GATLING + INFLUXDB
Stream load test metrics into InfluxDB dashboards
InfluxDB shows how your systems behave in production. Gatling adds controlled, repeatable load so New Relic metrics and traces become reproducible and attributable under stress.
With Gatling and InfluxDB, teams investigate p95/p99 spikes, error cliffs, and saturation events directly inside InfluxDB dashboards — using the same workflows they already rely on for production.
Why combine load testing and InfluxDB?
InfluxDB is excellent for production visibility — but production data alone is noisy and hard to reproduce. Gatling introduces timed stimulus: the ability to apply a known workload and observe exactly how the system behaves across services, infrastructure, and dependencies.
Combining Gatling with InfluxDB lets teams:
reproduce p99 inflation with controlled concurrency
correlate Gatling percentiles with InfluxDB traces and infra KPIs
isolate bottlenecks across edge, gateway, services, and dependencies
validate regressions across releases using repeatable traffic profiles
Load testing alone shows symptoms like slow response times, but not where time is actually spent. Observability alone shows production behavior, but doesn’t reproduce failure conditions on demand. When you correlate both, you can trace performance across every layer under controlled load. That’s what makes results actionable.
Mateusz Piasta
Inpost
CORRELATION UNDER LOAD
What Gatling unlocks inside InfluxDB
Controlled load turns observability from monitoring into diagnosis.
Reproducible performance investigations
Replay workloads and compare InfluxDB telemetry across runs.
Measured system limits, not assumptions
Quantify saturation thresholds visible in InfluxDB.
Continuous regression signals
Track performance drift across builds directly in InfluxDB.
Bottleneck attribution across layers
Correlate p99 spikes with InfluxDB traces and infra data.
INSTALLATION GUIDES
Getting started with our observability integrations
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Minimal features, for local use only
