Senal Ops helps SaaS and AI teams move from basic uptime checks to operational proof: uptime monitoring, AI-agent correctness checks, service ownership, incidents, status pages, audit logs, reports, and validated database recovery.
Hey Product Hunt,
I am launching Senal Ops because the reliability problem has changed.
For a long time, monitoring meant one simple question:
"Did the endpoint respond?"
That question still matters, but it is not enough anymore.
AI products can be up and wrong.
Agents can work correctly while silently doubling cost.
Teams can have backups without knowing whether restore actually works.
Founders can pass early uptime checks, then lose enterprise trust because they cannot show incidents, ownership, audit logs, reports, or recovery evidence.
Senal Ops is built around a stronger idea:
**Proof beats alerts.**
The product brings together:
- Uptime and synthetic monitoring
- AI-agent correctness checks
- Agent run telemetry for latency, tokens, cost, tool spans, and failures
- Multi-region probing
- Endpoint discovery for coverage gaps
- Service ownership and SLO workflow
- Incidents, routing, status pages, and post-incident reviews
- Verified Slack, email, SMS, and webhook integrations
- Audit logs and reliability reports
- Senal Recover for PostgreSQL, MySQL, Supabase, and Firebase Firestore backup and restore readiness
The goal is not to replace every deep observability tool on day one.
The goal is to give SaaS and AI teams one practical control plane for the reliability evidence customers, teams, and enterprise buyers increasingly expect.
I would love feedback from founders, SREs, DevOps teams, AI builders, and anyone who has ever had a dashboard say "green" while the product was clearly not fine.
What reliability proof do customers ask you for before they trust your product?
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