Mesosphere Tames Kubernetes Proliferation

New software is designed to centralize Kubernetes deployments under IT control, as well as improve support for developers building data science applications with machine learning.

Mitch Wagner, Executive Editor, Light Reading

October 26, 2018

3 Min Read
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Mesosphere is looking to help IT departments bring Kubernetes clusters under centralized control, as well as improve support for developers that are building data science applications using machine learning.

The company announced Mesosphere Kubernetes Engine (MKE), Mesosphere DC/OS 1.12 and the public beta of its machine learning platform, Mesosphere Jupyter Service (MJS), on Thursday.

The company's flagship DC/OS platform is designed as a "data center operating system" -- hence the name -- to run containerized apps, Kubernetes, data science workloads, as well as legacy applications, Chris Gaun, product manager for Mesosphere Kubernetes Engine, tells Light Reading. "We want to be a single platform for not just Kubernetes, not just data services, not just your legacy applications, but the whole gamut of what you typically find in an enterprise," Gaun says.

Figure 1: At the Mesosphere offices, dogs are allowed on the couch. Or at least this one is. He's a good boy. At the Mesosphere offices, dogs are allowed on the couch. Or at least this one is. He's a good boy.

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Most Kubernetes installations today are on small clusters, but individual enterprises will have 15 or more Kubernetes clusters in different areas, many of them run by line-of-business rather than under IT or centralized. The new Mesosphere software provides centralization for increased control and security. The software consolidates Kubernetes clusters, resulting in reduced infrastructure costs by 50%. And the Mesosphere software also provides automated lifecycle management.

The software supports running Kubernetes across multiple clouds.

Mesosphere is also adding support for Jupyter Notebooks, an open source development environment for data scientists building machine learning applications.

Mesosphere's core customers are Global 2,000 companies across the US, Asia and EMEA, across verticals, with particular strength with auto manufacturers and financial services companies, Gaun says. Telcos are a significant vertical for Mesosphere, which is using machine learning to optimize networks. (See Verizon Uses Mesosphere to Manage Data Centers.)

Mesosphere competitors include Pivotal Container Service and Red Hat Open Shift, Gaun says. Mesosphere has raised about $250 million to date.

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About the Author

Mitch Wagner

Executive Editor, Light Reading

San Diego-based Mitch Wagner is many things. As well as being "our guy" on the West Coast (of the US, not Scotland, or anywhere else with indifferent meteorological conditions), he's a husband (to his wife), dissatisfied Democrat, American (so he could be President some day), nonobservant Jew, and science fiction fan. Not necessarily in that order.

He's also one half of a special duo, along with Minnie, who is the co-habitor of the West Coast Bureau and Light Reading's primary chewer of sticks, though she is not the only one on the team who regularly munches on bark.

Wagner, whose previous positions include Editor-in-Chief at Internet Evolution and Executive Editor at InformationWeek, will be responsible for tracking and reporting on developments in Silicon Valley and other US West Coast hotspots of communications technology innovation.

Beats: Software-defined networking (SDN), network functions virtualization (NFV), IP networking, and colored foods (such as 'green rice').

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