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Now accepting Q3 2025 engagements. Limited spots available for enterprise AI deployments.
Reserve your spotSelf-Healing Infrastructure at Machine Speed
Move past basic alerts. Our AI agents ingest Datadog telemetry, diagnose root causes using trained models, verify authorization through Okta, and autonomously resolve incidents through ServiceNow — all in seconds, not days.
From anomaly detection to resolved ticket — autonomous, auditable, and fast.
Agents continuously ingest metrics, logs, and traces. LLM Observability monitors AI-specific signals. Anomaly detection triggers within milliseconds of threshold breach.
The intelligence layer cross-references the anomaly against 18+ months of incident history, deployment logs, and change records to identify root cause with confidence scoring.
Before any action, the agent verifies its permissions via Okta machine identity. Zero-trust policies ensure only approved remediations execute. Anomalous requests trigger immediate security alerts.
Now Assist carries out the approved remediation — rolling back deployments, restarting services, scaling resources, or provisioning replacements. The ticket is auto-documented and closed.
Agentic Remediation is an AI-driven AIOps approach where autonomous agents detect infrastructure anomalies via Datadog, diagnose root causes using AI, verify remediation authorization through Okta, and execute fixes through ServiceNow — without human intervention.
Sabalynx clients typically see 70-85% reduction in Mean Time to Resolution. Our fastest case achieved an 8.2-second fully autonomous resolution for an infrastructure incident that previously averaged 4+ days with human teams.
Agents use a confidence gating system. If the resolution confidence score falls below 85%, the agent escalates to a human engineer — but pre-populates the ticket with root cause diagnosis, Datadog graphs, and the top-3 runbook recommendations so the engineer resolves it 60% faster.
Get a free 30-minute assessment of your current incident response workflow.
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