May 2024 Summaries

Workload isolation in cloud computing is a critical practice for enhancing efficiency, security, and compliance by segregating computing tasks into distinct resources or infrastructure. This separation ensures that compromised workloads do not affect others, thereby reducing security risks, enhancing performance by preventing resource competition, and simplifying regulatory compliance. Achieving workload isolation involves various strategies, including resource governance, access control, and network-level isolation. DeltaStream, a serverless stream processing platform, exemplifies workload isolation by enabling each query to run in its dedicated environment using Apache Flink, offering multiple deployment options like dedicated and private SaaS deployments, and employing role-based access control to manage data access. These features ensure secure, performant computational queries while providing assurance that data remains confined within non-shared networks, crucial for maintaining security and compliance in cloud products.

DeltaStream has joined the Connect with Confluent technology partner program, enhancing the processing and organization of Confluent Cloud data streams. This partnership allows organizations to easily manage their streaming data using DeltaStream's fully managed platform, which supports real-time application deployment with simple SQL statements and is powered by Apache Flink. DeltaStream provides a unified view across multiple streaming stores, including Kafka and Kinesis, enabling users to write queries regardless of data location. The platform also facilitates secure data sharing across teams through namespacing, storage abstraction, and role-based access control, simplifying data governance. The integration process with Confluent Cloud has been streamlined with the introduction of a specific "Confluent" Store type, allowing users to manage their data efficiently within DeltaStream.