Tarification

Automatically triage your Datadog alerts with AI

Swiftask connects your AI agents to Datadog. Filter out the noise, prioritize incidents, and notify the right teams instantly.

Resultat:

Save valuable time on incident qualification and drastically accelerate your response time.

The flood of Datadog alerts is paralyzing your team

Alert overload is the biggest hurdle to SRE and DevOps efficiency. Too many non-critical notifications bury real issues under a constant stream of alerts, leading to decision fatigue and increased resolution times.

Les principaux impacts négatifs :

Alert fatigue: Teams become desensitized to alerts due to false positives, increasing the risk of missing a major incident.
Delayed diagnostic time: Time spent manually triaging alerts delays actual problem analysis and resolution.
Ineffective communication: The right information doesn't always reach the right people at the right time, slowing down collaboration.

Swiftask automates your Datadog alert triage. Your AI agent analyzes each alert, verifies its relevance, and routes the incident to the right channel or team, while providing necessary context.

AVANT / APRÈS

Ce qui change avec Swiftask

Manual alert management

An alert lands in Datadog. An engineer must open it, check logs, determine if it's critical, then notify the relevant team via Slack or Jira. This process takes precious minutes every time.

Automated triage with Swiftask

As soon as an alert is triggered, the AI agent analyzes it in real-time. If it's minor, it logs it and ignores it. If it's critical, it enriches the alert with relevant logs and notifies the responsible party instantly via Teams or Slack.

Setting up AI triage in 4 phases

ÉTAPE 1 : Configure your Swiftask agent

Define your agent's triage goals and connect it to your monitoring environment.

ÉTAPE 2 : Integrate via Datadog Webhook

Set up Datadog to send alerts to Swiftask via a simple, secure webhook.

ÉTAPE 3 : Define decision rules

Teach your agent to distinguish noise from critical incidents using custom business rules.

ÉTAPE 4 : Deployment and monitoring

Activate the automated triage and track your resolution performance from your dashboard.

Core triage features

The agent examines Datadog tags, criticality, alert history, and temporal correlations for an informed decision.

Connecteur cible : L'agent exécute les bonnes actions dans datadog selon le contexte de l'événement.
Actions automatisées : Intelligent alert filtering, automatic ticket enrichment with logs, routing to the appropriate communication channel, automatic Jira ticket creation.
Gouvernance native : All triage decisions are auditable in Swiftask to continuously improve your processes.

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.

Operational benefits of AI triage

1. Noise reduction

Eliminate non-critical alerts and focus on incidents with real impact.

2. Optimized MTTR

Speed up response time through immediate routing to the right experts.

3. Enriched context

Every notification includes the data needed to start diagnostics instantly.

4. Standardization

Apply the same triage rules across all your services, without exception.

5. Scalability

Manage thousands of alerts per day without increasing your team's workload.

Monitoring data security

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

Secure connection: Swiftask uses restricted API tokens to read only the necessary alerts.
Confidentiality: Your alert data is processed locally or within secure, compliant environments.
Full audit trail: Every triage action is logged to ensure full traceability of AI decisions.
Access control: Define exactly who has permission to modify triage rules within your organization.

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

RÉSULTATS

Impact on your IT metrics

Métrique	Avant	Après
Alerts processed per day	Limited by human time	Unlimited and automated
Average triage time	5-10 minutes	Under 5 seconds
Non-critical alert rate	Constant noise	95% filtered
SRE team satisfaction	High (Fatigue)	Optimized (Focus)

Passez à l'action avec datadog

Save valuable time on incident qualification and drastically accelerate your response time.

Diagnostiquez vos incidents Datadog instantanément par IA

Cas d'usage suivant.