AI SRE Agent
Autonomous incident detection, RCA, and remediation for cloud-native systems
Faster mean-time-to-resolution
Incidents auto-remediated
Autonomous monitoring coverage
Autonomous reliability for cloud-native systems
Built for platform and SRE teams running Kubernetes, OpenShift, and hybrid cloud estates, AI SRE Agent ingests metrics, logs, traces, and events from CloudWatch, Azure Monitor, Datadog, Elastic, Grafana, Prometheus, and Kafka, then applies multi-signal correlation to detect anomalies early. Its root-cause-analysis engine builds a causal timeline across services, and its remediation layer executes pre-approved runbooks — with full ServiceNow ticketing and audit integration — closing the loop from detection to resolution.
Plugs into the observability stack you already run
No rip-and-replace. AI SRE Agent ingests signals from your existing monitoring tools and ticketing systems.
From signal to resolution, autonomously
Detect
Multi-signal anomaly detection across metrics, logs, traces, and events, tuned per service.
Diagnose
Causal graph reconstruction pinpoints the true root cause across dependent services.
Remediate
Policy-gated runbooks execute autonomously — restart, scale, roll back, or reroute.
Document
ServiceNow tickets are opened, updated, and closed automatically with full RCA attached.
Built for platform and SRE teams
Multi-signal Ingestion
Native integrations with CloudWatch, Azure Monitor, Datadog, Elastic, Grafana, Prometheus, and Kafka.
Kubernetes & OpenShift Native
Deep topology awareness across pods, nodes, services, and namespaces.
Incident Detection
Anomaly detection tuned per-service, with noise suppression and alert deduplication.
Root Cause Analysis
Causal graph reconstruction across dependent services to pinpoint the true origin of failure.
Auto Remediation
Policy-gated runbook execution — restart, scale, roll back, or reroute traffic autonomously.
ServiceNow Integration
Bi-directional ticket sync, automatic RCA attachment, and change-record generation.
Every remediation action is scoped and reversible
Autonomy without controls is a liability. AI SRE Agent runs every remediation action against a policy engine with scoped permissions, dry-run mode, approval gates, and full rollback — so your risk and platform teams stay in control.
- Scoped, least-privilege remediation permissions
- Dry-run mode for new runbooks
- Approval gates for high-impact actions
- Full audit trail and one-click rollback
14:02:03
Anomaly detected — p99 latency spike
14:02:11
Root cause: downstream cache eviction storm
14:02:19
Runbook executed: scale cache tier +2 nodes
14:03:47
Latency normalized — incident auto-closed
Why platform teams run AI SRE Agent
Fewer pages, less burnout
Autonomous remediation resolves routine incidents before humans are paged.
Faster RCA
Minutes, not hours, to a validated root cause across distributed services.
Works with your stack
No rip-and-replace — plugs into the observability tools you already run.
Governed autonomy
Every remediation action is policy-scoped, logged, and reversible.
See AI SRE Agent in action
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