Operations
Deployment Errors and Service Interruptions
Code: ERR_DEPLOY_01
Failures during the CI/CD pipeline typically stem from environment mismatches or configuration drifts. Follow these steps to diagnose and remediate.
Diagnostics:
- Schema Mismatch: Verify that your database migration script aligns with the production environment variables.
- Dependency Conflicts: Audit your
package-lock.json or requirements.txt for nested vulnerabilities or deprecated libraries.
- Rollback Protocol: Use the Admin Console to revert to the previous 'Stable' build (V-1) while root cause analysis is performed.
Optimization
Latency and Performance Optimization
System Health
If automated workflows are processing below benchmarked speeds, it often indicates unoptimized API calls or insufficient resource allocation.
Optimization Steps:
- Query Profiling: Use the AIVRA Insights dashboard to identify slow-running database transactions.
- Caching Layer: Ensure Redis or Memcached instances are active and correctly configured for repetitive data fetches.
- Regional Latency: Pin your worker nodes closer to your primary data source via the 'Residency' settings.
Integration
API Connection and Rate Limit Issues
Traffic Governance
Encountering 429 Too Many Requests indicates that your programmatic calls have exceeded your current tier's throughput limits.
Resolution:
- Exponential Backoff: Implement a retry logic with increasing delays (1s, 2s, 4s) for all failed API calls.
- Batching: Use our bulk endpoints (
/v3/batch) instead of sequential single-record updates to reduce header overhead.
- Whitelisting: Ensure your firewall permits egress traffic to
api.aivra.in on ports 443 and 8443.
Automation
Bot Health and Session Management
Runtime Integrity
RPA bots may stall if an target UI element changes or a session token expires unexpectedly. Our bots are designed for unattended operation, but exceptions occur.
Manual Override:
- Log in to the Bot Orchestrator.
- Select the affected agent and click 'Purge Session Data'.
- Restart the agent in 'Debug Mode' to capture visual logs of the failure point.
- Update the selector paths if the target website has undergone a frontend update.
Architecture
Infrastructure and Resource Scaling
Scaling Protocols
System crashes during high-traffic periods usually signify that your auto-scaling groups are not triggering fast enough to handle the compute spike.
Configuration Adjustment:
- Warm Spares: Maintain a minimum of two active nodes at all times to handle instantaneous surges.
- Thresholds: Adjust your CPU/RAM scaling triggers to 65% utilization rather than the default 80%.
- Cluster Isolation: Move heavy background processing tasks to a dedicated worker cluster to prevent interference with frontend user sessions.
