HashiCorp has patented a security system for cloud computing platforms, featuring special performance standby nodes that can service read-only requests locally without modifying data. These nodes forward write requests to an active node, enhancing data storage efficiency and security. GlobalData’s report on HashiCorp 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 HashiCorp, Grid computing was a key innovation area identified from patents. HashiCorp's grant share as of May 2024 was 23%. Grant share is based on the ratio of number of grants to total number of patents.
Special performance standby nodes for cloud computing security system
A recently granted patent (Publication Number: US12013953B2) discloses a security system designed for a cloud computing platform. The system consists of multiple security service nodes, each equipped with data processors to provide various security services such as secrets protection, user credentialing, authentication, and information access control. One of these nodes is designated as the active node during the startup phase, responsible for executing security services, while others act as standby nodes. Additionally, performance standby nodes are designated to handle read-only requests, forwarding any modification requests to the active node. These performance standby nodes also feature an embedded cache storing cache objects related to the security services, with some objects invalidated by a write-ahead log (WAL) stream from the active node.
Furthermore, the patent details a method for executing security services within this cloud computing platform security system. The method involves designating an active node and standby nodes during the startup phase, with performance standby nodes specifically handling read-only requests and forwarding modification requests to the active node. The system utilizes a write-ahead log (WAL) stream to invalidate certain cache objects in the embedded cache of the performance standby nodes. Additionally, the method includes indexing secrets and data using a Merkle tree, ensuring efficient and secure data management within the cloud computing environment. The cache objects stored in the embedded cache encompass encryption keys, transport layer security certificates, security tokens, and leases, enhancing the overall security and functionality of the system.
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