A naukri.com initiative
Amazon
1M
389
Image Credit: Amazon
How Claroty Improved Database Performance and Scaled the Claroty xDome Platform using Amazon Aurora Optimized Reads
- Claroty, a cybersecurity solutions provider, has improved database performance and scaled the Claroty xDome platform using Amazon Aurora Optimized Reads.
- Aurora is a highly scalable and high-performance relational database engine that is fully compatible with MySQL and PostgreSQL.
- To address the challenges of its large volumes of data and complex queries, Claroty adopted the Aurora Optimized Reads to significantly reduce the latency associated with I/O operations and temporary storage operations.
- This enabled Claroty to manage the working dataset beyond the memory limitations of even the largest database instances, ensuring that Claroy gained better latency and throughput for queries that sort, join, or merge large volumes of data.
- API requests, which were previously delayed, were now processed more quickly, resulting in significant improvement in query performance.
- Aurora I/O Optimized led to substantial cost savings of 50% reduction in expenses, thereby strengthening Claroty’s ability to provide robust and reliable cybersecurity solutions.
- The adoption of these advanced database features enabled Claroty to overcome performance bottlenecks and reduce operational costs.
- Claroty’s platform provides the deepest asset visibility and broadest, built-for-CPS solution set in the market, comprising exposure management, network protection, secure access, and threat detection.
- The Claroty Platform enables organizations to effectively reduce CPS risk, with the fastest time-to-value and lower total cost of ownership.
- Itay Kirshenbaun is the Chief Architect at Claroty, and Pini Dibask is a Senior Database Solutions Architect at AWS.
Read Full Article
23 Likes
For uninterrupted reading, download the app