IBM and Scale Computing have inked a new deal to help enterprises optimize their edge computing strategies.
In a recent IBM study, 91% of the respondents stated their organizations plan to implement edge computing within the next five years. Along these lines, IBM is expanding its Edge Application Manager to include Scale Computing’s HC3 Edge Computing platform.
An all-in-one solution, HC3 Edge Computing lets businesses run modern containerized workloads alongside legacy applications. Powered by patented HyperCore technology, HC3 systems can self-heal to keep applications running at all times.
From deployment to maintenance and remediation, users can centrally monitor and manage their distributed infrastructure and applications fleet.
This adds to IBM’s Edge Application Manager, an autonomous management solution to create, deploy, run, monitor, and scale analytics applications at the edge.
“We look forward to collaborating with Scale Computing to help clients deploy, operate and manage thousands of endpoints throughout their operations with IBM Edge Application Manager. Together, we can help enterprises accelerate their digital transformation by acting on insights closer to where their data is being created, at the edge,” said Evarisitus Mainsah, general manager at IBM Hybrid Cloud and Edge Ecosystem.
According to Scale Computing, deploying HC3 Edge Computing doesn't require VMware or any additional hypervisor licenses.
The Total Economic Impact™ of IBM Spectrum Virtualize
Cost savings and business benefits enabled by storage built with IBMSpectrum Virtualize
“We believe that Edge computing is critical for the future of many organizations, and organizations of all sizes across all industries can take steps now to help simplify the deployment and management of localized compute infrastructure in a secure and resilient manner,” said Jeff Ready, CEO and co-founder of Scale Computing.
Ready continued, “We are excited to team our HC3 Edge Computing solutions with IBM Edge Application Manager in an effort to help organizations optimize their operations across the globe with infrastructure designed to be self-healing and automated, as well as added containerized application management that can help them grow into the new reality of edge computing.”
