How to use this tool

Latency Analysis — Guide

How to benchmark your payment pipeline latency against AWS best-practice baselines, identify bottlenecks, and apply step-specific optimisations.

What is this tool for?

Payment latency is not a single number — it is the sum of nine distinct pipeline steps, each with different baseline performance characteristics and different optimisation strategies. End-to-end P99 latency of 2 seconds could be caused by Lambda cold starts, an over-configured WAF, or gateway processing time. The fix is different for each.

This tool lets you enter your observed P50, P95, and P99 latency for each pipeline step, compares them against AWS best-practice baselines, calculates your SLA budget allocation, and generates a prioritised list of optimisation recommendations.


Step-by-step walkthrough

Step 1 — Set your SLA target
  1. Enter your target P99 end-to-end latency in milliseconds. This is your SLA budget — the total time the entire pipeline can take.
  2. The tool distributes this budget across the nine pipeline steps and shows you how much headroom each step has.
Step 2 — Enter your observed values
  1. For each pipeline step, enter your measured P50, P95, and P99 latency from CloudWatch, X-Ray, or your APM tool.
  2. If you don't have measured values yet, the tool uses the baseline figures so you can see what a well-configured stack looks like.
  3. Steps where your P99 exceeds the SLA budget allocation are highlighted in red.
Step 3 — Review recommendations
  1. The recommendations panel lists optimisations for each breaching step, ordered by estimated impact.
  2. Each recommendation includes the specific AWS configuration change or code pattern to apply.
  3. Export the full analysis as a report to share with your team or include in a performance review.

Pipeline step baselines

Baseline figures represent typical observed values for well-configured AWS eu-west-1 payment workloads. Your values may differ based on instance type, configuration, and traffic patterns.
Browser → CDN / WAFP50: 12ms · P99: 55ms
Enable CloudFront HTTP/3, review WAF rule groups for over-broad inspection.
CDN → API GatewayP50: 4ms · P99: 22ms
Check throttling limits, switch to HTTP API for 30% lower latency.
API Gateway → Payment ServiceP50: 8ms · P99: 45ms
Use provisioned concurrency on Lambda to eliminate cold starts.
Fraud / Compliance CheckP50: 45ms · P99: 280ms
Use Claude Haiku for latency-sensitive checks, cache low-risk decisions in ElastiCache.
Payment Gateway SDK CallP50: 140ms · P99: 580ms
Reuse HTTPS keep-alive connections, deploy in same region as gateway endpoint.
Gateway Processing TimeP50: 280ms · P99: 1100ms
Mostly outside your control. Monitor per-gateway P95 and negotiate SLA in contract.
DynamoDB WriteP50: 6ms · P99: 28ms
Keep writes in same region. Use condition expressions over read-modify-write.
SQS EnqueueP50: 5ms · P99: 25ms
Use standard queues (not FIFO) for non-ordering-critical paths, 3-5× lower latency.
Webhook ProcessingP50: 35ms · P99: 150ms
Process async. Return HTTP 200 immediately after signature check.

Key terms

P50 / P95 / P99Percentile latency metrics. P50 is the median — 50% of requests complete faster than this. P99 is the 99th percentile — only 1% of requests are slower. P99 is the most important metric for payment UX because it captures the worst 1% of user experiences.
Cold startThe initialisation time when a Lambda function is invoked for the first time or after a period of inactivity. Can add 500ms–2s to P99 latency. Eliminated with provisioned concurrency.
Provisioned concurrencyAn AWS Lambda feature that keeps a specified number of execution environments warm and ready. Eliminates cold start latency for those invocations at the cost of a fixed hourly charge.
SLA budgetThe total latency allowance for your end-to-end payment flow. Distributed across pipeline steps. If your SLA is 2 seconds P99 and the gateway takes 1.1 seconds, you have 900ms left for all other steps.
Keep-aliveHTTP connection reuse. When your Lambda function makes repeated calls to the same HTTPS endpoint (e.g. Stripe API), reusing the TCP connection eliminates the 80–120ms TLS handshake overhead on each call.
X-RayAWS distributed tracing service that records per-step latency for Lambda, API Gateway, DynamoDB, and SQS. The most accurate source of pipeline latency data for this tool.

Frequently asked questions

Ready to analyse your payment latency?
Enter your observed values and get step-by-step optimisation recommendations.