113  0 Kommentare Confluent Unveils New Capabilities to Apache Flink Offering to Simplify AI and Bring Stream Processing to Workloads Everywhere - Seite 2

Many organizations are looking for hybrid solutions to protect more sensitive workloads. With Confluent Platform for Apache Flink, a Flink distribution fully supported by Confluent, customers can easily leverage stream processing for on-prem or private cloud workloads with long-term expert support. Apache Flink can be used in tandem with Confluent Platform with minimal changes to existing Flink jobs and architecture.

Confluent Platform for Apache Flink can help organizations:

• Minimize risk with unified Flink and Kafka support and expert guidance from the foremost experts in the data streaming industry.
• Receive timely assistance in troubleshooting and resolving issues, reducing the impact of any operational disruptions to mission critical applications.
• Ensure that stream processing applications are secure and up to date with off-cycle bug and vulnerability fixes.

With Kafka and Flink available in Confluent’s complete data streaming platform, organizations can ensure better integration and compatibility between technologies, and receive comprehensive support for streaming workloads across all environments. Unlike open source Apache Flink which only maintains the two most recent releases, Confluent offers three years of support for every Confluent Platform for Apache Flink release from launch, guaranteeing uninterrupted operations and peace of mind.

Confluent Platform for Apache Flink will be available to Confluent customers later this year.

New auto-scaling Freight clusters offer more cost-efficiency at scale

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Many organizations use Confluent Cloud to process logging and telemetry data. These use cases involve large amounts of business-critical data but are often less latency-sensitive since they typically feed into indexing or batch aggregation engines. To make these common use cases more cost-efficient for customers, Confluent is introducing Freight clusters—a new serverless cluster type with up to 90% lower cost for high-throughput use cases with relaxed latency requirements. Powered by Elastic CKUs, Freight clusters seamlessly auto-scale based on demand with no manual sizing or capacity planning required, enabling organizations to minimize operational overhead and optimize costs by paying only for the resources that they use when they need it.