oneinfra vs everyone else.
We compared ourselves to the seven AI-SRE / K8s observability tools buyers ask about most: Resolve.ai, Sherlock.ai, Metoro.io, Komodor, Cleric, Causely, and k8sgpt. 27 capabilities, public marketing as of today. Disagree with a cell? Email us and we'll fact-check it together.
| Capability | oneinfraus | Resolve.ai | Sherlock.ai | Metoro.io | Komodor | Cleric | Causely | k8sgpt |
|---|---|---|---|---|---|---|---|---|
| Data Sovereignty & Deployment | ||||||||
| Self-hosted / runs in your VPC | ● | ○ | ○ | ○ | ◐ | ○ | ◐ | ● |
| Open source / source-available | ● | ○ | ○ | ○ | ○ | ○ | ○ | ● |
| Bring-your-own LLM (OpenAI/Anthropic/Bedrock/self-hosted) | ● | ◐ | ◐ | ○ | ◐ | ◐ | ◐ | ● |
| Air-gapped / fully offline operation | ● | ○ | ○ | ○ | ○ | ○ | ◐ | ● |
| Try the live product without booking a demo | ● | ○ | ○ | ◐ | ◐ | ○ | ○ | ● |
| AI Investigations | ||||||||
| AI root-cause investigations | ● | ● | ● | ◐ | ◐ | ● | ● | ◐ |
| Named specialized agents (on-call, cost, investigation, SLO, code) | ● | ◐ | ◐ | ○ | ○ | ◐ | ○ | ○ |
| BlastRadius / dependency-graph impact analysis | ● | ◐ | ◐ | ◐ | ◐ | ◐ | ● | ○ |
| Verifier reranker (AI quality gate) | ● | · | · | ○ | ○ | · | · | ○ |
| Auto-draft fix as PR / MR | ● | ● | ◐ | ○ | ◐ | ◐ | ○ | ○ |
| Investigation Workbench (3-col evidence + scratchpad) | ● | ○ | ○ | ○ | ○ | ○ | ○ | ○ |
| Post-mortem auto-generator | ● | ○ | ○ | ○ | ○ | ○ | ○ | ○ |
| Cost & FinOps | ||||||||
| OpenCost-style allocation per workload | ● | ○ | ○ | ◐ | ● | ○ | ○ | ○ |
| Multi-cloud cost (AWS + GCP + Azure) | ● | ○ | ○ | ◐ | ◐ | ○ | ○ | ○ |
| Cost anomaly detection | ● | ○ | ○ | ◐ | ● | ○ | ○ | ○ |
| SLOs & Alerting | ||||||||
| Pyrra-native SLOs + burn watchers | ● | ○ | ○ | ○ | ◐ | ○ | ◐ | ○ |
| Trust budgets (gating auto-actions) | ● | ○ | ○ | ○ | ○ | ○ | ○ | ○ |
| AI alert suppression | ● | ◐ | ◐ | ○ | ◐ | ◐ | ◐ | ○ |
| Slack threaded investigation replies | ● | ● | ◐ | ◐ | ● | ● | ◐ | ○ |
| Integrations & Multi-cluster | ||||||||
| MCP — open tool integration spec | ● | ○ | ○ | ○ | ○ | ○ | ○ | ○ |
| PagerDuty + Opsgenie + incident.io native sinks | ● | ● | ◐ | ◐ | ● | ◐ | ◐ | ○ |
| Multi-cluster federation | ● | ● | ● | ● | ● | ◐ | ◐ | ◐ |
| Agent install for firewalled clusters | ● | ○ | ○ | ○ | ● | ○ | ○ | ○ |
| Architecture & Security | ||||||||
| eBPF observability | ● | ○ | ○ | ● | ○ | ○ | ● | ○ |
| Public eval harness (we measure ourselves) | ● | ○ | ○ | ○ | ○ | ○ | ○ | ○ |
| OTLP audit log | ● | · | · | ● | ● | · | · | ○ |
| SOC 2 ready architecture | ● | ● | ● | ● | ● | ● | ● | ○ |
Three differences competitors can't paper over.
Self-hosted by default
Resolve, Sherlock, Cleric, Causely all want your telemetry in their cloud. oneinfra and k8sgpt are the only ones that run entirely in your VPC. Combined with bring-your-own-LLM and air-gapped support, this clears security review in days, not quarters.
Five named agents, not one generic "AI"
Resolve markets three agents. We have five — and each one has explicit scope, explicit tools, and explicit handoffs. Buyers who've shipped agent systems know: "AI" is not a product. Specialized agents with handoffs are.
Multi-cloud cost, not just K8s metrics
The pure-K8s tools (Komodor, Causely, k8sgpt) show pod metrics but no $ — your CFO can't act on that. The SaaS tools (Resolve, Sherlock) don't touch cost at all. oneinfra unifies AWS Cost Explorer, GCP Billing, and Azure Cost Management into one workload-level view.
Put an AI SRE on every cluster.
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