All use cases
TOOL CONSOLIDATION

Replace Datadog, PagerDuty, Splunk, and a dozen more with one platform

12+ monitoring and incident tools each cost six figures per year and force engineers to context-switch through every page.

"When I look at our SRE stack, I want one platform that does monitoring, alerting, on-call, runbooks, and post-mortems, so the team works in one tool instead of twelve."

The problem

The modern SRE stack has accumulated layers: Datadog for metrics, Splunk or Sumo for logs, PagerDuty for paging, OpsGenie for routing, Grafana for dashboards, Confluence for runbooks, Jira for postmortems. Each is six figures per year. Each has its own auth, its own UI, its own tagging. During an incident, the on-call jumps through five of them. Worse, the seams between them are where context gets lost: the alert fires in Datadog, pages out via PagerDuty, gets ack'd in Slack, but the runbook is in Confluence and the postmortem is in Jira.

How Nova solves it

Nova is one platform for the whole loop. Same auth, same UI, same tags, same data model from alert to postmortem.

  1. Unified telemetry pipeline

    Metrics, logs, traces, and events land in one store with consistent tagging. OpenTelemetry-native ingest means no re-instrumentation when you migrate.

  2. Alerts, on-call, and runbooks under one roof

    Alerts route to the on-call schedule, the on-call sees the runbook in-line, and the action they take is logged for the postmortem, all without leaving the page.

  3. Per-service unit economics that win

    Datadog charges per host, per metric, per log, per APM container. The combined per-service spend across a stack of 5-12 tools is 4-7x what a unified platform costs.

Teams that consolidate onto Nova retire 8-12 separate tools, save $200K-$2M annually depending on scale, and reduce 'where do I look for X' tax to one URL.

Try this on your stack

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