Pages take longer to load, jobs pile up or the cloud bill keeps growing. A Scale Review starts with those symptoms and the measurements available. We suggest changes and a way to check whether they helped.
Measure the operations people use
User count alone doesn’t describe the load. A frequently refreshed dashboard behaves differently from an occasional page view. We look at common operations, data volumes and when the slowdown occurs.
- Typical traffic and business-driven bursts
- Latency, error rates and queue behavior
- Resource consumption and cost per meaningful operation
Locate the delays
We trace requests through APIs, databases and external services, checking queries, indexes, caches and background work. If measurements are missing, we explain what to collect before choosing a change.
- Query plans, indexing and data transfer
- Cache scope, freshness and invalidation
- Connection limits, retries and asynchronous jobs
Choose changes to try
A more selective query, a smaller response or moving work into a background job may help. We explain the costs and expected benefits. Any load test uses an agreed environment and workload; the result applies to those conditions.
Compare the results
After the changes, we repeat the agreed measurements and compare response times and resource use. We also explain what to monitor as usage grows. Implementation can be included in the work.