The AI kit for DevOps Engineers

Designs cloud infrastructure with Terraform, Kubernetes, and CI/CD; for example, a VPC plus EKS module with GitOps and DR plan.

Builds metrics, dashboards, log aggregation, and SLA reports; for example, a Grafana board for checkout latency and error budget.

Configures and fixes pipelines with tests, builds, and rollbacks; for example, a GitHub Actions workflow with blue-green deploy steps.

Safely deploys and rolls back production Kubernetes changes; for example, a canary rollout with probes, limits, and validation gates.

Like "Draft GitHub Actions CI/CD Workflow"

Like "Generate Terraform Module Skeleton"

Like "Write Kubernetes Deployment Manifests"

Like "Triage a Production Alert"

Related tickets are grouped into the correct incident, quickly and with evidence.

Every cost spike explained, with the right owner and a safe fix proposal.

Logs that hide every restricted value but keep useful diagnostics.

Infrastructure matches the approved baseline or has a documented exception.

Let your AI log into AWS, list your accounts and roles, and run AWS commands for you.

Ask your AI about your Grafana, Prometheus, Kafka and Datadog setup and get answers in plain chat.

Lets your AI look at your Kubernetes or OpenShift cluster, check pods and logs, and make changes when you ask.

Lets your AI start Jenkins jobs, check build status, read logs, and fetch build files for you.

DrDroid automates production incident triage, troubleshooting, and remediation. Integrating with 50+ tools like Datadog and Kubernetes, it helps engineers resol

Microtica AI Incident Investigator analyzes deployments, configs, logs, and telemetry to quickly identify root causes of incidents, helping DevOps teams diagnos

Parity (YC S24) is the first AI SRE that autonomously investigates Kubernetes incidents, triages issues, identifies root causes, and suggests fixes—helping on-c

CICube enhances GitHub Actions CI pipelines by tracking crucial metrics, delivering AI-driven insights, and sending real-time alerts. It empowers DevOps teams t

Cuts time-to-root-cause and coordination effort while engineers keep control of fixes.

Reduces time from alert to reviewed fix without handing over control.

Cuts manual review effort and catches security issues before merge.

Reduces time to coordinated resolution while responders stay in control.

Sets up CI/CD pipelines, scaffolds infrastructure as code, and manages cloud deployments across AWS, GCP, and Azure.

Designs, deploys, and troubleshoots production Kubernetes clusters with security and performance focus.

Diagnoses production incidents using logs, metrics, and traces with systematic root cause analysis.

Designs and manages Terraform/OpenTofu infrastructure with secure state, modular code, and automated pipelines.