Confluent Control Center is a management tool that gives operators the visibility and operational strength to manage a Kafka environment. Delivering real time analysis of the performance of Kafka, data teams can drill into topics, producers, consumers and more to understand what’s happening with their data pipelines so they can govern a growing ecosystem of stream data applications.
Apache Kafka is a distributed streaming platform capable of handling trillions of events a day. Initially conceived as a messaging queue, Kafka is based on an abstraction of a distributed commit log. Since being created and open sourced by LinkedIn in 2011, Kafka has quickly evolved from messaging queue to a full-fledged streaming platform.
As a streaming platform, Apache Kafka provides low-latency, high-throughput, fault-tolerant publish and subscribe pipelines and is able to process streams of events. Kafka provides reliable, millisecond responses to support both customer-facing applications and connecting downstream systems with real-time data.