In the pursuit of DevOps, organizations often experience temporary growing pains, resulting in increased deployment problems and outages, according to Puppet's State of DevOps report. But as operations teams become more familiar with the tools used and identify issues, they can support more rapid deployment schedules with better quality and fewer outages. In this episode of Talking DevOps, Josh Atwell, Developer Advocate for NetApp SolidFire, explains why.
In the last part of the free Docker Networking Fundamentals webinar Dinesh Dutt described the newer high-performance networking options (Macvlan and Ipvlan) introduced in Docker version 1.12.
When Facebook announced 6-pack (their first chassis switch) my reaction was “meh” (as well as “I would love to hear what Brad Hedlund has to say about it”). When Facebook announced Backpack I mostly ignored the announcement. After all, when one of the cloud-scale unicorns starts talking about their infrastructure, what they tell you is usually low on detail and used primarily as talent attracting tool.
Read more ...
Broadcom might have more IP pieces to divest, however.
During the past decade, enterprises have begun using machine learning (ML) to collect and analyze large amounts of data to obtain a competitive advantage. Now some are looking to go even deeper – using a subset of machine learning techniques called deep learning (DL), they are seeking to delve into the more esoteric properties hidden in the data. The goal is to create predictive applications for such areas as fraud detection, demand forecasting, click prediction, and other data-intensive analyses.
The computer vision, speech recognition, natural language processing, and audio recognition applications being developed using DL techniques need large amounts of …
Current Trends in Tools for Large-Scale Machine Learning was written by Nicole Hemsoth at The Next Platform.
See 5G come to life on the show floor.