System Architecture
How Flint's workflow system works behind the scenes
System Architecture
Learn about the infrastructure that powers your workflows and ensures reliable execution.
How the System Works
High-Level Overview
Flint's workflow system consists of three main components working together:
Your Interface
- Web dashboard for creating workflows
- Mobile apps for on-the-go access
- API for programmatic control
- Real-time monitoring and alerts
Orchestration Layer
- Central brain that manages everything
- Queues and schedules workflow runs
- Monitors system health
- Handles scaling and resource allocation
Execution Layer
- Lightweight workers that run your workflows
- Automatically scale based on demand
- Distributed across multiple regions
- Fault-tolerant and self-healing
Visual System Architecture
Your Dashboard/API
↓
Central Orchestrator
↓ ↓
Worker 1 Worker 2 ... Worker N
↓ ↓ ↓
External Systems (Email, APIs, Databases)Worker System
What Are Workers?
Workers are lightweight, specialized computers that execute your workflows. Think of them as digital employees that can:
- Run workflows 24/7 without breaks
- Handle multiple tasks simultaneously
- Scale up during busy periods
- Scale down when work is light
- Recover automatically from failures
How Workers Operate
Stateless Design
- Each worker can run any workflow
- No data stored locally on workers
- Easy to replace if one fails
- Simple to add more when needed
Automatic Management
- System creates workers when demand increases
- Shuts down idle workers to save resources
- Maintains optimal pool size automatically
- Handles worker health and replacement
Regional Distribution
- Workers deployed globally
- Your workflows run close to your users
- Reduced latency for better performance
- Compliance with data residency requirements
Worker Lifecycle
Starting Up
- System detects need for more capacity
- New worker spins up in under 30 seconds
- Worker registers with orchestrator
- Becomes available for workflow execution
Processing Work
- Receives workflow from orchestrator
- Executes steps according to definition
- Reports progress and results back
- Marks itself available for next task
Scaling Down
- Worker completes current tasks
- Remains idle for 5+ minutes
- System marks for shutdown
- Worker gracefully terminates
- Resources returned to pool
Orchestration System
Central Coordination
The orchestrator is the "air traffic control" of your workflow system:
Job Management
- Receives workflow execution requests
- Queues jobs based on priority
- Assigns jobs to available workers
- Monitors execution progress
- Handles failures and retries
Worker Management
- Tracks all worker status
- Decides when to create new workers
- Routes jobs to optimal workers
- Handles worker failures gracefully
- Maintains performance metrics
Resource Optimization
- Balances workload across workers
- Predicts capacity needs
- Optimizes for cost and performance
- Manages regional distribution
- Handles traffic spikes automatically
Intelligent Scheduling
Priority Handling
- Urgent workflows jump to front of queue
- Normal workflows processed in order
- Low-priority jobs run during off-peak times
- Custom priority levels for organizations
Load Balancing
- Distributes work evenly across workers
- Considers worker capacity and location
- Avoids overloading any single worker
- Adapts to changing conditions dynamically
Failure Recovery
- Automatically retries failed jobs
- Reassigns work from failed workers
- Maintains backup workers for critical processes
- Escalates persistent issues to support
Reliability Features
High Availability
No Single Points of Failure
- Multiple orchestrators for redundancy
- Worker pools across different regions
- Database replication and backups
- Network routing redundancy
Graceful Degradation
- System continues operating during issues
- Non-critical features may be temporarily limited
- Priority given to running workflows
- Full recovery when issues resolve
Disaster Recovery
- Complete system backups
- Cross-region failover capability
- Data recovery procedures
- Business continuity planning
Data Protection
Persistent Storage
- All workflow data saved to database
- Complete audit trails maintained
- Results preserved even if workers fail
- Long-term data retention policies
Security Measures
- End-to-end encryption
- Secure communication between components
- Access control and authentication
- Regular security audits and updates
Backup Systems
- Multiple data center locations
- Real-time data replication
- Point-in-time recovery capability
- Automated backup verification
Performance Characteristics
Scalability
Automatic Scaling
- Workers scale from 1 to 1000+ automatically
- Response to traffic spikes in under 1 minute
- Global capacity management
- Cost optimization through right-sizing
Capacity Planning
- System learns your usage patterns
- Pre-scales for known busy periods
- Maintains buffer capacity for unexpected load
- Provides capacity planning reports
Speed Optimization
Execution Speed
- Workers optimized for specific tasks
- Pre-warmed workers for instant response
- Caching of frequently used data
- Efficient resource utilization
Network Optimization
- Content delivery networks (CDN)
- Regional data centers
- Optimized routing protocols
- Compression and caching
Monitoring & Operations
System Monitoring
Health Checks
- Continuous monitoring of all components
- Early detection of potential issues
- Automatic remediation when possible
- Alerting for manual intervention needs
Performance Tracking
- Real-time metrics collection
- Historical trend analysis
- Performance benchmarking
- Capacity utilization reports
Error Tracking
- Comprehensive error logging
- Error pattern analysis
- Automatic error categorization
- Proactive issue identification
Maintenance Operations
Updates & Patches
- Zero-downtime deployment process
- Gradual rollout of updates
- Automatic rollback if issues detected
- Maintenance window notifications
Capacity Management
- Proactive capacity expansion
- Resource optimization
- Cost management
- Performance tuning
Security Operations
- Regular security updates
- Threat monitoring
- Incident response procedures
- Compliance maintenance
Enterprise Features
Advanced Configuration
Custom Regions
- Deploy workers in specific regions
- Data sovereignty compliance
- Latency optimization
- Regulatory requirements
Resource Allocation
- Dedicated worker pools
- Custom capacity limits
- Priority queue management
- SLA enforcement
Integration Options
- VPN connectivity
- Private network access
- Custom authentication
- Specialized protocols
Support & SLA
Service Level Agreements
- 99.9% uptime guarantee
- Response time commitments
- Escalation procedures
- Performance benchmarks
Support Tiers
- 24/7 technical support
- Dedicated account managers
- Custom training programs
- Professional services
Understanding Your Impact
What This Means for You
Reliability
- Your workflows run consistently
- Minimal downtime or interruptions
- Automatic recovery from failures
- Peace of mind for critical processes
Performance
- Fast execution times
- Handles traffic spikes gracefully
- Scales with your business growth
- Optimized for your use patterns
Cost Efficiency
- Pay only for what you use
- Automatic optimization saves money
- No infrastructure to manage
- Predictable pricing model
Best Practices
Workflow Design
- Design for reliability from the start
- Plan for reasonable execution times
- Include appropriate error handling
- Test thoroughly before production
Monitoring
- Set up appropriate alerts
- Review performance regularly
- Monitor for unusual patterns
- Plan capacity for growth
Optimization
- Use parallel execution where beneficial
- Optimize data flow between steps
- Leverage caching for repeated data
- Consider regional deployment options