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P2 case_file

Temporary Capacity Doubling for a High-Traffic Load Test

Capacity planning with full performance evidence

Status

Completed

Timeframe

Pre-event UAT performance window

Environment

UAT search and distributed database stack

Capacity Planning Performance Cloud Change Management

Context

A UAT environment needed to run a representative stress test before a high-traffic event, but its standard capacity was not enough to model the expected load.

Problem

The test needed more capacity for a short window, while leaving the environment permanently oversized would create unnecessary cost.

My role

Coordinated the temporary capacity change, the performance window and the verified return to the baseline footprint.

Technical actions

  1. [01] Increased the relevant search/indexing and distributed database capacity to twice the baseline.
  2. [02] Coordinated the change window with the performance and business stakeholders.
  3. [03] Measured CPU, memory, latency, errors, throughput, cache behavior and overall service behavior.
  4. [04] Returned the environment to its normal capacity after the test.

Operational impact

The stress test passed without issues. The temporary capacity increase provided a representative test profile without leaving permanent overprovisioning afterward.

Evidence

  • [✓] Capacity doubled for the test window.
  • [✓] Performance signals measured across compute, latency, errors, throughput and cache behavior.

What this demonstrates

  • Capacity planning tied to a concrete business event.
  • Performance testing with broad operational evidence.
  • Cost-aware temporary scaling.

Why this matters

A load test is only useful when the environment can represent the event it is meant to model. Temporary scaling makes the test meaningful while keeping the steady-state footprint under control.