AWS DevOps Agent vs K8sGPT
AWS DevOps Agent
aws.amazon.comK8sGPT
k8sgpt.aiSide by side
| Figure | AWS DevOps Agent | K8sGPT |
|---|---|---|
| Price from | $0.01/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · AI DevOps Assistants | 8.2 (#7) | 7.9 (#10) |
| Integrations | AWS lists built-in integrations including CloudWatch, Dynatrace, Datadog, Grafana, New Relic, Splunk, Azure DevOps, GitHub, GitLab, ServiceNow, PagerDuty, and Slack. | Documented integrations include Prometheus, Trivy, Kyverno, KEDA, and AWS. |
| Purpose | AWS DevOps Agent reviews code for release readiness, runs release tests, investigates incidents, provides root-cause analysis and mitigation steps, and recommends ways to prevent recurring issues. | K8sGPT scans Kubernetes clusters with SRE-grade analyzers and explains problems in plain English. |
| Support | Customers can escalate an investigation to AWS Support with its context, and paid AWS Support plans provide monthly DevOps Agent credits based on support charges. | The site points users to community office hours and Slack. |
Plans
In their own words
AWS DevOps Agent
AWS DevOps Agent has no write-up on Specifiction yet; its figures are above.
K8sGPT
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.