Swiftask connects your AI agents to Datadog to analyze and correlate millions of metrics in real-time. Stop searching for the needle in the haystack.
Resultat:
Dramatically reduce your MTTR by automatically identifying correlations between metrics, logs, and events.
Data explosion makes manual correlation impossible
Faced with complex microservice architectures, SRE teams are overwhelmed by the volume of Datadog data. Manually correlating metrics, traces, and logs takes precious time during critical incidents.
Les principaux impacts négatifs :
Swiftask acts as an analytical brain over Datadog. It continuously correlates your metrics, logs, and events to instantly pinpoint the root cause.
AVANT / APRÈS
Ce qui change avec Swiftask
The traditional approach
A latency alert triggers. The engineer opens 5 different dashboards, manually compares charts, hunts for anomalies in logs, and guesses the link to recent deployments.
The Swiftask + Datadog analysis
The Swiftask AI agent receives the Datadog alert, queries correlated metrics, analyzes recent logs, and presents the diagnosis: 'Latency caused by memory leak on service X after deployment Y'.
Activate AI correlation in 4 steps
ÉTAPE 1 : Secure Datadog integration
Connect Swiftask to your Datadog instance via API key. Access is read-only, ensuring your data security.
ÉTAPE 2 : Define analysis scope
Configure the critical services and metrics the agent should monitor as a priority.
ÉTAPE 3 : Trigger configuration
Trigger automatic analysis as soon as a threshold is crossed or a specific event is detected in Datadog.
ÉTAPE 4 : Diagnostic and notification
The agent analyzes, synthesizes, and sends the correlation report directly to your collaboration tools (Slack/Teams).
Advanced analysis capabilities
The agent cross-references time series, infrastructure tags, and application logs to detect anomalies invisible to the human eye.
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
1. MTTR cut in half
The time taken to find the root cause is reduced from tens of minutes to a few seconds.
2. Eliminate noise
Only correlated and relevant signals are escalated to on-call teams.
3. Infinite scalability
The AI analyzes thousands of metrics simultaneously, where a human could only handle a few dozen.
4. Skill transfer
AI insights help junior engineers diagnose complex incidents like experts.
5. Automatic documentation
Every analysis is archived, creating a valuable knowledge base for post-mortems.
Compliance and security
Swiftask applique des standards de sécurité enterprise pour vos automatisations datadog.
Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.
RÉSULTATS
Impact on your SRE performance
| Métrique | Avant | Après |
|---|---|---|
| Mean Time to Diagnose (MTTD) | 30-60 minutes | < 2 minutes |
| Irrelevant alerts | High volume | 80% reduction |
| Diagnostic reliability | Variable (human) | High (data-driven) |
| SRE cognitive load | Maximum during crisis | Resolution-oriented |
Passez à l'action avec datadog
Dramatically reduce your MTTR by automatically identifying correlations between metrics, logs, and events.