K8sGPT vs Nova AI Ops

K8sGPT scans Kubernetes clusters with SRE-grade analyzers and explains problems in plain English. It provides a CLI, an in-cluster operator, and an MCP interface for AI assistants. The project lists 23 built-in analyzers and supports custom analyzers over gRPC. Fourteen cloud or local AI backends are listed, including OpenAI, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Ollama, and LocalAI. Documented integrations include Prometheus, Trivy, Kyverno, KEDA, and AWS. Analysis without the explain option can run without an AI backend, while explanations require one. Local or air-gapped operation can use Ollama, LocalAI, or a custom REST backend. Anonymization masks names and identifiers before prompts are sent. Optional operator auto-remediation uses a configurable risk threshold. CLI, Docker, and operator paths require a reachable cluster and kubeconfig; operator installation requires Helm 3.

Nova AI Ops is a reliability platform combining monitoring, incident response, communication, and automation. It brings metrics, logs, traces, and events into one view with signal correlation and Golden Signals dashboards. AI agents ingest infrastructure signals, investigate incidents, and can execute remediation runbooks with confidence scoring. Incident management covers detection, triage, escalation, remediation, on-call scheduling, war rooms, and draft postmortems. High-risk or destructive actions can require human approval. Integrations vary by plan and include Slack, GitHub, Prometheus, cloud providers, databases, CI/CD, and observability tools. Supported agent environments include Linux x86_64, ARM64, ARMv7, macOS Intel and Apple Silicon, Windows x64, and Docker containers. Web and API access are listed. Basic costs $16 per user per month billed annually, or 20 USD monthly; Standard costs 40.00 USD annually billed monthly equivalent. Both advertise a 7-day card-required trial.