Logit Improves Platform Speed Between 5x to 10x With NVMe Disk Upgrade
July 16, 2020
Logit Log Management & Cloud Monitoring Users Can Now Benefit From Having Their Elastic Stacks Hosted On NVMe.
Log management and analysis platform, Logit, has announced that their improved NVMe (Non-Volatile Memory Express) SSDs backed infrastructure is in place for all Elastic Stacks hosted on the platform.
According to the company, users can now enjoy ideal cloud infrastructure thanks to a disaggregated NVMe storage built for scalability at the lowest total cost of ownership (TCO) possible. Average Elasticsearch & Kibana query response times are seeing speed improvements between 5x to 10x faster as a result of this migration to NVMe backed disks.
This is offered free of charge to all users as of the end of June 2020.
Also, according to the company, NVMe backed SSDs are faster than the previously used SSDs by around 480,000 IOPs (Input/Output Operations Per Second) providing an improvement on the 50,000 IOPs used previously by standard SSDs.
NVMe provides advantages over legacy protocols as it reduces the occurrence of bottlenecks. NVMe has been shown across many enterprise use cases to increase the reliability of large file transfers, reduce latency, and also allow users lightning-fast access to their parsed log data. According to the company, NVMe SSDs deliver 4x lower latency & read performance when compared to commonly used SATA SSDs & compared to standard U.2 SSDs provides 6x the front-accessible storage system density.
One notable use case for NVMe is its ability to support real-time big data analysis. This feature allows IT leaders to gain insights on mission-critical operations at ideal speeds for cybersecurity as part of a comprehensive SIEM platform.
The new NVMe infrastructure Logit has put into place is just one of the latest measures they've implemented to ensure industry-leading hybrid cloud log management and analysis for IT leaders, business analysts & DevOps requiring reliable and compliant analytics & container monitoring.
For more information, visit: https://logit.io/