Operational Analytics for shared visibility.
Zumidian turns fragmented data into shared visibility for engineering, LiveOps, production, and leadership, so teams can diagnose faster, reduce noise, and make better decisions under pressure.
Built for live-service teams that need one source of truth across infrastructure, game services, releases, incidents, and player impact.
Visibility model
One truth. Role-specific views.
Infrastructure health
Compute, memory, disk, network, containers, databases, queues, autoscaling, and dependency status.
Game-service metrics
Login success, matchmaking health, session creation, API errors, crash rates, disconnects, and backend behavior.
Player-impact signals
CCU, latency, packet loss, failed sessions, transaction failures, regional degradation, and synthetic checks.
Operating context
Deployments, configuration changes, maintenance windows, incidents, annotations, alert history, and runbook activity.
One source of truth, read four ways.
Dashboards inform. Decisions are the outcome
Live games generate data across infrastructure, backend services, player behavior, releases, alerts, logs, synthetic checks, and support channels. That data has to do more than accumulate. It has to explain what is happening, what is affected, who needs to act, and whether recovery has been validated.
Operational Analytics turns scattered signals into a shared operating picture.
Better operations come from clarity, not raw data volume
Teams still argue over what matters, who owns the issue, and what changed.
Signals are organized around decisions, not dashboards.
What Operational Analytics helps prevent
Blind spots
Teams lose time when infrastructure, game-service, release, and player-impact data live in separate views.
Alert noise
Raw alerts without context make it harder to identify what actually requires action.
Stakeholder misalignment
Engineering, LiveOps, production, and leadership need different views of the same source of truth.
Slow diagnosis
Without correlated metrics, teams spend critical minutes connecting symptoms to likely causes.
Measure. Analyze. Tune. Recommend. Review.
Analytics is a loop, not a dashboard handover. Each pass makes the next incident easier to read.
- 1
Measure
Track the signals that show service health, player impact, release stability, and risk.
- 2
Analyze
Identify patterns, recurring issues, noisy signals, weak thresholds, and likely causes.
- 3
Tune
Refine dashboards, alerts, thresholds, annotations, views, and workflows.
- 4
Recommend
Surface improvements to runbooks, monitoring coverage, escalation paths, and reporting.
- 5
Review
Validate outcomes, document lessons, and close the feedback loop after incidents and releases.
What you receive
One operating picture across the signals that matter, with the views each team actually needs.
- Real-time dashboards for live-service operations
- Role-specific views for engineering, LiveOps, production, and leadership
- Infrastructure, game-service, release, and player-impact visibility
- Alert correlation and signal-quality improvement
- Threshold tuning and KPI tracking
- Reporting that turns incidents and alerts into improvement actions
One operating picture across the signals that matter.
Four layers feed the same picture. Each one is useless on its own during an incident, and decisive when read against the other three.
Correlated across
- Engineering: service health and dependency status
- LiveOps: player impact and regional behavior
- Production: release stability and risk
- Leadership: trend, exposure and cost
One truth. Different views for different teams.
Visibility proven under real live-service pressure
Mean time to acknowledge. A human assessing severity and player impact, not an auto-acknowledgement.
Mean time from alert to the resolving action being applied.
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
Built for the moments when someone has to say what is happening, right now. Operational Analytics is most valuable during incidents, launch windows, regional degradation, and the reviews that follow them.
Visibility proven in production
Find out where your visibility is fragmented
Schedule a Game Operations Review to evaluate your dashboards, alert quality, KPI visibility, incident context, player-impact signals, release visibility, and reporting model.
hello@zumidian.com · Month to month. No long-term commitment.