For LiveOps & Platform Teams

Reduce alert noise and strengthen 24x7x365 incident execution.

LiveOps and platform teams do not need more alerts. They need clearer signals, better dashboards, regional visibility, qualified triage, runbook mapping, and consistent incident execution across nights, weekends, launches, and live-service peaks.

Built for

Signal-to-Action Model

1Signals
2Qualification
3Noise Reduction
4Correlation
5Runbook Mapping
Operational Execution

The problem is not always detection. It is execution

Most teams already have tools. The gap is what happens when those tools generate signals around the clock: triage, context, action, validation, documentation, and continuous tuning.

Alert fatigue

Many signals compete for attention without enough qualification or player-impact context.

Fragmented dashboards

Infrastructure, service, release, and player signals often live in separate views.

Regional blind spots

Latency, packet loss, backbone congestion, and regional degradation can surface late.

Repeated issues

Without runbook updates and threshold tuning, incidents keep reappearing.

Operating model

Turn raw signals into actionable incidents

Zumidian reduces alert noise and increases incident quality by qualifying signals, grouping related events, linking actionable incidents to approved procedures, and continuously tuning the operating model.

Signal Sources
MetricsLogsSynthetic checksPing nodesDeployment eventsCustomer reports
Operational Analytics
Infrastructure healthGame-service metricsPlayer-impact signalsDeployment contextAlert historyRunbook execution history
Workflow

More signal. Less noise. Faster action.

  1. 1

    Ingest

    Metrics, logs, synthetic checks, ping nodes, deployment events, and reports.

  2. 2

    Qualify

    Severity, service ownership, environment, region, impact, and certainty.

  3. 3

    Reduce noise

    Duplicate suppression, grouping, transient filtering, and maintenance windows.

  4. 4

    Correlate

    Associate events by service, dependency, cluster, deployment, region, and historical pattern.

  5. 5

    Map runbook

    Link actionable incidents to approved procedures and validation checks.

  6. 6

    Tune

    Refine thresholds, suppression logic, dashboards, and procedures based on review.

Proof

Measured under real live-service pressure

24x7x365
After-hours coverage
Global
Player-impact monitoring
1m 48s
MTTA

Mean time to acknowledge. A human assessing severity and player impact, not an auto-acknowledgement.

2h 21m
MTTVR

Mean time to verified recovery, confirmed against real player-facing signals.

226,378 alerts · 21 customer environments · every alert of every severity · one denominator · 1 Jan 2024 to 31 May 2026 · How we measure

Case studies

Proven in production

Platform-scale operations

Photon

Global multiplayer platform support across cloud and bare-metal infrastructure.

Operational dashboards

SUPERVIVE

Custom dashboards, monitoring coverage, and rapid response for live playtests and open beta.

Long-term live-service operations

Golf Clash

Ongoing GameOps support, Operational Analytics, runbook refinement, and reduced internal burden.

See all nine case studies →

Find the gaps in your live operations coverage

Assess alert quality, dashboard coverage, triage process, regional monitoring, runbook mapping, incident ownership, and recovery validation.