Morpheus Data Brings Predictive Analytics to Cloud Management

Updated toolset deploys machine learning, container orchestration and DevOps integrations to reduce costs and speed app deployments.

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Morpheus Data, which prides itself on being an infrastructure-agnostic cloud application management and orchestration platform, on Nov. 16  launched a new release which brings predictive analytics to cloud management and enables something that used to be impossible: end-to-end app lifecycle management in multi-cloud hybrid IT environments.

San Mateo, Calif.-based Morpheus, which purports to be able to manage everything from Amazon cloud services to bare metal in a mere few clicks, has updated its Unified Ops Orchestration platform with machine learning algorithms to lower cloud costs and provide new third-party integrations to speed application deployments.

Unlike tools which only address part of the issue, Morpheus said, Unified Ops provides a systematic solution to optimize resources, enable governance, accelerate workflows and modernize applications. The solution was architected to be 100 percent infrastructure agnostic across bare metal, virtual machine and containerized deployments spanning on-premises, hosted and public clouds.

That pretty much takes into account most IT environments that aren’t installed at CERN or Lawrence Livermore Lab.

Multi-Cloud Strategies Are Needed

Much of the current growth in enterprise cloud-services spending comes from application teams trying to emulate best-in-class DevOps organizations, where time to deployment is measured in minutes, not days. At the same time, enterprise IT teams are signaling adoption of multi-cloud strategies rather than standardizing on a single provider. Unfortunately, fragmented cloud management has been a roadblock to deployment, and rouge development has led to expensive cloud sprawl.

To help organizations improve efficiency and establish visibility of complex multi-cloud infrastructure, Morpheus provides cross-platform discovery to identify what applications, VMs and containers have been deployed and gather data on capacity, memory use, performance and power consumption. Morpheus also is capable of interrogating brownfield private clouds from HPE, Nutanix, VMware and others, as well as public clouds that include AWS, Google, Microsoft Azure and IBM.

Using machine learning, Morpheus’ new Guided Remediation feature enables customers to phase out unused instances, move workloads to lower cost clouds, adjust memory or capacity allocation, and even setup power schedules to tightly control costs. At one recent early access customer, Morpheus uncovered several hundred thousand dollars of potential savings by using these new discovery and analytics capabilities, the company said.

Unlike pure-play VM analytics tools, Morpheus will find and fix issues in both VMs and containers across a wide number of on-prem and off-prem clouds. Additionally, customers can take advantage of robust policy management and cloud brokerage tools to set, compare and control costs at the time of provisioning to prevent future issues.

Provides Integration Across DevOps, CloudOps Initiatives

Development teams continue to put increasing pressure on IT to enable the rapid provisioning of new infrastructure, but the constant introduction of new tools and frameworks makes it difficult to keep up and forces ops to use multiple tools to get the job done, Morpheus said.

Originally designed by DevOps practitioners for their own internal use within distributed heterogeneous infrastructure, Morpheus was architected to rapidly integrate new technologies. This is in contrast to offerings which were born for narrow use cases to serve specific hypervisors or hardware platforms. 

  • New stack integrations for hybrid IT include certification with ServiceNow, so IT can utilize ServiceNow approvals to control creation and extension of provisioning instances. Users can also deploy the Morpheus plug-in to expose service catalog items for multiple apps and clouds directly within ServiceNow while Morpheus automates back-end provisioning.
  • Deployment of, and provisioning to, Docker Swarm and Kubernetes clusters for IT shops adding containers to their application mix. This new functionality allows consolidation of bare metal, VM, and container orchestration and adds to already existing native container orchestration and Docker support.
  • New cloud and infrastructure connectivity for HPE OneView, IBM Cloud (formerly Bluemix) and Upcloud. These expanded cloud types are on top of an already substantial list of major cloud platforms and IT operations tools; collectively they give customers the freedom to scale in virtually any direction.
  • Connectivity to GitHub and Jenkins helps teams shift left and provide release automation all the way from code builds through to deployment and monitoring. These CI/CD integrations are part of a self-service portal which already supports native scripting and configuration management via Chef, Ansible, Salt and Puppet.

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Chris Preimesberger

Chris J. Preimesberger

Chris J. Preimesberger is Editor of Features & Analysis at eWEEK, responsible in large part for the publication's coverage areas. In his 12 years and more than 3,900 stories at eWEEK, he...