Automate your MTTR tracking with Pulsetic and Swiftask
Swiftask synchronizes Pulsetic downtime alerts to measure your Mean Time To Repair (MTTR) without manual calculations.
Result:
Gain visibility into your service reliability and accelerate your incident resolution process.
AI Agents
pulsetic
Connector pulsetic · Secure OAuth 2.0
Manual MTTR tracking hurts your responsiveness
Tracking MTTR manually is error-prone and slow. Between receiving a Pulsetic alert and updating your dashboard, precious minutes are lost, making performance data obsolete before it's even analyzed.
Main negative impacts:
Inaccurate performance data
Manual calculation often misses latency times, skewing your actual time to restore service.
Operational silos
Data remains trapped in Pulsetic without being correlated with your team's resolution actions.
Time-consuming reporting
Consolidating incidents to generate a monthly MTTR report takes hours instead of being instant.
Swiftask automates the capture of Pulsetic events. As soon as a downtime alert is triggered, the AI agent logs the timestamp and automatically correlates it with the resolution, providing accurate MTTR in real time.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
A Pulsetic alert fires. An engineer manually notes the start time, then the end time after resolution, before updating an Excel spreadsheet at the end of the week.
With Swiftask + Pulsetic
Upon a Pulsetic alert, Swiftask creates an incident entry. Once resolved, the agent automatically calculates the elapsed time and updates your performance dashboard.
Automate your MTTR tracking in 4 steps
1
STEP 1 : Connect Pulsetic to Swiftask
Use Pulsetic webhooks to stream service status alerts directly to your Swiftask AI agent.
2
STEP 2 : Define calculation rules
Configure the agent to identify 'Downtime' and 'Uptime' events to precisely calculate the duration between them.
3
STEP 3 : Centralize your data
Configure the data destination (Database, Google Sheets, or internal dashboard) to visualize your MTTR.
4
STEP 4 : Analyze and optimize
View MTTR trends over time to identify critical services and improve your overall resilience.
AI agent analysis capabilities
The agent correlates Pulsetic alerts with your incident logs to ensure calculation accuracy.
- Target connector: The agent performs the right actions in pulsetic based on event context.
- Automated actions: Automated MTTR calculation by service. Export data to BI tools. Automated alerts if MTTR exceeds critical thresholds.
- Native governance: Data is securely archived for your Service Level Agreement (SLA) compliance audits.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-pulsetic@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Why automate MTTR tracking
Surgical precision
Eliminate human error in downtime calculation.
Operational time saving
Remove manual data entry for performance metrics.
Real-time reporting
Access your reliability KPIs at any time, without waiting for month-end.
Continuous improvement
Quickly identify bottlenecks to reduce your overall MTTR.
Monitoring data security
Swiftask applies enterprise-grade security standards for your pulsetic automations.
- Data encryption: All Pulsetic alerts transit through secure channels (HTTPS).
- Auditability: Every MTTR calculation is logged, allowing you to trace back to the source alert for verification.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your IT performance
| Metric | Before | After |
|---|---|---|
| MTTR calculation time | Several hours / month | Real-time |
| Data accuracy | Prone to human error | 100% automated and verifiable |
Take action with pulsetic
Gain visibility into your service reliability and accelerate your incident resolution process.