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Optimizing NSX Performance Based on Workload
Overview
Performance tuning, in general, requires a holistic view of the application traffic profiles, features leveraged and the criteria for performance from the application perspective. In this blog, we will take a look at some of the factors to consider when optimizing NSX for performance.
Applications
In a typical data center, applications may have different requirements based on their traffic profile. Some applications such as backup services, log files and certain types of web traffic etc., may be able to leverage all the available bandwidth. These long traffic flows with large packets are called elephant flows. These applications with elephant flows, in general, are not sensitive to latency.
In contrast, in-memory databases, message queuing services such as Kafka, and certain Telco applications may be sensitive to latency. These traffic flows, which are short lived and use smaller packets are generally called mice flows. Applications with mice flows are not generally bandwidth hungry.
While in general, virtual datacenters may be running a mixed set of workloads which should run as is without much tuning, there may be instances where one may have to tune to optimize performance for specific applications. For example, applications Continue reading