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Infra Analytics
Full visibility, zero guesswork
Monitor, debug, and understand your infra with metrics, releases, and
logs
Why Statsig for
infra analytics?
Get visibility into infra performance by combining real-time metrics,
logs, traces, and alerts in a unified platform built for root cause
analysis. Then manage releases with integrated flags to tie incidents
directly to changes
Debug in one central platform
Query logs, metrics, traces, and alerts from the same place—no context-switching or stitching together partial tools
Production-grade, proven at scale
Built to ingest billions of events per day, Statsig supports OpenTelemetry and native SDKs to handle high-volume, high-cardinality infra data
Operational context
Identify which rollouts, experiments, or feature flags caused an incident with causal analysis on your infrastructure metrics
Ingest data your way
Send high-volume telemetry through OpenTelemetry or Statsig's SDKs. Statsig is built to scale with your infra, and surprisingly affordable
Configure alerts that fit your system
Set up customized alerts on any metrics you've set up in Statsig. Define thresholds, groupings, and mute conditions, then get notified
Tie incidents to rollouts
Statsig tracks every rollout, experiment, and flag, so you can tie changes to incidents without digging through recent deployments
Debug with powerful logs
Search through logs to surface critical issues instantly. Diagnose issues at scale without ever switching tools
There was a pivotal moment when engineers started to realize:
I can measure the magnitude of change in user behavior that happened
because of something I did!
Todd Rudak
Director, Data Science & Product Analytics
We've successfully launched over 600 features by deploying
them behind Statsig feature flags, enabling us to ship at an
impressive pace with confidence
Wendy Jiao
Staff Software Engineer
All testing and iterations for our flagship news feed release
were carried out using Statsig. It played a crucial role in helping
us make key decisions about how the feed should look
Don Browning
SVP, Data & Platform Engineering
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