Enterprise observability

Observability that connects uptime, telemetry, services, and response.

SenalOps is an enterprise observability platform that brings synthetic monitoring, OTLP telemetry, trace detail, SLO burn alerts, service ownership, dependency mapping, verified integrations, observability analytics, incident routing, status pages, and AI-agent monitoring into one operational model.

Synthetic checks

HTTP, TCP, ping, heartbeat, SSL expiry, keyword validation, and AI-agent checks.

Telemetry

OTLP JSON ingestion for logs, metrics, traces, and trace-level debugging.

Service model

Teams, owners, dependencies, SLOs, incidents, reviews, and status pages.

Analytics

Service health scores, SLO burn signals, MTTR, deployment correlations, and root-cause groups.

Integrations

Verified provider status for Slack, PagerDuty, Opsgenie, Jira, GitHub, Datadog, and webhooks.

Governance

Audit exports, tenant lifecycle requests, access controls, rate limits, and error boundaries.

What enterprise observability means

Enterprise observability connects the signals that show something is wrong with the context that explains why and the workflow that fixes it. Instead of separate tools for uptime checks, telemetry, ownership, and incident response, SenalOps models services, owners, dependencies, and SLOs in one place, so every alert arrives with the service it affects and the team responsible for it.

From signal to recovery in one workflow

  1. Synthetic checks and OTLP telemetry detect failures and SLO burn.
  2. Signals map to services, owner teams, and upstream or downstream dependencies.
  3. Incidents route by service, team, and severity with escalation and maintenance suppression.
  4. Analytics show service health, MTTR, deployment correlations, and root cause groups.
  5. Senal Recover restores databases from validated backups when data is affected.
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FAQ

Enterprise observability questions

Is SenalOps only an uptime monitoring tool?

No. SenalOps includes classic uptime monitoring, but it also models services, owners, dependencies, SLOs, burn-rate alerts, telemetry ingestion, observability analytics, incident routing, verified integrations, maintenance windows, audit logs, team access, API keys, AI-assisted post-incident reviews, status pages, and AI-agent observability.

How does SenalOps support OpenTelemetry or OTLP data?

SenalOps provides an OTLP JSON ingestion endpoint for logs, metrics, and traces. Teams can send telemetry, inspect trace detail, connect telemetry to services, and use telemetry-backed SLO burn alerts to detect reliability risk before customers report it.

Does SenalOps include SLO and error-budget monitoring?

Yes. Services can have SLOs with reliability targets, latency thresholds, and rolling windows. SenalOps calculates budget consumption and supports burn-rate alerts so teams can respond before an SLO breach becomes a larger incident.

Does SenalOps support service ownership and dependencies?

Yes. Teams can create a service catalog, assign owner teams, link monitors to services, define upstream dependencies, view downstream blast radius, and connect SLOs and incidents to the services they affect.

What observability analytics does SenalOps provide?

SenalOps provides service health scores, unhealthy service ranking, SLO burn signals, incident trends, MTTR, deployment correlations, and root-cause groups using monitor, telemetry, deployment, SLO, and incident data.

How do integrations work in SenalOps?

Integrations use a verified lifecycle instead of simply saying connected after setup. Providers can be not connected, configured, connected, failed, or disabled. A provider becomes connected only after a successful delivery or, for GitHub, after a valid signed webhook is received.