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Confluent for Kubernetes Helps Build A Private Cloud Apache Kafka Service For Data In Motion

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Confluent has announced Confluent for Kubernetes, bringing together the cloud-native advantages learned from Confluent Cloud with the control and customization from self-managing their private infrastructure in on-premises environments.

By reimagining what is possible for private infrastructure with the capabilities of modern cloud computing, it is easier than ever for organizations to build and manage a private cloud Kafka service for moving data across a business.

So whether an organization is transitioning to the cloud or needs to keep workloads on premises, they can take full advantage of Confluent for Kubernetes’ cloud-native capabilities, including a declarative API to deploy and operate Confluent.

The platform also makes moving applications to the public cloud easier by migrating workloads to wherever your business needs them with the ability to connect and share data with Confluent Cloud.

As a cloud-native system, Confluent for Kubernetes intelligently detects if a process fails and will automatically restart processes or reschedule as necessary.

The platform will automatically generate configurations, schedule and run new broker processes, and ensure data is balanced across brokers so that clusters can be efficiently utilized. With the ability to spin up and down Confluent clusters, organizations can control infrastructure costs while quickly scaling to meet their business needs.

Moreover, Confluent for Kubernetes extends the Kubernetes API, enabling organizations to define the desired high-level state of clusters rather than manage all the low-level details.