Production Bot Monitoring
Proactive monitoring catches issues before they impact business SLAs.
- Orchestrator monitoring dashboard — job status, queue throughput, robot availability in real time
- Queue SLA monitoring — Risk SLA and SLA deadline tracking for time-sensitive queues
- Log-based alerting — setting up email/webhook alerts for Error and Fatal log entries
- Failed transaction rate tracking — monitoring business vs system exception ratios
- Robot health checks — detecting disconnected robots, license expiry, machine provisioning issues
- External monitoring integration — pushing Orchestrator metrics to Datadog, Splunk, or custom dashboards
Incident Response for Bot Failures
Rapid, structured incident response minimizes production impact.
- First response — identifying the failing bot, scope of failure (single item vs all items vs all jobs)
- Log triage — filtering Orchestrator logs for Error/Fatal, identifying exception type and message
- Screenshot analysis — reviewing failure screenshots captured by the bot at exception point
- Root cause analysis (RCA) — distinguishing UI change, data change, system outage, or code defect
- Emergency stop vs continue — when to halt all instances vs allow the bot to continue
- Temporary workaround — manual processing while bot fix is developed and deployed
Queue Backlog Management
Queue backlogs require systematic resolution to recover from SLA breach situations.
- Backlog assessment — queued item count, age of oldest items, time to SLA breach
- Emergency performer scaling — adding additional robot instances to process backlog faster
- Queue trigger adjustment — temporarily lowering queue trigger threshold to process faster
- Manual batch processing — human processing of high-priority items while bot catches up
- Backlog prevention — identifying root cause (slow processing, frequent failures, insufficient robots)
- SLA reporting — communicating backlog status and recovery timeline to business stakeholders
Hypercare Support
Hypercare is the intensive monitoring period immediately after a new bot deployment.
- Hypercare definition — 1–4 weeks of heightened monitoring after go-live
- Hypercare monitoring checklist — job success rate, exception rate, processing time, queue throughput
- Rapid response commitment — faster SLA for issue resolution during hypercare period
- Issue triage in hypercare — distinguishing configuration issues from code defects from data issues
- Hypercare exit criteria — defined success metrics before transitioning to standard support mode
- Post-hypercare knowledge transfer — documenting known issues, monitoring setup, escalation paths
SLA Management and Release Support
SLA compliance and managed releases protect business operations.
- Bot SLA definition — agreed processing time, error rate, and availability targets
- SLA reporting — weekly/monthly SLA performance reporting to business stakeholders
- Release support — coordinating bot deployments with business release windows
- Rollback procedures — reverting to previous stable version on critical failures
- Bot maintenance windows — scheduling updates without impacting business hours
- Production change management — change request process for bot modifications in enterprise environments
Frequently Asked Questions
What UiPath production support do you provide?
We provide real-time production support — bot failure diagnosis, Orchestrator log analysis, queue backlog resolution, RCA, SLA management, hypercare monitoring, release support, and emergency production firefighting. We can join your monitoring session and help resolve production incidents during your business hours.
How quickly can you respond to a UiPath production incident?
Contact us on WhatsApp and we respond immediately. For urgent production incidents affecting business operations, we prioritize same-session response and can be available within minutes during business hours.
Can you provide hypercare support for a new UiPath deployment?
Yes. Hypercare support includes intensive monitoring during the first 1–4 weeks post-deployment, rapid response to issues, daily health check reviews, exception pattern analysis, and defined exit criteria before transitioning to standard support mode.
What does UiPath production support include for healthcare RPA?
Healthcare production support includes all standard bot monitoring plus: PHI-safe log review (no patient data exposure in support sessions), clinical workflow impact assessment during failures, coordination with healthcare IT teams, and HIPAA-aware incident handling procedures.
Ready to get real-time expert support?
Same-day start. Confidential. All major time zones covered.