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Resource Management

Learn how to effectively manage your cloud resources on the Nimbuz platform for optimal performance and cost efficiency.

Overview​

Resource management in Nimbuz involves monitoring, scaling, and optimizing various components of your application infrastructure including compute instances, databases, storage, and networking resources.

Compute Resources​

Application Instances​

Monitor and manage your application instances:

Instance Metrics

  • CPU usage and trends
  • Memory consumption
  • Network traffic
  • Disk I/O operations

Scaling Options

  • Automatic Scaling: Based on CPU, memory, or custom metrics
  • Manual Scaling: Set specific instance counts
  • Scheduled Scaling: Prepare for predictable traffic patterns

Container Management​

For containerized applications:

  • Monitor container health and performance
  • Manage container registry access
  • Configure resource limits per container
  • Set up health checks and restart policies

Database Resources​

Database Monitoring​

Track database performance:

  • Connection pool usage
  • Query performance metrics
  • Storage utilization
  • Backup status and schedules

Database Scaling​

Scale your databases as needed:

Vertical Scaling

  • Increase CPU and memory
  • Upgrade storage capacity
  • Enhanced I/O performance

Horizontal Scaling

  • Read replicas for PostgreSQL
  • Sharding for MongoDB
  • Cluster scaling for distributed databases

Backup and Recovery​

Automated backup management:

  • Daily automated backups
  • Point-in-time recovery
  • Cross-region backup replication
  • Manual backup triggers

Storage Management​

Object Storage​

Manage your object storage resources:

  • Monitor storage usage and trends
  • Set up lifecycle policies
  • Configure CDN for global distribution
  • Manage access permissions

File Systems​

For persistent storage needs:

  • Monitor disk usage across instances
  • Set up shared storage between services
  • Configure backup policies
  • Manage access permissions

Network Resources​

Load Balancers​

Optimize traffic distribution:

  • Monitor request patterns
  • Configure health checks
  • Set up SSL termination
  • Manage traffic routing rules

Custom Domains​

Domain management:

  • SSL certificate status
  • DNS propagation monitoring
  • Domain verification status
  • Traffic analytics per domain

Cost Management​

Cost Monitoring​

Track and optimize spending:

Resource Costs

  • Compute instance costs
  • Database usage charges
  • Storage and bandwidth fees
  • Additional service costs

Cost Optimization

  • Identify unused resources
  • Right-size over-provisioned instances
  • Set up budget alerts
  • Use reserved instances for predictable workloads

Budget Controls​

Set spending limits:

  • Monthly budget limits
  • Department or project budgets
  • Alert thresholds (50%, 80%, 100%)
  • Automatic resource limiting options

Performance Optimization​

Application Performance​

Monitor and improve application performance:

Key Metrics

  • Response time percentiles
  • Throughput (requests per second)
  • Error rates and types
  • User experience metrics

Optimization Strategies

  • Implement caching layers
  • Optimize database queries
  • Use CDN for static assets
  • Configure load balancing

Infrastructure Optimization​

Optimize underlying infrastructure:

  • Right-size compute resources
  • Optimize storage configurations
  • Configure auto-scaling policies
  • Implement monitoring best practices

Alerting and Notifications​

Alert Configuration​

Set up intelligent alerts:

System Alerts

  • High CPU or memory usage
  • Database connection issues
  • Storage capacity warnings
  • Network connectivity problems

Application Alerts

  • Error rate thresholds
  • Response time degradation
  • Custom application metrics
  • Business logic alerts

Notification Channels​

Configure how you receive alerts:

  • Email notifications
  • Slack integration
  • PagerDuty integration
  • Webhook notifications
  • SMS alerts (enterprise)

Security Management​

Access Control​

Manage resource access:

  • Role-based permissions
  • API key management
  • Network security groups
  • Database access controls

Security Monitoring​

Monitor security aspects:

  • Failed authentication attempts
  • Unusual access patterns
  • Vulnerability scan results
  • Compliance status

Resource Lifecycle​

Environment Management​

Manage different environments:

Development Environment

  • Smaller resource allocations
  • Shared databases
  • Development-specific configurations

Staging Environment

  • Production-like configurations
  • Full testing capabilities
  • Isolated from production

Production Environment

  • High availability configurations
  • Automated backups
  • Enhanced monitoring and alerting

Resource Provisioning​

Automate resource provisioning:

  • Infrastructure as Code templates
  • Automated environment setup
  • Consistent configurations
  • Version-controlled infrastructure

Best Practices​

Monitoring​

Essential Monitoring

  • Set up comprehensive dashboards
  • Monitor key business metrics
  • Implement health checks
  • Use distributed tracing

Proactive Management

  • Regular performance reviews
  • Capacity planning
  • Cost optimization reviews
  • Security audits

Automation​

Automated Scaling

  • Configure appropriate scaling triggers
  • Test scaling policies under load
  • Monitor scaling events
  • Optimize scaling parameters

Automated Maintenance

  • Schedule regular maintenance windows
  • Automate backup verification
  • Implement blue-green deployments
  • Use feature flags for safe rollouts

Troubleshooting​

Common Issues​

Performance Problems

  • High response times
  • Memory leaks
  • Database bottlenecks
  • Network latency issues

Resource Constraints

  • CPU throttling
  • Memory exhaustion
  • Storage limitations
  • Connection pool exhaustion

Diagnostic Tools​

Use built-in diagnostic tools:

  • Real-time metrics dashboards
  • Log aggregation and search
  • Performance profiling
  • Network diagnostics

Advanced Features​

Auto-Scaling Policies​

Create sophisticated scaling policies:

scaling_policy:
  min_instances: 2
  max_instances: 10
  metrics:
    - type: cpu
      threshold: 70
      duration: 300
    - type: memory
      threshold: 80
      duration: 300
  scale_up:
    instances: 2
    cooldown: 300
  scale_down:
    instances: 1
    cooldown: 600

Custom Metrics​

Monitor custom application metrics:

  • Business KPIs
  • Application-specific metrics
  • Custom health checks
  • Third-party integrations

Next Steps​

Continue your Nimbuz journey:

  1. Learn best practices
  2. Set up advanced monitoring
  3. Explore CI/CD integration
  4. Configure disaster recovery

Support Resources​

Get help with resource management: