1. A method comprising: storing pre-deployment performance data associated with a first code set comprising previously approved code executed during a first time period by a testing server and a plurality of production servers processing production data; deploying, by a processing device, a second code set comprising a candidate code set on the testing server; identifying a deployment time associated with deployment of the second code set comprising the candidate code set on the testing server; storing post-deployment performance data associated with the second code set comprising the candidate code set executed during a second time period following the deployment time by the testing server processing production data and the first code set executed during the second time period by the plurality of production servers processing production data; identifying a first average latency data set from the pre-deployment performance data; identifying a second average latency data set from the post-deployment performance data; applying a student t-test to the first average latency data set and the second average latency data set to generate a first statistical comparison value; determining the first statistical comparison value is less than a first test threshold value; applying a linear regression test to the first average latency data set and the second average latency data set to generate a second statistical comparison value; determining the second statistical comparison value is less than a second test threshold value; and causing deployment of the second code set comprising the candidate code set on the plurality of production servers.