Confluent. has been granted a patent for a method that facilitates the deployment of multiple clusters across various cloud environments. This process involves receiving deployment requests, configuring clusters based on user-defined standards via a single API, and managing stateful sets with specific lifecycles, including those running Apache Kafka. GlobalData’s report on Confluent gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Confluent, was a key innovation area identified from patents. Confluent's grant share as of June 2024 was 47%. Grant share is based on the ratio of number of grants to total number of patents.
Cloud cluster deployment across multiple environments using api
The patent US11995478B2 outlines a method and system for deploying multiple clusters across various cloud computing environments, specifically focusing on operational actions related to computing devices. The method begins with receiving a deployment request that pertains to a single application programming interface (API) and involves multi-region clusters, which may exhibit varying characteristics in terms of network reliability, latency, bandwidth, and cost. A user interface is presented to allow users to specify deployment standards, which can include component features, dependencies, or properties. The clusters are then configured according to these standards and deployed, with each cluster containing stateful sets that run applications like Apache Kafka, where each pod within these sets has its own lifecycle and state.
Additionally, the patent describes functionalities for storing the specified standards for future deployments, allowing users to set defaults and update them as needed. The method also emphasizes the importance of ensuring that stateful sets are fully available when all pods are in a RUN state. The deployment process can be applied to various cloud environments, including private clouds and Kubernetes environments, and is designed to enhance the performance of the computing devices associated with the clusters. The claims further detail the structure of the stateful sets, including their ordinal indexing and stable network identities, which contribute to the efficient management and deployment of cloud resources.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
