dynamic creation, updating, and destruction of agents, ensuring continuous availability of agent services. Through distributed deployment and state synchronization mechanisms, it achieves high-availability operation of agents.

High Availability Features​

Worker Service Elastic Scaling​

The Worker service employs an automatic elastic scaling mechanism that adjusts the number of service instances based on system load:

  • When CPU usage exceeds the threshold (default 70%), the system automatically adds Worker instances
  • When memory usage exceeds the threshold (default 80%), the system automatically adds Worker instances
  • When the task queue length exceeds the threshold, the system automatically adds Worker instances
  • Supports custom scaling metrics, allowing you to set specific scaling conditions based on business needs

Scaling strategy configuration example:

autoscaling:
  minReplicas: 2
  maxReplicas: 10
  scaleUpStep: 2
  scaleDownStep: 1
  cooldownPeriod: 300

Dataset Service High Availability​

The Dataset service employs a distributed architecture to ensure data high availability and reliability:

  • Data is stored with multiple replicas to prevent data loss due to single-point failures
  • Supports automatic data backup and recovery with regular data snapshots
  • Uses distributed caching mechanisms to improve data access performance
  • Supports data sharding storage to improve large-scale data processing efficiency

Agent Service High Availability​

The Agent service uses a distributed architecture design to ensure continuous agent service availability:

  • Agent State Management

    • Uses distributed state storage to ensure agent state consistency
    • Supports real-time synchronization and backup of agent states
    • Provides agent state recovery mechanisms for fast recovery after service interruptions

  • Agent Scheduling Mechanism

    • Supports dynamic load balancing for agents
    • Implements automatic scaling of agent instances
    • Provides agent task queue management to ensure reliable task processing

  • Agent Monitoring and Recovery

    • Real-time monitoring of agent operating status
    • Supports automatic recovery from agent anomalies
    • Provides agent performance metrics monitoring
    • Implements dynamic scheduling of agent resources

Task Processing Capabilities​

The system supports high-concurrency task processing through the following mechanisms to ensure reliability:

  • Task queues use a distributed design, supporting task priority management
  • Supports task timeout control and automatic retry mechanisms
  • Employs intelligent load balancing to ensure even task distribution across Worker instances
  • Supports real-time monitoring and exception handling of task execution status

Deployment Architecture​

The system uses Kubernetes cluster deployment to ensure high service availability:

  • Control plane uses a 3-node deployment to ensure cluster management high availability
  • Worker nodes support dynamic expansion, adding nodes as business needs grow
  • Uses service mesh technology for reliable inter-service communication
  • Supports multi-availability-zone deployment to improve disaster recovery capabilities

Monitoring and Alerting​

The system provides comprehensive monitoring and alerting mechanisms to ensure timely problem detection and resolution:

  • Real-time monitoring of system resource usage, including CPU, memory, disk, and network
  • Monitoring of service health status, including service response time, error rates, and other metrics
  • Supports multiple alert notification methods, including email, SMS, and enterprise messaging
  • Provides detailed monitoring data analysis and trend reports

Disaster Recovery Plan​

The system provides comprehensive disaster recovery solutions to ensure data and service security:

  • Supports scheduled and real-time data backup
  • Provides data recovery mechanisms for rapid service restoration
  • Regular disaster recovery drills to ensure the effectiveness of disaster recovery plans
  • Supports cross-region data backup to improve data security

Performance Optimization​

The system provides multiple performance optimization solutions to ensure efficient service operation:

  • Supports service configuration optimization, including JVM parameter tuning, thread pool configuration, etc.
  • Provides database optimization recommendations, including index optimization, query optimization, etc.
  • Supports code-level optimization, including algorithm optimization, concurrency optimization, etc.
  • Provides system-level optimization recommendations, including resource allocation, network configuration, etc.

Through these features, the GeniSpace system delivers stable and reliable services that meet enterprise-level high availability requirements. Whether handling high-concurrency tasks or managing large-scale datasets, the system maintains efficient operation and ensures business continuity.