Hyperscale applications like Elastic, Hadoop, Kafka and Cassandra typically use a shared nothing design where each node in the compute cluster operates on its data. Hyperscale architectures, to maximize storage IO performance, keep data local to the compute node processing the job. The problem is that the organization loses the efficiency of shared storage infrastructure. As the hyperscale architecture scales, overprovisioned and underutilized compute, GPU and storage resources cost the organization money!
In 15 minutes learn:
- The challenges facing hyperscale architectures
- The true cost of underutilized compute and storage
- Why fast Ethernet networks are good for your data
- How a composable architecture brings scale, performance and cost efficiency to your data center
Watch now and receive a copy of Storage Switzerland’s eBook “Is NVMe-oF Enough to Fix the Hyperscale Problem?”.