Acquirers monitor your payment authorisation latency. A p99 that drifts above their threshold triggers a performance review conversation you don't want to have — after the problem has already been visible in their reports. Identify the latency bottleneck in your stack before it shows up in someone else's monitoring.
The specific outcomes this tool produces — and the problems it prevents.
Latency percentile modelling per payment flow stage — Lambda cold start contribution, DynamoDB read latency, Secrets Manager API call overhead, processor API response time. A p99 problem identified in a model costs nothing to fix. Identified in a load test, it's a rearchitecting project.
Cold start latency contribution to p99 modelled with and without Provisioned Concurrency. A payment Lambda with no cold start mitigation strategy has a p99 that's fundamentally different from the median — and that difference shows up in acquirer latency reports.
Per-stage latency breakdown surfaces the dominant contributor to overall payment flow latency. Optimise the stage that matters — not the one that's easiest to instrument.
Export a latency analysis report that documents current modelled performance, identified bottlenecks, and prioritised optimisation recommendations. The same document supports an engineering sprint planning session and an acquirer performance review.
Structured inputs. Immediate output. No setup, no waiting, no consultant required.
Map your payment flow stages
Walk through each stage of your payment authorisation flow — API Gateway, Lambda, Secrets Manager, DynamoDB, processor API call, response. Define the sequence and dependencies.
Enter observed or estimated latencies
Input p50 and p99 latency values for each stage from CloudWatch, X-Ray, or estimates. The tool models the cumulative impact on end-to-end payment latency.
Evaluate cold start contribution
Specify Lambda memory allocation, runtime, and whether Provisioned Concurrency is configured. See the cold start latency contribution to p99 at your traffic pattern.
Identify the bottleneck stage
Review the per-stage breakdown showing which stage contributes most to overall p99. Evaluate optimisation options — caching, connection pooling, Provisioned Concurrency, read replica.
Export the latency analysis report
Download a report with the per-stage latency model, bottleneck identification, and prioritised optimisation recommendations ranked by p99 impact.
Available on Scope and above. Export latency analysis reports with Sync.