Open Source. Software, business.
Docker 1.0's release couldn't have been more eventful, with new services making use of the fast-evolving application packaging ecosystem and the latest version of Red Hat Enterprise Linux becoming more Docker-centric.
Add another major name to that list: Google, per its announcements yesterday. Not only is Google adding support for Docker images to Google App Engine, the company has open-sourced a container management tool for Docker that is theoretically capable of running outside of Google's cloud services.
The alternative to Android and iOS is geared for low-budget markets, and it's about to hit one of the biggest in the world. Will that price tag light a fire?
OpenStack, the build-your-own-cloud software adopted as a flagship product by Red Hat, Canonical, and others, has long been seen as difficult to set up and manage.
Now IBM (by way of its Softlayer cloud subsidiary) and Mirantis (an outfit that's both an OpenStack vendor and solutions provider) are pairing up to provide OpenStack as a private, on-demand, pay-as-you-go service hosted on bare metal provisioned exclusively for the user.
A novel form of database that focuses on connections between entities, called a graph database, is finding a home in the health care industry.
"In health care, it turns out, there are quite a number of problems that involve understanding the connections between things," said Philip Rathle, vice president of products at Neo Technologies, which sells support subscriptions to its open source Neo4j graph database.
Docker 1.0 has officially arrived, giving organizations a proper chance to use the emerging cloud technology to create and run applications with even more agility. Docker declared its namesake virtualization software ready for full production use Monday.
First released over a year ago, in March 2013, Docker has been making an impact in the market for virtualization and cloud computing. Both Google and Red Hat have incorporated Docker into their own services and software.
While the Apache Hadoop distributed data processing platform has made great strides in enterprise businesses, it still needs ease-of-use, security, lifecycle management, and tooling to solidify its status, key industry analysts believe.
Hadoop has to become "part of the IT environment," said Ovum analyst Tony Baer at the Hadoop Summit conference in San Jose, Calif., this week, but it must become easier to use and not be so programmer-centric.
MapR Technologies, provider of the MapR Distribution for Apache Hadoop, added a new dimension to the big data market today with the launch of a Hadoop application gallery, which features ready-made big data utilities and applications for developers, administrators and analysts. "This is the first of its kind," says Steve Wooledge, vice president of product marketing for MapR Technologies. "It's a showcase of different applications that people are building for Hadoop.
Hadoop, the data processing framework that's become a platform unto itself, is only as good as the components that plug into it. But the conventional MapReduce component for Hadoop has a reputation for being too slow for real-time data analysis.
Enter Apache Spark, a Hadoop data processing engine designed for both batch and streaming workloads, now in its 1.0 incarnation and outfitted with features that exemplify what kinds of work Hadoop is being pushed to encompass.
Though the two-year-old Tizen platform is still ramping up, proponents are championing the open source OS as a potential unifier for the much-ballyhooed Internet of things, a change from Tizen's original mission to be a smartphone OS to replace Nokia's Symbian.
Google is throwing its weight behind containers, an increasingly popular virtualization technology that can ease the process of spinning up applications in the cloud.
Google previewed a virtual machine for its Google Cloud service based on a popular open-source container technology called Docker. Docker provides a container for an application and its supporting libraries and programs, so that the application can be moved easily from server to server.
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