Compare · Robusta
Srenix vs. Robusta
Robusta is an excellent alert-enrichment + investigation tool wrapped around Prometheus. Srenix is an autonomous SRE agent that probes the cluster directly, proposes specific actions, and executes them inside the operator's policy. Both are valuable; they sit at different layers.
| Dimension | Srenix | Robusta |
|---|---|---|
| Where it runs | In your cluster — operator + CronJob + Deployment | In-cluster agent + Robusta SaaS for the AI investigation + dashboards |
| Closed-loop remediation | Yes — 5 policy-bounded fixers + AI-tier proposals on operator approval | Alert enrichment + AI investigation; operator runs the fix manually |
| Triggering surface | K8s probes + analyzers + AWS cloud probes; LLM Investigator on critical findings | Prometheus alerts; runs an investigation playbook per alert |
| LLM provider | Bring-your-own — any OpenAI-compatible endpoint | OpenAI (default) or self-hosted; investigation happens server-side |
| Pricing model | Flat per-cluster (Open Core free / AI SRE Team / Enterprise) | Free OSS + paid SaaS for AI / dashboards / multi-cluster |
| Air-gap / sovereign | Yes — OSS engine and Srenix Enterprise both run entirely in-cluster | OSS yes; SaaS-side AI investigations are hosted |
| Open source | Apache-2.0 engine; commercial AI SRE tier | OSS engine; commercial SaaS |
The structural difference.
Robusta is alert-driven: a Prometheus alert fires, Robusta runs an investigation playbook against the cluster (typically gathering pod descriptions, recent events, logs), and the AI summarises what's happening into Slack. The remediation step is still a human running kubectl, even when the cause is well-known.
Srenix's model inverts the loop. The Srenix engine has its own direct probe surface (21 K8s probes + 30 cloud probes across AWS/GCP/Azure + 20 analyzers) running on a schedule, so it sees drift without needing a Prometheus alert as a trigger. The Srenix Enterprise paid tier adds an LLM Investigator agent that reasons over the probe output, proposes specific action_kinds bounded by the operator's policy, and (on a one-click approval) executes the fix inside the cluster. The audit trail is JWT-signed and hash-chained.
Pick Robusta when your operational layer is centred on Prometheus and you want better Slack messages plus on-demand investigation. Pick Srenix when you want the agent to actually close the loop — detect, propose, approve, execute, re-verify — without an SRE in the critical path for every fix.