The invention provides a high-concurrency scene processing method and device based on a Redis and Kafka online snap-up system; the method comprises the following steps: generating a login token basedon a user login request, writing the login token into caches of front-end Cookie and rear-end Redis, checking whether the front-end login token is matched with the rear-end login token; if not, returning an operation failure result; if yes, judging whether the user login token is valid; if not, returning an operation failure result; if yes, judging whether a commodity lock of a corresponding commodity is obtained or not; if not, returning an operation failure result; if yes, pushing request data of snap-up success to a Kafka information queue. According to the method and the device in the invention, loading pressure of a server and a database is effectively reduced through current-limiting peak-clipping processing; a large number of concurrent requests can be borne in short time; the throughput capacity of the cluster is greatly increased; through front-rear end check on the number of user access times, a cheating user can be quickly found out, so that the event is guaranteed to be carried out stably and fairly.