Business · Cloud

Morpheus Data brings the glue to multi-cloud management

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Enterprises across the globe are starting to leverage cloud-based resources in a multitude of ways. However, there is not a one-size-fits-all approach to cloud that makes sense for the enterprise portfolio. This leads to a rise in multi-cloud deployments for the varied workloads any given enterprise uses. Meaning, any given enterprise will use a variety of different cloud-based services depending on the specific requirements of any given workload. It is important to understand the difference between Multi-Cloud and Hybrid Cloud.

This cloud ‘sprawl’ creates an increasingly complicated management problem as each cloud provider uses a different approach to manage their cloud-based services. Layer in management processes, automation routines and management tools and one can quickly understand the challenge. Add to this that any given application may use a different combination of cloud services and one can quickly see how the problem gets exponentially more complicated with each workload.

MORPHEUS DATA PROVIDES THE GLUE

At Tech Field Day’s Cloud Field Day 3, I had the opportunity to meet with the team from Morpheus Data.

Morpheus Data addresses this complicated web of tools and services by providing an abstraction layer on top of the various tools and services. More specifically, Morpheus Data creates abstraction between the provisioning and underlying infrastructure. To date, they support 49 service integrations out of the box that cover a variety of cloud services, governance tools, management tools and infrastructure.

Providing governance and automation is key to any multi-cloud or hybrid-cloud deployment. Leveraging a solution like Morpheus Data will help streamline CloudOps & DevOps efforts through their integration processes.

One interesting aspect of Morpheus Data’s solution is the ability to establish application templates that span a number of different tools, services & routines. The templates assist with deployment and can set specific time limitations on specific services. This is especially handy to avoid one form of sprawl known as service abandonment where a service is left running and accruing cost even though it is no longer used.

Much of Morpheus Data’s efforts are geared toward ‘net-new’ deployments to cloud. Moving legacy workloads will require re-working before fully taking advantage of cloud-based resources. I wrote about the challenges with legacy workloads moving to public cloud in these posts:

LOOKING BEYOND THE TOOL

While Morpheus Data provides technology to address the systemic complexities of technology, it does not address the people component. To be fair, it is not clear that any tool will necessarily fix the people component. Specifically, in order to truly leverage good governance and automation routines, one needs to come to grips with the organizational and cultural changes to support such approaches.

In order to address the people component, it is helpful to break down the personas. The key three are Developer, Infrastructure Administrator and Executive. Each of these personas have different requirements and interests that will impact how services are selected and consumed.

IN SUMMARY

Morpheus Data is going after a space that is both huge and highly complicated. A big challenge for the team will be to focus on the most critical spaces without trying to cover every tool, process and model. This is really a question going broad or going deep. You can’t do both.

In addition, it is clear that Morpheus Data has a good start but would benefit from bringing operational data and costs into the factors that drive decisions on which services to use. The team already has some cost components included but are not as dynamic as enterprises will need moving forward.

In summary, the Morpheus Data solution looks like a great start to the increasingly complicated multi-cloud space. Every enterprise will have some form of complexity dealing with multi-cloud and hybrid cloud. As such, they could benefit from a solution to help streamline the processes. Morpheus Data looks like a good start and will be interesting to see how the company and solution evolve over time to address this increasingly complicated space.

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