HealR vs K8sGPT

HealR is AutonomOps AI’s platform for incident response, predictive monitoring, and intelligent operations. Its Agentic War Room automates incident investigation through a five-step workflow. The platform lists anomaly detection using ARIMA, Isolation Forest, and Prophet, as well as natural-language queries for logs and metrics. It maps service topology and dependencies and analyzes an incident’s blast radius in real time. Listed integrations include Prometheus, Grafana, Kubernetes, Datadog, PagerDuty, Slack, OpenTelemetry, and Terraform. A REST API supports metrics, incident analysis, and response workflows, with SDKs for several programming languages. Listed security features include AES-256 encryption at rest, TLS 1.3 in transit, MFA, SAML SSO, and role-based access control. The free Starter plan allows one data source integration, 100 Agent Chat queries and three War Room sessions per month, with seven-day data retention. Professional costs $199 per month; Unlimited costs $399 per month. A 14-day free trial does not require a credit card. Enterprise offers on-premise or VPC deployment, but its price is custom.

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.