Stop receiving alerts, start receiving solutions with Swiftask and Alerty
Swiftask enriches your Alerty alerts with AI to provide contextual, actionable notifications directly to your technical teams.
Result:
Reduce Mean Time To Resolution (MTTR) by eliminating alert noise.
AI Agents
alerty
Connector alerty · Secure OAuth 2.0
The alert fatigue problem
Monitoring tools like Alerty generate thousands of alerts. Too often, these alerts lack context, overwhelm your teams, and end up being ignored.
Main negative impacts:
Alert fatigue
Constant volume of unqualified alerts leads to lower vigilance and high risk of missing critical incidents.
Lack of context
Receiving an alert without explanation forces your engineers to investigate manually, wasting precious time.
Information silos
Alerting data remains isolated, making it difficult to correlate events with their real business impact.
Swiftask acts as an intelligence layer on top of Alerty. It analyzes each alert, adds necessary context (logs, history, impact), and delivers an actionable notification.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
An Alerty alert arrives: 'CPU Threshold Exceeded'. Your engineers must connect to multiple tools, check logs, understand the impacted service. Time ticks by, panic rises.
With Swiftask + Alerty
A contextual notification arrives: 'CPU Alert on Service X. Impact: Response time +20%. Suggestion: Restart container Y'. The engineer approves with one click.
Setting up your intelligent alert workflow
1
STEP 1 : Connect Alerty to Swiftask
Integrate your Alerty data streams into Swiftask via webhooks in minutes.
2
STEP 2 : Define your context rules
Configure the AI to enrich alerts with relevant data from your tech stack.
3
STEP 3 : Customize notification channels
Route enriched alerts to Slack, Teams, or email based on severity.
4
STEP 4 : Automate remediation
If desired, add automatic actions to fix recurring issues.
Key integration features
The AI agent analyzes logs, service dependencies, and recent incidents in real-time to contextualize the Alerty alert.
- Target connector: The agent performs the right actions in alerty based on event context.
- Automated actions: Automatic alert enrichment, incident correlation, business-impact based prioritization, intelligent routing to the right teams.
- Native governance: All notifications are centralized and auditable in Swiftask.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-alerty@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.
Why choose Swiftask for your alerts
Drastic reduction in MTTR
Your teams receive immediate information needed to act.
Noise elimination
Only truly critical and contextual alerts are delivered.
Operational scalability
Manage more infrastructure without increasing your monitoring team size.
Improved team morale
Fewer useless alerts at 3 AM, better quality of life at work.
Compliance and traceability
Every alert and remediation action is automatically documented.
Security and compliance
Swiftask applies enterprise-grade security standards for your alerty automations.
- Data encryption: All data passing between Alerty and Swiftask is encrypted.
- Environment isolation: Your configurations are isolated by workspace.
- Full audit trail: Full history of enriched alerts.
- Granular control: Management of access rights to alerts.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on your operations
| Metric | Before | After |
|---|---|---|
| Diagnostic time | 30-60 minutes | Less than 5 minutes |
| Alert volume processed | High (noise) | Optimized (signal) |
| IT team satisfaction | Low | High |
| Human error rate | Significant | Reduced by 70% |
Take action with alerty
Reduce Mean Time To Resolution (MTTR) by eliminating alert noise.