Today, Morpheus Data announced
a major software release which brings predictive analytics to cloud
management and enables end-to-end app lifecycle management in
multi-cloud hybrid IT environments.
Research
indicates that total enterprise spending on public cloud services is
expected to continue to grow at double digits over the coming years.
Much of this growth comes from application teams seeking to mirror
best-in-class DevOps organizations where time to deploy is measured in
minutes. 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 done little to speed
deployment and rouge development has led to expensive cloud sprawl.
To
address these gaps, Morpheus Data has updated its Unified Ops
Orchestration platform with machine learning to lower cloud costs and
new 3rd party
integrations to speed application deployments. Unlike tools which only
address part of the issue, only Morpheus provides a systematic solution
to optimize resources, enable governance, accelerate workflows, and
modernize applications. The solution was architected to be 100%
infrastructure agnostic across bare metal, VM, and containerized
deployments spanning on-premises, hosted, and public clouds.
"Cloud
Computing and DevOps trends are inexorably linked, yet large
organizations are still fighting inefficient IT silos and lacking
visibility," said Brad Parks, VP of Business Development, Morpheus Data. "Morpheus
has embedded machine learning into our unified orchestration engine to
not only find and fix cloud drain but also provide governance and
automation to help customers take back control."
Enabling AI in the Datacenter to reduce cloud cost by thousands
As
IT organizations are evolving from traditional operations to embrace
their new role as cloud brokers there is a need to improve understanding
of current cloud usage, much of which often has been provisioned
without formal controls.
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 is capable of interrogating brownfield private
clouds from HPE, Nutanix, VMware, and others as well as public clouds
like AWS, Google, Microsoft Azure, and IBM.
Using machine learning, the new Guided Remediation feature
enables customers to sunset 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.
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. Users can easily map
workloads to the right infrastructure with custom costing, visibility of
public cloud costs, and in-line comparison tools.
Providing seamless integration across DevOps and CloudOps
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.
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. Customers can also use 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.
The
ability to manage all of these apps, platforms, tools, and clouds from a
single simple graphical interface or programmatically via full fidelity
API and CLI enables faster provisioning and more deploys per day,
giving customers an advantage over competitors as they deal with digital
disruption.