Confluent, Inc. announced several new capabilities as part of its Q2 ‘22 launch that deliver granular security, enterprise-wide observability, and mission-critical reliability at scale. These capabilities are increasingly important as more businesses bring their data streaming workloads to the cloud to avoid the operational overhead of infrastructure management.
Ganesh Srinivasan, Chief Product Officer, Confluent, said, “Every company is in a race to transform their business and take advantage of the simplicity of cloud computing,” “However, migrating to the cloud often comes with tradeoffs on security, monitoring insights, and uptime guarantees. With this launch, we make it possible to achieve those fundamental requirements without added complexity, so organizations can start innovating in the cloud faster.”
New role-based access controls (RBAC) enable granular permissions on the data plane level to ensure data compliance and privacy at scale
Data security is paramount in any organization, especially when migrating to public clouds. To operate efficiently and securely, organizations need to ensure the right people have access to only the right data. However, controlling access to sensitive data all the way down to individual Apache Kafka topics takes significant time and resources because of the complex scripts needed to manually set permissions.
Last year, Confluent introduced RBAC for Confluent Cloud, enabling customers to streamline this process for critical resources like production environments, sensitive clusters, and billing details, and making role-based permissions as simple as clicking a button. With today’s launch, RBAC now covers access to individual Kafka resources including topics, consumer groups, and transactional IDs. It allows organizations to set clear roles and responsibilities for administrators, operators, and developers, allowing them to access only the data specifically required for their jobs on both data and control planes.
New 99.99% uptime SLA for Apache Kafka® provides comprehensive coverage for sensitive data streaming workloads in the cloud
One of the biggest concerns with relying on open source systems for business-critical workloads is reliability. Downtime is unacceptable for businesses operating in a digital-first world. It not only causes negative financial and business impact, but it often leads to long-term damage to a brand’s reputation. Confluent now offers a 99.99% uptime SLA for both Standard and Dedicated fully managed, multi-zone clusters. Covering not only infrastructure, but Kafka performance, critical bug fixes, security updates, and more, this comprehensive SLA allows you to run even the most sensitive, mission-critical data streaming workloads in the cloud with high confidence.
Beyond reliability, engineering teams and developers face the challenge of understanding the new programming paradigm of stream processing and the different use cases it enables. To help jumpstart stream processing use cases, Confluent is introducing Stream Processing Use Case Recipes. Sourced from customers and validated by experts, this set of over 25 of the most popular real-world use cases can be launched in Confluent Cloud with the click of a button, enabling developers to quickly start unlocking the value of stream processing.