Why developers use Confluent to manage Apache Kafka
Imagine you are getting groceries delivered, or looking for a recommendation on what to watch next on TV, or using a credit card without worrying too much about fraud. The applications that power these interactions all rely on data in motion, and there’s a decent chance Apache Kafka powers the applications.More than 80% of the Fortune 100 use Kafka as the event streaming substrate to power real-time, user-facing applications and software-driven back ends. Kafka has become the go-to for any organization looking to integrate increasingly diverse portfolios of applications and microservices through immutable event logs rather than mutable data stores. The benefits are manifold, but recall that Kafka is a distributed system, and volunteering to operate a distributed system yourself is an increasingly controversial choice.To read this article in full, please click here
Imagine you are getting groceries delivered, or looking for a recommendation on what to watch next on TV, or using a credit card without worrying too much about fraud. The applications that power these interactions all rely on data in motion, and there’s a decent chance Apache Kafka powers the applications.
More than 80% of the Fortune 100 use Kafka as the event streaming substrate to power real-time, user-facing applications and software-driven back ends. Kafka has become the go-to for any organization looking to integrate increasingly diverse portfolios of applications and microservices through immutable event logs rather than mutable data stores. The benefits are manifold, but recall that Kafka is a distributed system, and volunteering to operate a distributed system yourself is an increasingly controversial choice.
