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.
- Scenario timeline
- Workload versions
- Live cockpit
- Comparison overlay
- Scheduled baselines
Load Profile Wizard
Author scenarios with phases, templates, and per-platform tuning - no scripts.
Explore Load Profile Wizard
SUT Monitoring
Bind infrastructure counters to every test so capacity correlates with system health.
Explore SUT Monitoring
Sync
GitOps for capacity baselines - version every scenario, diff before sync.
Explore Sync
Alerting
Threshold breaches escalate via email, webhook, SMS, WhatsApp - proactively.
Explore Alerting
Two focused pages go deeper on sizing, and on the days that actually test it.
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.
