While no major new solutions were unveiled this year at the European version of HPE Discover, they did announce a significant number of enhancements, particularly those relating to the recently announced HPE GreenLake for Private Cloud Enterprise.
Vishal Lall, SVP and GM, HPE GreenLake Cloud Services Solutions
Today, at the HPE Discover event in Frankfurt, HPE announced a series of application analytics and developer services around their HPE GreenLake As-a-Service offering. This includes expanding its support for Kubernetes with Amazon EKS Anywhere from AWS, and infrastructure-as-code and cloud-native toolchains to support DevOps and CI/CD environments. Six new workload optimized instances for HPE GreenLake Private Cloud Enterprise were also announced, around general purpose, compute, memory and storage. Consumption analytics have been enhanced for all three big hyperscaler offerings. The new HPE GreenLake for Red Hat OpenShift platform was added to the GreenLake marketplace. The company also announced that HPE GreenLake for Data Fabric and HPE Ezmeral Unified Analytics are both now available through a new HPE Ezmeral early access program.
“HPE GreenLake is really taking off in the market, with $8.3 billion in Total Contract Value booked, and with 900-plus partners now involved,” said Vishal Lall, SVP and GM, HPE GreenLake Cloud Services Solutions. “We are adding more services, but we are also adding more depth in the services.”
The key announcements in Frankfurt revolve around HPE GreenLake for Private Cloud Enterprise, a new offering which just went to General Availability in October.
“HPE GreenLake for Private Cloud Enterprise is one of our key assets for hybrid cloud,” Lall said. “What we are doing here, in expanding container deployment options to include Amazon EKS Anywhere, is expanding our Kubernetes options beyond HPE Ezmeral.”
“HPE GreenLake for Private Cloud Enterprise is really starting to enable hybrid cloud experiences since we went to full GA in October,” said Bryan Thompson, VP of GreenLake Cloud Product Management at HPE. This expanding choice of container technology lets customers choose the Amazon EKS Anywhere open source distribution as well as HPE Ezmeral.”
Six new workload optimized instances for HPE GreenLake Private Cloud Enterprise were also announced, around general purpose, compute, memory and storage. These have what HPE is calling competitive rate card pricing, for a clear pay-as-you-go consumption model.
“This fits with a lot of partner enablement we have done from a financial perspective and value added services, and involves standardized pricing for GreenLake, especially for Private Cloud Enterprise,” Lall stated.
HPE is also announcing an enhancement to their consumption analytics which provides improved usage and cost analytics of applications for all three hyperscaler public cloud vendors.
“This is an important innovation,” Lall said. “We are going deeper and deeper in terms of analytics. We have always had container analytics, but we are now adding more to that.”
“We have always had consumption analytics reporting around GreenLake services, but we are continuing to invest here,” Thompson added. “We now have very rich reporting capabilities, with powerful showback [accounting]. The entire cloud estate is now covered to provide a unified view of cost from the Big Three hyperscalers as well as GreenLake.”
HPE also introduced the new HPE GreenLake for Red Hat OpenShift platform, as part of an expansion of its partner ecosystem offerings on the HPE GreenLake Marketplace.
“We are building out our ecosystem on top of GreenLake Marketplace, and specifically will be expanding it from a DevOps, AI, machine learning, analytics, data protection and security perspective,” Lall indicated. It also follows up the recently announced HPE GreenLake for VMware announcement, which was made in November.
HPE GreenLake for Data Fabric and HPE Ezmeral Unified Analytics are both now available through a new HPE Ezmeral Early Access Program.
“This unified analytics is open source with enterprise scaffolding around it to make it more robust,” Lall noted.
