On the data analytics front, profound change is in the air, and open source tools are leading many of the changes. Sure, you are probably familiar with some of the open source stars in this space, such as Hadoop and Apache Spark, but there is now a strong need for new tools that can holistically round out the data analytics ecosystem. Notably, many of these tools are customized to process streaming data.
In the past five years, demand for DevOps professionals has grown exponentially, with companies looking to build out their tech capabilities and bring new software products to market while simultaneously cutting development time and driving efficiencies in the process. Since the beginning of 2016, there have been more than 2,000 daily job postings looking for DevOps professionals on Dice, representing roughly 3 percent of all job postings on the site and up 53 percent year-over-year.
As a “networking guy," Cisco CTO of Engineering and Chief Architect Dave Ward finds it frustrating that today, although somebody can fire up an application and ask for CPU, RAM and storage, they can't even ask for bandwidth. They have very simple networking primitives all the way up to the PaaS (Platform as a Service) layer.
A decade ago, Red Hat CEO Jim Whitehurst predicted that open source tools and platforms would become pervasive in IT. Fast-forward to today, and that prediction has come true, with profound implications for the employment market.
As a preview to MesosCon, we spoke with Chris Pinkham, VP of Engineering at Twitter, about some of the issues involved with running “one of the largest single Mesos clusters known” and why open source technology is critical to Twitter’s success.
OpenDaylight (ODL) is an open source SDN platform designed to serve a broad set of use cases and end user types, mainly service providers, large enterprises, and academic institutions. Uniquely, ODL provides a plethora of network services in all domains--data center, WAN, NREN, metro and access.
Learn how to write Linux device drivers, about the specifics of different types of devices and drivers, and learn the appropriate APIs and methods through which devices interface with the kernel.