In order to achieve the agility and speed demanded by the market, companies must be able to process data in real time, react to it, and make the data available to any number of processing systems or users.
Most organizations are faced with a flood of data coming from (new) applications, websites, the IoT and more. The ideal architecture most people imagine is a clean, optimized system. This enables companies to capitalize on all of the data. There are many different uses for this.
Event-driven data evaluation, e.g. for fraud detection in banking or the processing of large amounts of data for swarm intelligence.
Loose coupling or decoupling of legacy applications and modern applications with Kafka as a common event streaming platform.
Creation or expansion of micro services architecture.
Realization of dynamic analytics applications, e.g. for machine learning.
Migration or merging old applications, e.g. in M & A scenarios: By storing the data from the old application in Kafka, the target applications can access them at any time and permanently.
Confluent – Apache Kafka
Confluent Platform improves Apache Kafka by expanding its integration capabilities and complementing it with tools to optimize and manage Kafka clusters, as well as methods to ensure the safety of streams. Confluent Platform makes Kafka easier to develop and operate. Confluent Open Source is free to download, while Confluent Enterprise is available as a subscription.
Central cluster management via Universal Control Plane (UCP).
Use of Docker Swarm and Kubernetes possible and interchangeable in operation.
Certified Kubernetes distribution.
Docker Trusted Registry (DTR) including security scan of the images.
OS independent (SLES, RHEL, CentOS, Ubuntu, Windows).
Microsoft Windows hosts as a Worker possible.
How do we support you?
When planning and implementing your Kafka Cluster in close collaboration with our partner Confluent.
When implementing the solution designed for you.
When adapting the chosen solution to your specific needs.