Source: devops.com
Granulate Applies AI to Linux Server OptimizationCategory: automation, artificial-intelligence
Granulate today announced that a platform that leverages machine learning algorithms to optimize Linux server environments running on-premises or in the cloud is now generally available. The Granulate platform employs agents, dubbed gAgents, that install machine learning algorithms to continuously optimize deployments across a server environment, said company CEO Asaf Ezra.
That capability not only enables IT teams to reduce costs by 60% but it also results in a 40% improvement in response times and a 5X improvement in overall throughput without any changes to application code being required, he said. According to the company, more than 40,000 instances of gAgent have already been deployed by IT teams at PicsArt, Perion, AppsFlyer and Coralogix.
Once a level of trust is established, many of the tedious tasks that IT teams that once were performed manually are either eliminated or, at the very least, reduced sharply.
That capability not only enables IT teams to reduce costs by 60% but it also results in a 40% improvement in response times and a 5X improvement in overall throughput without any changes to application code being required, he said. According to the company, more than 40,000 instances of gAgent have already been deployed by IT teams at PicsArt, Perion, AppsFlyer and Coralogix.
Once a level of trust is established, many of the tedious tasks that IT teams that once were performed manually are either eliminated or, at the very least, reduced sharply.
Related Articles
Community Partners
DevOps Careers