P95 latency that used to drift past 100ms during peak now holds the target, and the trading desk stopped routing around the platform. Here is the network-to-serialization program that got them there.
A trade request crosses the network between instances, hits a CPU that may not be scheduled cleanly, gets serialized and deserialized.
A load test on a quiet afternoon against half the real traffic, on differently configured instances, tells you almost nothing about peak behavior.
Plenty of teams assume the public cloud simply cannot do low latency. The evidence says otherwise.
Start where the biggest, cheapest wins usually are. Deploy with AZ awareness so chatty services are not paying cross-AZ round trips for every hop.
Right-size the instances with the vCPU and memory the workload actually needs, then make the machine deterministic.
JSON is rarely the right format for a latency-critical path. It is verbose, slow to parse, and you pay for it on every message.
Stand up a load-test environment that mirrors production and runs continuously, so every future change is measured against the real latency profile before it ships.
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