Aiden for SRE

Aiden resolves L1 incidents. Your SREs build reliability

Aiden is an AI SRE that acts autonomously on recurring incidents and works complex ones alongside your team through to resolution — policy-bound and fully auditable.

SRE
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Aiden for

SRE

StackGen is trusted by leading enterprises

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SRE Team Challenges

80% of alerts are noise that wastes engineering time

SRE teams spend hours triaging false positives instead of solving real problems that impact customers

Mean time to resolution suffers without full context

Correlating logs, metrics, and traces across services requires manual effort and deep tribal knowledge.

Reactive firefighting consumes 40% of SRE capacity

Without proactive detection, teams discover issues only after users are already impacted.

Automate SRE Operations with Intelligence and Human Oversight

Auto-discover infrastructure, filter alert noise, and accelerate root cause analysis with AI that learns your environment—keeping humans in control of critical decisions that impact SLO

Intelligent Discovery

Auto-discover infrastructure, services, and dependencies from your existing observability stack—no manual mapping required.

  • Discovers from Grafana, Prometheus, Loki, and Jaeger
  • Maps AWS, GCP, and Azure cloud infrastructure
  • Builds service topology and dependency graphs
  • Loads relevant skills based on discovered entities
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Alert Intelligence

Cut through alert noise with automated correlation, deduplication, and severity classification by blast radius.

  • Auto-categorize by severity and service impact
  • Suppress noise and correlate related alerts
  • Enrich alerts with RCA and deployment context
  • Predictive patterns from historical incidents
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Actionable Root Cause Analysis

Trace incidents across service dependencies and correlate logs, metrics, and events to identify probable causes fast.

  • Pre-built RCA workflows for common failure scenarios
  • Anomaly detection across metrics and logs
  • Dependency mapping for impact assessment
  • Error pattern recognition and signatures
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Human-in-the-Loop Remediation

Execute remediation workflows for common scenarios with full audit trails and human approval for every action.

  • Service restarts, scaling, and traffic routing
  • Deployment rollback with approval gates
  • Complete audit trails for every action
  • 50+ pre-built remediation tasks ready to use
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SLO Tracking

Track error budget consumption in real-time and prioritize incidents by SLO impact, not just alert severity.

  • Real-time error budget consumption tracking
  • Predictive alerting before budget exhaustion
  • Observability blind spots discovery
  • Alert noise reduction recommendations
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Expert AI SRE at reliable scale.

Automatically discovers existing infrastructure

Maps your services, dependencies, and topology from Grafana, Prometheus, and cloud providers—no manual cataloging required.

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Triages alerts by filtering false positives

Correlates related alerts, suppresses known noise patterns, and surfaces only the signals that matter to your on-call team.

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Prioritize incidents against SLO Goals

Ranks incidents by error budget impact so your team focuses on what threatens reliability, not just what's loudest.

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Creates actionable Root Cause Analysis

Traces issues across service dependencies, correlates logs and metrics, and identifies probable causes with supporting evidence.

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Implements remediation strategy pending human approval

Suggests proven fixes from 50+ pre-built workflows while keeping engineers in control—every action requires explicit approval.

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Driving Outcomes

50%
Faster Root Cause Analysis
70%
Reduction in Alert Noise
90%
Faster Issue Detection

Frequently
Asked Questions

What observability tools does Aiden integrate with?

Aiden integrates with Grafana, Prometheus, Loki, Jaeger, Datadog, Dynatrace, NewRelic, and Google Cloud Monitoring. We also connect with PagerDuty, Jira, Slack, and Microsoft Teams for incident management.

Does Aiden automatically fix issues without human approval?

No. Aiden uses human-in-the-loop remediation—every action requires your approval before execution. Full audit trails are maintained for compliance and accountability.

How long does it take to discover my infrastructure?

Initial discovery runs when you connect your observability stack. Most environments complete discovery within hours. You can schedule recurring discovery or trigger it manually.

What if Aiden doesn't support my specific tech stack?

Aiden works with AWS, GCP, Azure, Kubernetes, and common databases and message queues. Check our integrations page for the full list, or contact us about specific requirements.

How is Aiden different from traditional AIOps platforms?

Unlike AIOps tools that require extensive setup, Aiden auto-discovers your environment and ships with 50+ pre-built tasks. We integrate with your existing observability stack rather than replacing it.

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