About Latencio

We turn raw load test output into a verdict your team can act on.

Three layers of observability, a deterministic rule engine, and five analysis phases. The pipeline runs in under a minute and explains every conclusion with evidence.

< 60s
Time to verdict
5
Analysis phases
3
Signal layers
INPUTSENGINE · 5 PHASESOUTPUTSL1 · LOADJMeter / k6 / GatlingL2 · INFRAPrometheus / CloudWatchL3 · APMNew Relic / DatadogP1 · Statistical profilingP2 · Threshold detectionP3 · Pattern recognitionP4 · Cross-signal correlationP5 · Root cause rankingVERDICTPASS / WARN / FAILFINDINGSRanked by impactREPORTEngineer + manager
The problem

Load tests finish fast. Analysis doesn't.

Hours of dashboard archaeology

After every run, engineers pivot between Grafana, APM, and logs by hand.

Latencio · 2–4 hours

No statistical answer on regression

Spreadsheet diffs of P99 don't tell you if the change is real.

Latencio · p < 0.01

Reports stakeholders can't read

P99 and throughput don't translate to capacity or risk.

Latencio · 1-click

What a finding looks like

Every claim is backed by a specific data point.

finding · R039 · confidence 0.94
CRITICAL
service order-svc
p99 3,100 ms (sla 3,000 ms)
cpu 92% [prometheus]
span inventory.find_by_sku 2,400 ms [new relic]
logs ConnectionPoolExhausted @ 14:23:01 [loki]
→ root_cause DB connection pool undersized for tested concurrency

Verdict in under 60 seconds

Upload any result file — get PASS / WARN / FAIL with evidence.

Deterministic, no black box

Every conclusion is traceable to a specific rule, data point, and timestamp.

Regression detection

Mann-Whitney U test filters statistical noise across any two runs.

Two audiences, one analysis

Engineer drill-down + manager-ready summary, generated together.

How it works

Three signal layers. One complete picture.

A single data source only tells part of the story. Latencio aligns all three layers on a shared timeline to pinpoint the actual root cause — not just a symptom.

L1Load Test Results

JMeter · k6 · Gatling · Locust

What was slow?

  • Per-request response times
  • Error rates by endpoint
  • Concurrency vs latency curve
  • Throughput over time
L2Infrastructure Metrics

Prometheus · CloudWatch

Where was the stress?

  • CPU & memory saturation
  • GC pause time & frequency
  • Thread / connection pools
  • Container CPU throttle
L3APM Traces & Logs

New Relic · Datadog · Jaeger · Loki

Why did it happen?

  • Slow DB queries from spans
  • Downstream service latency
  • Error log spikes
  • Connection pool exhaustion

Upload a result. Get a verdict.

No agent to install. No dashboard to configure. Drop any load test file and see the analysis in under 60 seconds.