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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.

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

STEP 1 : Connect Alerty to Swiftask

Integrate your Alerty data streams into Swiftask via webhooks in minutes.

STEP 2 : Define your context rules

Configure the AI to enrich alerts with relevant data from your tech stack.

STEP 3 : Customize notification channels

Route enriched alerts to Slack, Teams, or email based on severity.

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

1. Drastic reduction in MTTR

Your teams receive immediate information needed to act.

2. Noise elimination

Only truly critical and contextual alerts are delivered.

3. Operational scalability

Manage more infrastructure without increasing your monitoring team size.

4. Improved team morale

Fewer useless alerts at 3 AM, better quality of life at work.

5. 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

MetricBeforeAfter
Diagnostic time30-60 minutesLess than 5 minutes
Alert volume processedHigh (noise)Optimized (signal)
IT team satisfactionLowHigh
Human error rateSignificantReduced by 70%

Take action with alerty

Reduce Mean Time To Resolution (MTTR) by eliminating alert noise.

From alert to automated resolution with Swiftask and Alerty

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