To improve the management and support of distributed applications, Cisco has added features to its core cloud and IT solutions, including its Intersight cloud management system, UCS X servers, and HyperFlex hyperconverged solution. . “The idea is to provide tools that provide flexibility and manageability while increasing performance and reducing costs for modern cloud-based applications and workloads,” said DD Dasgupta, vice president from Cisco’s Cloud & Compute Product Management group. In particular, Cisco is extending the support for Kubernetes by Intersight, which only managed Cisco Kubernetes and only on-premises.

With Intersight Kubernetes Service Attached Clusters, IT operators will have a single place to view and manage all of their Kubernetes clusters, including those running on Microsoft Azure and AWS cloud platforms. Adding Google Cloud support is planned for a bit later. “A lot of times IT doesn’t know these clusters exist because a department has spun up a Kubernetes cluster to run a specific workload without telling anyone. This Intersight feature will prevent that and the problems that can arise from it,” Dasgupta said. Also new are Intersight’s integrations with Amazon Elastic Compute Cloud (Amazon EC2) that allow customers to manage inventory and automation for virtual machines running in AWS cloud and on-prem environments. “We want to provide more operational consistency and unified experiences for our customers across the data center and across public clouds,” Dasgupta said.

Modularity is a must on UCS

On the server side, Cisco integrated GPU nodes into its flagship UCS X system and hardened the blade X system’s unified switching fabric to deliver up to 14.84 TB/s of aggregated bandwidth. . Introduced nearly a year ago, the UCS X system is the fastest server in Cisco history. Its modular hardware architecture can be upgraded over time to support next generations of processors, storage, nonvolatile memory, accelerators, and interconnect. “The idea is for the system to support as diverse tasks as possible, from virtualized workloads, traditional enterprise applications and databases to private cloud and cloud-native applications” , also explained Mr. Dasgupta. And all these tasks are controlled and managed by Intersight. “The new GPU capability and support will better support the growing and demanding AI and ML use cases,” said DD Dasguptas. “Big Data forces have a very different outbound and inbound traffic pattern between compute cycles and GPU cycles, with GPU cycles being able to take place inside and outside the box,” said Mr Dasgupta. “We are all seeing the rise of container-based workloads as the world becomes more and more virtualized. GPUs are necessary for many of these modern workloads,” he added.

Cisco also created HyperFlex Express, a more affordable configuration of its hyperconverged platform that delivers compute, networking, and storage resources from a single console. “HyperFlex Express will cost almost half the price of any HyperFlex we have sold in the past,” said DD Dasgupta. “We also couple it with some very specific partner programs that allow customers to deploy the system almost 80% faster. By simplifying the product in these partner programs, we believe HyperFlex Express lowers the entry point for adopting hyperconverged solutions.”

Cisco Intersight Kubernetes Service Attached Clusters and Intersight integrations with Amazon Elastic Compute Cloud (Amazon EC2) are available now. GPU Node with UCS X-Fabric technology will be available in May. Finally, HyperFlex Express is available now.