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For Operators

This guide provides operational instructions and best practices for managing a HySDS (Hybrid Cloud Science Data Processing System) deployment. HySDS is designed for large-scale Earth Science data processing, capable of handling over 300TB/day of data processing and scaling to 8,000+ parallel nodes.

System Components​

Core Services​

GRQ (Geo Region Query)​

  • Purpose: Geospatial data management and catalog
  • Key Functions:
    • Faceted search for data products
    • Production rules evaluation
    • Data product tracking
  • Monitoring Requirements:
    • ElasticSearch/OpenSearch cluster health
    • Storage capacity
    • Search response times

Mozart​

  • Purpose: Job management system
  • Key Functions:
    • Job queue management
    • Production rules processing
    • Worker coordination
  • Monitoring Requirements:
    • Queue depths
    • Job states
    • Worker health

Metrics​

  • Purpose: Runtime analytics
  • Key Functions:
    • Real-time job metrics
    • Worker performance tracking
    • System health monitoring
  • Monitoring Requirements:
    • Dashboard availability
    • Metrics collection rate
    • Storage capacity

Factotum​

  • Purpose: "Hot" helper workers management
  • Key Functions:
    • Maintains ready workers
    • Handles low-latency processes
  • Monitoring Requirements:
    • Worker availability
    • Process response times

Daily Operations​

System Health Checks​

  1. Service Status Verification

    • Check all core services are running
    • Verify ElasticSearch/OpenSearch cluster health
    • Monitor Redis and RabbitMQ status
    • Check worker node availability

  2. Queue Management

    • Monitor queue depths
    • Check for stuck jobs
    • Verify auto-scaling response
    • Review job distribution

  3. Storage Management

    • Monitor disk usage
    • Check data product storage
    • Verify cleanup processes
    • Review archive status

Auto-Scaling Management​

Scale-Up Monitoring​

  • Watch queue backlog metrics
  • Verify worker deployment
  • Monitor resource availability
  • Check scaling triggers

Scale-Down Checks​

  • Monitor idle workers
  • Verify graceful termination
  • Check resource release
  • Review cost optimization

Job Management​

Job Monitoring​

  1. Check job status distribution
  2. Review failed jobs
  3. Monitor processing rates
  4. Track resource utilization

Job Recovery Procedures​

  1. Identify failure cause
  2. Clear stuck jobs if necessary
  3. Restart failed processes
  4. Verify recovery success

Troubleshooting Guide​

Common Issues and Resolution​

Queue Buildup​

  1. Check worker availability
  2. Verify auto-scaling function
  3. Review resource constraints
  4. Check for stuck jobs

Worker Issues​

  1. Verify network connectivity
  2. Check resource availability
  3. Review container health
  4. Monitor log outputs

Data Processing Problems​

  1. Verify input data availability
  2. Check storage capacity
  3. Review processing logs
  4. Monitor output generation

Emergency Procedures​

System Failure Recovery​

  1. Service restoration order
  2. Data consistency checks
  3. Job queue recovery
  4. Worker redeployment

Resource Exhaustion Response​

  1. Emergency scaling procedures
  2. Storage management
  3. Queue prioritization
  4. Resource reallocation

Performance Monitoring​

Key Metrics​

System Metrics​

  • CPU utilization
  • Memory usage
  • Network throughput
  • Storage I/O

Job Metrics​

  • Processing rates
  • Success/failure ratios
  • Queue wait times
  • Resource utilization

Optimization​

Resource Management​

  • Worker distribution
  • Queue balancing
  • Storage optimization
  • Network usage

Security Operations​

Access Control​

  • User authentication
  • Permission management
  • API access control
  • Resource restrictions

Security Monitoring​

  • Access log review
  • Security event monitoring
  • Credential management
  • Network security

Maintenance Procedures​

Routine Maintenance​

Daily Tasks​

  • Log rotation
  • Storage cleanup
  • Queue monitoring
  • Performance checks

Weekly Tasks​

  • System updates
  • Resource optimization
  • Long-running job review
  • Backup verification

System Updates​

Update Procedures​

  1. Service backup
  2. Update planning
  3. Implementation steps
  4. Verification process

Rollback Procedures​

  1. Failure identification
  2. Recovery initiation
  3. Service restoration
  4. Verification steps

Disaster Recovery​

Backup Management​

  • Data backup procedures
  • Configuration backup
  • Recovery point objectives
  • Recovery time objectives

Recovery Procedures​

  1. System assessment
  2. Service restoration
  3. Data recovery
  4. Verification steps

Cost Management​

Monitoring​

  • Resource usage tracking
  • Cost allocation
  • Usage optimization
  • Budget alignment

Optimization Strategies​

  1. Resource scaling
  2. Storage management
  3. Network optimization
  4. Workload distribution

Documentation and Reporting​

Required Documentation​

  • Incident reports
  • Performance metrics
  • System changes
  • Security events

Regular Reports​

  • System performance
  • Resource utilization
  • Cost analysis
  • Processing statistics

Contact Information​

Support Escalation​

  1. First-level support
  2. System administrators
  3. Development team
  4. Project management

Community Resources​

  • Slack channels
  • Wiki documentation
  • Issue tracking
  • Community forums

Best Practices​

Operational Excellence​

  1. Proactive monitoring
  2. Regular maintenance
  3. Documentation updates
  4. Performance optimization

Risk Management​

  1. Change control
  2. Security monitoring
  3. Resource planning
  4. Disaster preparation

Remember to consult the community wiki for detailed procedures and updates. For system-specific configurations and requirements, refer to your organization's internal documentation.