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Results In
Bottleneck Out.

Latencio reads your load test result, pulls the matching window from Prometheus, APM, and logs, and hands you a verdict — the failing service, the reason, and the fix. Skip the dashboard archaeology.

Recommended · 0 setup

Accepts JMeter JTL reports · .jtl or .csv

<60s
from upload to verdict
3
signal layers correlated
0
agents to install
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~ latencio analyze checkout-baseline.jtl
$ latencio analyze checkout-baseline.jtl
$
Live evidence stream
L1JMeter·POST /checkout · p99 4.2s · 1,204 req
L2Prometheus·cpu_usage{svc="catalog"} = 0.94
L3New Relic·TransactionTrace · 2.4s DB
R010SLA_VIOLATION · severity CRITICAL · conf 0.97
L3Loki·{app="inventory-svc"} |= "ConnectionTimeout"
L2Prometheus·container_throttle 38% · 4 pods
R047TAIL_LATENCY · p99/p50 = 18.4×
L1JMeter·GET /search · err_rate 4.8%
L3Jaeger·span auth-svc → db · 1.8s wait
L2CloudWatch·RDS CPUUtilization 91%
R023GC_PRESSURE · old-gen 3.1GB · pause 480ms
L3Datadog·apm.span.duration · checkout-svc 2.9s
L1JMeter·POST /checkout · p99 4.2s · 1,204 req
L2Prometheus·cpu_usage{svc="catalog"} = 0.94
L3New Relic·TransactionTrace · 2.4s DB
R010SLA_VIOLATION · severity CRITICAL · conf 0.97
L3Loki·{app="inventory-svc"} |= "ConnectionTimeout"
L2Prometheus·container_throttle 38% · 4 pods
R047TAIL_LATENCY · p99/p50 = 18.4×
L1JMeter·GET /search · err_rate 4.8%
L3Jaeger·span auth-svc → db · 1.8s wait
L2CloudWatch·RDS CPUUtilization 91%
R023GC_PRESSURE · old-gen 3.1GB · pause 480ms
L3Datadog·apm.span.duration · checkout-svc 2.9s

How it works

One judgment from three signal layers.

A complete root cause needs all three. We pull them in parallel, align timestamps, and run them through a deterministic rule engine.

L1 · LOAD TEST
What was slow?
Per-request timings, error rates, throughput curves.
JMeterLIVE
+ more integrations coming soon
L2 · INFRA
Where was the stress?
CPU, memory, threads, GC, container throttle — sliced by service.
PrometheusLIVE
+ more integrations coming soon
L3 · APM + LOGS
Why did it fail?
Slow DB queries, downstream latency, log spikes — the last mile.
Coming soon
+ more integrations coming soon

The pipeline

Deterministic. Auditable. No black box.

01
Ingest
Auto-detect services from URL patterns
02
Profile
Percentiles, throughput, error patterns
03
Detect
SLA breaches, tail latency, degradation
04
Correlate
Cross-signal across infra, APM, logs
05
Verdict
Ranked findings + action plan

Drop a result. Get a verdict in 60 seconds.

Upload any load test result. We correlate it against your infrastructure and hand you the root cause.

Accepts JMeter JTL reports · .jtl or .csv