Generate incident post-mortems instantly from Datadog
Swiftask connects your Datadog alerts to a specialized AI to draft your post-incident reports. Stop wasting time on manual documentation.
Result:
Accelerate your learning loops and improve system reliability with post-mortems generated in real-time.
AI Agents
datadog
Connector datadog · Secure OAuth 2.0
Manual post-mortem writing slows down your learning cycle
After an incident, understanding the root cause is the priority. However, manual post-mortem writing is often neglected or delayed. Information gets lost, technical details fade, and lessons learned are never shared effectively with the team.
Main negative impacts:
Loss of technical context
The time elapsed between the incident and drafting causes crucial details from Datadog logs to be forgotten.
Incomplete documentation
The workload involved discourages engineers, leading to superficial and non-actionable reports.
Information silos
Without a standardized and automated format, findings remain isolated in tickets or chat threads.
Swiftask automates data collection from Datadog to structure a complete post-mortem report, including timeline, impact, and actionable recommendations.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
An engineer spends hours navigating Datadog to extract logs, correlate events, and manually write the incident narrative in a shared document, often days after the event.
With Swiftask + Datadog
As soon as the incident is resolved, Swiftask automatically queries Datadog, aggregates relevant data, and generates a post-mortem draft ready for team review.
Automate your reports in 4 simple steps
1
STEP 1 : Connect Datadog to Swiftask
Grant Swiftask access to your Datadog alerts and logs via a secure integration.
2
STEP 2 : Define your report templates
Configure your post-mortem template (timeline, root cause analysis, corrective actions).
3
STEP 3 : Configure triggers
Enable automatic generation upon resolution of a critical alert in Datadog.
4
STEP 4 : Review and finalize
Receive your pre-filled report, verify the AI's conclusions, and publish directly.
Key automation features
The agent analyzes Datadog metrics, log events, and status changes to reconstruct the incident history.
- Target connector: The agent performs the right actions in datadog based on event context.
- Automated actions: Automated Datadog data extraction. Intelligent log synthesis. Format compliant with SRE standards. Direct export to your collaboration tools.
- Native governance: Swiftask ensures every generated report is based on real, verifiable data from your Datadog stack.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-datadog@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.
Gain operational efficiency
Reduced MTTR
Rapid documentation enables better root cause analysis and more effective future prevention.
Increased standardization
All your reports follow the same structure, facilitating global analysis of your system reliability.
Exhaustive documentation
AI captures every technical detail, unlike human synthesis done from memory.
Focus on engineering
Free your engineers from administrative tasks so they can focus on resolving fundamental issues.
Total transparency
Share clear and accurate reports with all stakeholders, technical or otherwise.
Data security and compliance
Swiftask applies enterprise-grade security standards for your datadog automations.
- Read-only access: Swiftask accesses Datadog only to extract data necessary for analysis.
- Data encryption: All processed information is encrypted in transit and at rest.
- SRE compliance: Adherence to incident data governance best practices.
- No unauthorized storage: Sensitive data is not stored beyond what is necessary for report generation.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measure the impact on your operations
| Metric | Before | After |
|---|---|---|
| Drafting time | 2 to 4 hours | 5 minutes of review |
| Documentation rate | 60% of incidents | 100% of incidents |
| Data accuracy | Subject to human forgetfulness | Based on Datadog logs |
Take action with datadog
Accelerate your learning loops and improve system reliability with post-mortems generated in real-time.