Source: thenewstack.io
Avesha Deploys Machine Learning for More Efficient Load BalancingCategory: Business, Kubernetes, artificial-intelligence
LaunchDarkly is sponsoring our coverage of KubeCon+CloudNativeCon 2021. When Raj Nair founded low balancing company Arrowpoint Communications 20 years ago, load balancing was done based on some simple formulas.
Two years ago, he returned to the low balancing challenge, this time as the founder of Avesha.
Avesha is deployed with an agent that sits in its owner container inside a cluster or private cloud.
In internal studies, Avesha has seen improvements of 20% to 30% in the number of requests that are handled within their performance targets compared to standard weighted round-robin— approaches.
Two years ago, he returned to the low balancing challenge, this time as the founder of Avesha.
Avesha is deployed with an agent that sits in its owner container inside a cluster or private cloud.
In internal studies, Avesha has seen improvements of 20% to 30% in the number of requests that are handled within their performance targets compared to standard weighted round-robin— approaches.
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