A/B Testing vs Canary Testing

A/B Testing:

A/B testing is a randomized experimentation process in which two or more iterations of variables like web page, page element, etc. are shown to various sections of site visitors at same time to see which version has the greatest impact and drives the most business metrics. Individuals, teams, and corporations can utilize A/B testing to make small adjustments to their consumer experience while gathering data on the results. This enables companies to form hypotheses and discover whether particular aspects of their encounters have an effect on user behavior. You can use A/B testing to test numerous versions of a piece of your webpage until you find the best one. Some say that A/B testing represents a shift in attitude and corporate strategy in some industries.

Canary Testing:

Canary testing, often known as canary release, is an effective method for testing functionality in production with little user impact. Canary testing is a strategy for limiting the impact of production defects to a small percentage of your customers. Typically, two identical production environments were required for canary testing. This does not necessitate the use of two different servers. Canary testing lowers the risk of releasing software, increases flexibility and confidence, and speeds up feature deployment. Canary tests can be performed using blue-green deployments to segregate traffic at the server - side and use a traffic router at the server level to gently roll over traffic from one version of an application to a newer version of an application.

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