OSS in the Back End
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Mirantis Acquires TCP Cloud to Advance Kubernetes Ambitions
Based in Prague, TCP Cloud provides managed services around deployments of OpenStack, OpenContrail and Kubernetes technologies. Mirantis CEO Alex Freedland says the addition of technology developed by TCP Cloud will reduce the amount of time it would have taken Mirantis to move OpenStack to Kubernetes by six to nine months. As a result, he says, Mirantis expects to show the first fruits of a joint development effort involving CoreOS, Google and Intel in the first quarter of 2017.
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Marrying Ephemeral Docker Containers to Persistent Data
Docker containers are ephemeral by design. They come and they go like a herd of hyperactive squirrels, which is great for high availability, but not so great for preserving your data. Kendrick Coleman of EMC {code} demonstrated how to have both ephemeral containers and persistent data in his talk called "Highly Available & Distributed Containers" at ContainerCon North America.
As container technologies become more complex, using them becomes easier. Coleman gave a wonderful presentation using a Minecraft game to demonstrate persistent data storage with ephemeral containers, and did it all live. This setup requires two technologies that were not available as recently as a year ago: Docker SwarmKit and REX-Ray.
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Docker + Golang = <3
This is a short collection of tips and tricks showing how Docker can be useful when working with Go code. For instance, I’ll show you how to compile Go code with different versions of the Go toolchain, how to cross-compile to a different platform (and test the result!), or how to produce really small container images.
The following article assumes that you have Docker installed on your system. It doesn’t have to be a recent version (we’re not going to use any fancy feature here).
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Docker Partner Program Unlocks DevOps, ALM Opportunities
When Docker unveiled a formalized channel program today, partners gained a new springboard that could launch them deeper into DevOps, application lifecycle management and various managed services.
The partner program launch was nearly three years in the making. To understand the journey, rewind to January 2014. That’s when the software container company hired former Red Hat Channel Chief Roger Egan as senior VP of sales.
At the time, Egan told me Docker’s influence across the IT market could eventually eclipse Linux’s impact. Sure, Linux freed the world from expensive Unix servers and enabled data center consolidation projects. But containers, he reasoned, could speed application deployments across all types of on-premises and cloud systems.
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Front Ends and Extensions Take Hadoop in New Directions
Across the history of data analytics, marquee-level applications have always given rise to useful front ends and connectors that extend what the original applications were capable of. For example, the dominance of the spreadsheet gave rise to macros, plugins, and extensions. Likewise, the rise of SQL database applications ushered in database front ends, plugins, and connectors. Now, Big Data titan Hadoop is inspiring its own ecosystem of powerful extensions and front ends.
To explain what a difference these extenders and connectors can make, here are some examples of how Hadoop can be taken in new directions with these tools.
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