Tarification

Real-time monitoring: turn Airbrake alerts into immediate actions

Swiftask connects your AI agents to Airbrake. Stop just receiving alerts: analyze, qualify, and trigger resolutions automatically.

Resultat:

Lower your MTTR (Mean Time To Resolution) and free your technical teams from tedious triage tasks.

Airbrake alert overload paralyzes your teams

Traditional monitoring creates too much noise. Your developers spend their time triaging non-critical Airbrake alerts instead of fixing real issues. This lack of filtering leads to cognitive fatigue and increased resolution times.

Les principaux impacts négatifs :

Alert fatigue: The constant volume of errors masks critical incidents, increasing the risk of missing a major outage.
Manual triage time: Manually qualifying every error wastes valuable time that could be spent on feature development.
Limited reactivity: Between receiving the alert and human action, the response time is too long, directly impacting user experience.

Swiftask deploys AI agents that intercept your Airbrake alerts in real time. They filter, analyze criticality, and can even trigger automated remediation workflows.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

An error occurs. Airbrake sends a notification. The developer must leave their context, analyze the error, check if it's a duplicate, and manually decide on the priority. If it's outside business hours, the delay is critical.

With Swiftask + Airbrake

The AI agent receives the Airbrake alert, correlates it with history, eliminates false positives, and, if necessary, creates a ticket or notifies the relevant team with a pre-analyzed diagnosis. Resolution begins instantly.

Set up your intelligent monitoring in 4 steps

ÉTAPE 1 : Connect Airbrake to Swiftask

Integrate Airbrake into your Swiftask workspace via webhook. The agent immediately starts receiving error streams.

ÉTAPE 2 : Define analysis rules

Teach your agent to distinguish critical errors from minor ones. Set up custom tolerance thresholds.

ÉTAPE 3 : Automate responses

Configure actions: Slack notification, Jira ticket creation, or launching a service restart script.

ÉTAPE 4 : Monitor activity

View all processed alerts and actions taken by the agent in the centralized dashboard.

Capabilities of your AI agent for Airbrake

The agent analyzes stack trace, frequency of occurrence, and user impact for every Airbrake error.

Connecteur cible : L'agent exécute les bonnes actions dans airbrake selon le contexte de l'événement.
Actions automatisées : Intelligent alert filtering, error correlation, automated ticket creation, targeted team notifications, execution of remediation workflows.
Gouvernance native : All analyses are logged for total transparency regarding the decisions made by the agent.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-airbrake@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

1. Noise reduction

Only errors requiring human intervention reach your developers.

2. Optimized MTTR

Immediate qualification enables much faster incident resolution.

3. Technical governance

Centralize alert management and keep a complete history of actions taken.

4. Focus on innovation

Free your engineers from repetitive maintenance tasks.

5. Scalability

Your agent handles thousands of alerts simultaneously, without faltering.

Security and compliance

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

Data encryption: All data from Airbrake is secured during transit and processing.
Strict access control: Fine-grained permission management for accessing error logs and remediation actions.
Compliance: Full audit trail compliant with requirements for critical production environments.
Independence: Swiftask operates as an orchestration layer without modifying your source code.

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

RÉSULTATS

Impact on your key metrics

Métrique	Avant	Après
Alert triage time	Minutes per alert	Instant
Non-critical alerts ignored	0%	90%+
Mean Time To Resolution (MTTR)	High	Significantly reduced

Passez à l'action avec airbrake

Lower your MTTR (Mean Time To Resolution) and free your technical teams from tedious triage tasks.

Assignez dynamiquement vos erreurs Airbrake grâce à vos agents IA

Cas d'usage suivant.