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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.

Resultat:

Accelerate your learning loops and improve system reliability with post-mortems generated in real-time.

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.

Les principaux impacts négatifs :

  • 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.

AVANT / APRÈS

Ce qui change avec 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

ÉTAPE 1 : Connect Datadog to Swiftask

Grant Swiftask access to your Datadog alerts and logs via a secure integration.

ÉTAPE 2 : Define your report templates

Configure your post-mortem template (timeline, root cause analysis, corrective actions).

ÉTAPE 3 : Configure triggers

Enable automatic generation upon resolution of a critical alert in Datadog.

ÉTAPE 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.

  • Connecteur cible : L'agent exécute les bonnes actions dans datadog selon le contexte de l'événement.
  • Actions automatisées : Automated Datadog data extraction. Intelligent log synthesis. Format compliant with SRE standards. Direct export to your collaboration tools.
  • Gouvernance native : Swiftask ensures every generated report is based on real, verifiable data from your Datadog stack.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-datadog@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Gain operational efficiency

1. Reduced MTTR

Rapid documentation enables better root cause analysis and more effective future prevention.

2. Increased standardization

All your reports follow the same structure, facilitating global analysis of your system reliability.

3. Exhaustive documentation

AI captures every technical detail, unlike human synthesis done from memory.

4. Focus on engineering

Free your engineers from administrative tasks so they can focus on resolving fundamental issues.

5. Total transparency

Share clear and accurate reports with all stakeholders, technical or otherwise.

Data security and compliance

Swiftask applique des standards de sécurité enterprise pour vos automatisations datadog.

  • 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.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measure the impact on your operations

MétriqueAvantAprès
Drafting time2 to 4 hours5 minutes of review
Documentation rate60% of incidents100% of incidents
Data accuracySubject to human forgetfulnessBased on Datadog logs

Passez à l'action avec datadog

Accelerate your learning loops and improve system reliability with post-mortems generated in real-time.

Supervision sécurité Datadog : automatisez la réponse avec l'IA

Cas d'usage suivant.