Automation APIs
The IoT.live Automation APIs provide programmatic access to automation and orchestration workflows within the platform.
These APIs are designed to support:
- Operational automation
- Workflow orchestration
- Integration platforms
- Event-driven processing
- Enterprise operational tooling
[IMAGE PLACEHOLDER: Automation API overview]
Automation API overview
The Swagger specification includes a dedicated Automation API service group.
Automation workflows are commonly used to:
- Trigger operational actions
- Coordinate bulk workflows
- Automate provisioning
- Execute scheduled processes
- Integrate external systems
Automation APIs are typically combined with:
- Connection APIs
- Campaign APIs
- Tagging APIs
- Usage APIs
- Provisioning APIs
[IMAGE PLACEHOLDER: Automation workflow architecture]
Common automation scenarios
Typical automation use cases include:
- Auto-suspending inactive subscriptions
- Triggering usage alerts
- Synchronising external inventory
- Bulk operational migrations
- Customer onboarding workflows
- Automated reporting
- Provisioning orchestration
Automation workflows may operate:
- In real time
- On scheduled intervals
- Through async processing
- Via external orchestration systems
Automation request model
Automation APIs follow the standard IoT.live request structure:
- HTTPS POST requests
- JSON request bodies
- RequestAbstract authentication
- Structured response handling
Example request structure:
Automation workflow patterns
Automation workflows may include:
- Scheduled operations
- Async operational processing
- Multi-stage orchestration
- Bulk processing
- Retry handling
- Conditional operational logic
Typical orchestration examples include:
- Provision → Tag → Activate
- Usage Check → Suspend → Notify
- Import → Validate → Process → Export
[IMAGE PLACEHOLDER: Multi-stage automation workflow]
Example automation endpoint structure
Refer to the Swagger schema definitions for operation-specific automation payloads and orchestration fields.
Async automation workflows
Many automation processes execute asynchronously when:
- Handling large operational datasets
- Coordinating provider-side operations
- Running enterprise campaigns
- Processing long-running tasks
Async operations may return:
- Pending
- Success
- Partially_Successful
- Failed
[IMAGE PLACEHOLDER: Async automation processing]
Automation monitoring
Automation integrations should monitor:
- Async operation status
- Campaign progress
- Failed records
- Retry behaviour
- Provider-side processing
Recommended monitoring approaches include:
- Logging corrId
- Monitoring async APIs
- Reviewing audit records
- Exporting failed operations
- Tracking operational metrics
Integration platforms
Automation APIs may be integrated with:
- Internal orchestration systems
- Enterprise schedulers
- CRM platforms
- Billing systems
- Operational dashboards
- External workflow engines
Common integration technologies include:
- Python
- PowerShell
- JavaScript
- Bash
- CI/CD pipelines
- Enterprise automation platforms
Automation failure handling
Automation workflows may fail due to:
- Invalid operational state
- Provider-side restrictions
- Async processing failures
- Invalid payloads
- Permission restrictions
- Operational conflicts
Recommended handling includes:
- Structured logging
- Safe retry logic
- Partial success handling
- Workflow monitoring
- Incremental rollback planning
Security considerations
Automation APIs may:
- Execute high-volume operational changes
- Modify live subscriptions
- Trigger billing-impacting workflows
- Affect customer connectivity
Recommended controls include:
- Restricting automation permissions
- Using dedicated API users
- Monitoring automation activity
- Logging all operational workflows
- Segregating production and testing
Automation workflows should be carefully validated before executing against production subscriptions.
Best practices
Recommended automation practices include:
- Build idempotent workflows where possible
- Use correlation IDs consistently
- Validate operational state before updates
- Monitor async processing fully
- Execute large changes in phases
- Export operational snapshots before major updates
Combining Audit APIs with async workflow monitoring significantly improves automation troubleshooting.