4. Google Kubernetes Engine support from day one
Google Kubernetes Engine (GKE) supports Tau VMs, helping you optimize price-performance for your containerized workloads. You can add T2D nodes to your GKE clusters by specifying the T2D machine type in your GKE node pools.
This is useful if you’re leveraging GKE’s cluster autoscaler, for example, which resizes the number of nodes in a given node pool, based on the demands of your workloads (another example of horizontal scaling). You specify a minimum and maximum size for the node pool, and the rest is automatic. T2D VMs in this case would provide scale-out performance and low latency during autoscaling events.
In addition, cluster autoscaler considers the relative cost of the instance types in the various pools, and attempts to expand the least expensive possible node pool. Coupled with the T2D VMs price-performance ratio, you can experience a lower total cost of ownership without sacrificing performance and scale.
5. We worked with pre-selected customers to test Tau VM performance
Snap, Inc. is continuing to improve their scale-out compute infrastructure for key capabilities like AR, Lenses, Spotlight, and Maps. After testing the T2D VMs with Google Kubernetes Engine, they saw the potential for a double-digit performance gain in the companies’ real-world workloads. Likewise, Twitter shared their excitement about the price-performance enhancements critical for their infrastructure used to serve the global public conversation.
If you’re interested in signing up to try out the Tau VMs (slated for Q3 2021), you can sign up here.
Want to connect? Find me online at @stephr_wong.