Plan capacity that survives launch day.
LoadGen turns capacity planning from spreadsheet guesswork into a measured engineering practice — scenarios, baselines, and live breakpoint detection on every platform you ship.
Active Test · Storefront-Spike-2026Q2
Live cockpit · phase timeline · breakpoint detection.
Threshold breached at 1247 VU · p95 1820ms · 18 err/s. Capacity ceiling identified — plan upgrade headroom before the next launch.
The Problem
Spreadsheets fail under spike load.
The questions a release engineer needs to answer the night before launch don’t come from a Confluence page. They come from a stack that has already been pushed past its limit.
Capacity guesses kill release confidence.
A spreadsheet of last quarter’s peak doesn’t tell you what 1,500 concurrent users on a new release will actually do to your stack.
Stress tests in isolation miss real-traffic shape.
Linear ramps prove a stack can climb. They don’t prove it can absorb a spike, sustain a soak, or recover from a partial outage.
Last-minute breakage reaches production.
When capacity drift only surfaces during launch week, your only options are roll back or scale up under fire — both expensive.
How LoadGen solves this
Capture · Simulate · Analyze · Optimize.
Four motions, executed in parallel by the same engine — not a sequence of disconnected tools.
Capture
Import real traffic shapes from production telemetry. Build a baseline scenario in the editor — Idle, RampUp, Sustain, Spike.
Simulate
Replay the scenario at 1×, 2×, and 4× projected load. Phase-based execution, live cockpit, multi-agent virtual users.
Analyze
Overlay up to 5 runs in the comparison view. Drill from KPI summary into Moments, Errors, and per-step measurements.
Optimize
Identify the breakpoint, raise the SLA budget, schedule recurring baselines. Re-run on every release to catch drift early.
Live · Active Test
See the breakpoint as it happens.
The live cockpit shows phase-by-phase concurrency, error rate, and p95 latency in real time — the moment you cross the SLA budget, the stack tells you exactly which phase did it.
Outcomes · before / after
Replace guesswork with measured headroom.
Drawn from the average improvement teams report after the first three release cycles on LoadGen.
Before
14 days
After
2 hours
Before
3.2
After
0.4
Before
38 %
After
92 %
Before
6
After
1
Capacity → Platform
Four features. One capacity practice.
Capacity planning isn’t a feature — it’s the way these four features compose. Click into any one to see the surface that supports it.
- /config/scenarios— Scenario timeline
- /config/workloads— Workload versions
- /testing/active— Live cockpit
- /testing/results— Comparison overlay
- /testing/schedules— Cron baselines
Load Profile Wizard
Author scenarios with phases, templates, and per-platform tuning — no scripts.
/features/load-profile-wizard
SUT Monitoring
Bind infrastructure counters to every test so capacity correlates with system health.
/features/sut-monitoring
Sync
GitOps for capacity baselines — version every scenario, diff before sync.
/features/sync
Alerting
Threshold breaches escalate via email, webhook, SMS, WhatsApp — proactively.
/features/alerting
Stop planning capacity in spreadsheets.
Run your first scenario this afternoon. Compare the next five releases against it. Ship the sixth without the launch-day adrenaline.
