Confluent Sets Data in Motion Across Hybrid and Multicloud Environments for Real-Time Connectivity Everywhere
Confluent, Inc. (NASDAQ: CFLT) has launched Cluster Linking as part of Confluent Platform 7.0, enhancing data connectivity across hybrid and multicloud environments. This feature enables organizations to stream data securely and reliably, overcoming challenges posed by siloed data systems. With a growing number of enterprises adopting hybrid infrastructures, which Ventana Research estimates to reach 75% by 2023, Cluster Linking addresses real-time data syncing issues that traditionally slow down operations. Cloud-native management capabilities and cost-efficient monitoring solutions are also introduced.
- Cluster Linking enhances data connectivity across hybrid and multicloud environments.
- Addresses real-time data syncing issues for organizations with siloed data.
- New cloud-native management capabilities improve operational efficiency.
- Cost reduction achieved through Reduced Infrastructure Mode for Confluent Control Center.
- None.
Cluster Linking, now generally available in Confluent Platform 7.0, enables a secure, reliable, and cost-effective bridge for data across hybrid and multicloud architectures
“There's a massive shift to the cloud that is inadvertently creating pockets of siloed data across organizations,” said
Hybrid and multicloud computing are now standard for most businesses. According to
Cluster Linking: Seamlessly Connect Applications and Data Systems Across Hybrid and Multicloud Architectures
“To ensure we are meeting all of our clients’ requirements across virtual and in-person conferences and trade shows, we need to ensure our platform has the scalability and reliability required to run a massive influx of digital experiences without fail,” said
Cluster Linking bridges on-premises and cloud environments, moving data in real time to wherever a business needs it. That includes major cloud providers like AWS,
“Our transformation to a cloud-native, agile company required a large-scale migration from open source Apache Kafka, which was complex and challenging to self-manage,” said
Introducing Confluent Platform 7.0
To enable any business to set data in motion, Confluent Platform 7.0 also features new cloud-native management capabilities and improved cloud-based monitoring for on-premises clusters.
New cloud-native management capabilities for Confluent for Kubernetes
“To continue our journey to the cloud, we needed a platform that would allow us to move workloads gradually while offering the benefits of cloud-native data systems with the control and customization available from managing infrastructure on-premises,” said
With the launch of Confluent for Kubernetes, Confluent made it easier than ever to build and manage a private cloud Apache Kafka® service, whether on VMware Tanzu, Red Hat OpenShift, or other private cloud solutions. In this latest release, organizations can now provision and manage connectors, schemas, and cluster links through the complete, declarative API rather than through manual processes. These new cloud-native management capabilities help organizations reduce operational burdens for their engineering teams and achieve faster time to value with the platform. In addition, Confluent for Kubernetes elastically scales clusters up or down to meet demand through its new Shrink API. This offers greater flexibility as business demands change, enabling teams to cost-effectively handle any data in motion workload without needing to overprovision infrastructure.
New Reduced Infrastructure Mode for
“Being a critical component of our new CRM and Customer 360 solutions, it was essential that we be able to quickly and easily monitor our Confluent clusters to ensure that they are performing efficiently and that there are no failed components,” said
To solve that hurdle, organizations can now leverage Reduced Infrastructure Mode for Control Center to strictly use its management capabilities while offloading monitoring to Confluent Health+. With Health+, organizations can leverage intelligent alerting and cloud-based monitoring capabilities to greatly reduce the risk of cluster downtime and eliminate the need to store monitoring data on-premises. This removes expensive and intensive storage requirements, reducing organizations’ infrastructure monitoring costs by up to
For a look at all the new innovations in Confluent Platform 7.0, check out this blog post: https://www.confluent.io/blog/introducing-confluent-platform-7-0/
Additional Resources
- Learn more about Confluent’s solution for hybrid and multicloud architectures: https://www.confluent.io/use-case/hybrid-and-multicloud/
- See how Confluent is helping its customers transform their businesses: https://www.confluent.io/customers/
- Join Confluent and apply for one of its open positions: https://www.confluent.io/careers/
About Confluent
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion—designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.
The preceding outlines our general product direction and is not a commitment to deliver any material, code, or functionality. The development, release, timing, and pricing of any features or functionality described may change. Customers should make their purchase decisions based upon services, features, and functions that are currently available.
Confluent and associated marks are trademarks or registered trademarks of
Apache® and Apache Kafka® are either registered trademarks or trademarks of the
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