Morpheus Data has updated its hybrid cloud computing platform to add support for a bare metal-as-a-service option as well as tighter integrations with VMware vCloud Director (vCD) and NSX-T, Microsoft System Center Virtual Machine Manager (SCVMM), Microsoft Azure and Veeam data protection tools.
In addition, version 5.0 of the Morpheus IT management platform adds support for additional financial operations tools and a user interface that can be tailored to different classes of end users with varying levels of expertise.
Finally, Morpheus has added support for the latest release of the ServiceNow platform for managing IT via a software-as-a-service (SaaS) application.
Interest in employing bare-metal servers is on the rise as IT organizations look to deploy everything from platforms to build and deploy artificial intelligence (AI) to edge computing applications based on cloud-native technologies such as Kubernetes.
At the same time, many IT organizations are beginning to more aggressively reduce the total cost of IT by centralizing the management of multiple IT platforms.
Brad Parks, chief marketing officer for Morpheus Data, said the financial operations tools added to the Morpheus platform surface more granular cost analysis for utilization of specific classes of cloud services as well as views into Amazon Web Services (AWS) Reservation Coverage and Savings Plans.
The revamped user interface, meanwhile, makes the platform available to a wider range of end users by adding support for different types of personas within an IT team. That enhancement makes it easier for IT organizations that have adopted Morpheus to provide self-service capabilities.
It’s not clear at what rate IT organizations will be transforming IT operations. It typically requires IT teams to spend money before they can begin to save money. However, rationalization of the many tools that IT teams rely on today may also help cost-justify the investment.
Regardless of the motivation, the need to centralize the management of IT is becoming more acute as IT environments become more distributed. Most organizations cannot afford to hire and retain IT staff for each IT platform it uses. IT organizations also want to be able to move workloads between platforms as they best see fit, which is easier to accomplish via a central control plane. The economic downturn brought on by the COVID-19 pandemic is, in effect, acting like a forcing function driving IT organizations to accelerate the rate of transition to hybrid cloud computing, noted Parks.
Over time, it will also become easier to apply AI to IT operations when the data on which AIOps platforms depend is more easily accessible.
In the last several years IT has become much more complex. With the rise of everything from microservices based on cloud-native technologies such as containers to internet of things (IoT) applications, the IT environment has never been more diverse. The challenge now is finding the most efficient way to manage all those devices at a time when IT budgets have never been as constrained.
The data used to train AI models needs to reflect the production environments where applications are deployed.
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