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Use Kubernetes-focused AI SRE agents to investigate incidents and act on existing operational context.

Investigate monitoring alerts with an AI SRE agent and review findings in a centralized platform.

Inject controlled failures into services and infrastructure to test reliability and recovery behavior.

A Kubernetes-oriented chaos engineering platform for running fault experiments and checking whether workloads stay healthy.

Run controlled chaos experiments and reliability checks against services before failures reach users.

Agentic AI platform for IT operations and incident management

An AI SRE that detects issues before alerts fire and finds root causes.

Reliability, incidents and operations reading

AI SRE platform that investigates alerts and helps resolve incidents

Correlates logs, metrics, traces, and user-experience telemetry for application and infrastructure troubleshooting.

AI-guided cloud-native observability for telemetry, service health, and cost control.

Centralize alert rules across metrics, logs, and database sources you already run.

Self-hosted full-stack observability with eBPF telemetry and service-level insights.

Use Red Hat's managed OpenShift application platform on Google Cloud; AWS deployments are available in select instances.

Store and search OpenTelemetry traces with a self-hosted backend that can scale from one node to a cluster.

Monitors infrastructure, distributed applications, and user experience through a hosted Splunk service.

Adds a global query view, high availability, and long-term storage to Prometheus deployments.

Analyze compiled code with a reverse-engineering framework