Late last month Google released an alpha version of their TensorFlow (TF) integrated cloud machine learning service as a response to a growing need to make their Tensor Flow library to run at scale on the Google Cloud Platform (GCP). Google describes several new feature sets around making TF usage scale by integrating several pieces of the GCP like Dataproc, a managed Hadoop and Spark service.
At Microsoft’s recent Build conference in San Francisco, the company announced the general availability (GA) of Azure Service Fabric.
Jenkins 2.0 beta is now available which includes a new Pipeline build delivery system using a DSL built on Groovy. That feature and a new user setup process aims to give users most of what the need out of the box.
InfoQ's Rags Srinivas caught up with Stephan Ewen, a project committer for Apache Flink about the 1.0.0 Release and the roadmap
Axel Fontaine on the "Bootable App" pattern, a bare bones machine image for deploying immutable infrastructure to the cloud. This minimal image covers all layers of the stack, including OS kernel, libraries and runtime environment but still has a small footprint, reducing both image upload time and storage costs while also significantly reducing the attack surface on running instances.
Giant Swarm open-sources Mayu and Yochu, tools that aim to make it easier to provision CoreOS clusters on bare metal.
On February 25th, 2016 Microsoft announced updates to their Operations Management Suite (OMS). The updates, in this particular iteration of the service, are focused on the security and audit portions of the suite and target the user experience, additional capabilities and features.
Peter Thorngren, from Volvo Trucks, explains how the future world of smart trucks and autonomous transportation systems rely deeply on continuous delivery techniques like virtualization, test automation and continuous integration.
ASP.NET Core introduces middleware as a concept to customize the HTTP pipeline. Middleware are components which are composed together to form a web application. The concept was inspired by OWIN and Katana, which provided similar functionalities in earlier versions of ASP.NET.
Netflix has shed light on how the company uses the latest version of their Keystone Data Pipeline, a petabyte-scale real-time event stream processing system for business and product analytics. This news summarizes the three major versions of the pipeline, now used by almost every application at Netflix.
Funnel analysis is used to analyze a sequence of events to help with user engagement on a website or a mobile application. Data Science team at Twitter uses this concept to learn how users interact with user interfaces during sign up or tweeting for improving user engagement with Twitter.
WalmartLabs open-sources OneOps, the platform behind walmart.com. OneOps is a cross-cloud deployment and orchestration platform with a visual infrastructure builder aimed at making it easier to build applications that can run on any cloud.
A game simulation at Google's Deep Mind defeated expert humans at Go last month in a breakthrough for AI. Go is considered one of the great unsolved problems in AI.
Rags Srinivas talks to Luke Kanies, CEO of Puppet Labs and a seasoned DevOps veteran about application orchestration, the past, present and future of DevOps.
Last year, Netflix Cloud Database Engineering (CDE) team introduced Dynomite. Dynomite is a proxy layer, aiming to turn any non-distributed database into a sharded, multi-region replication aware distributed database system. Now Netflix released a benchmark using Dynomite with Redis in AWS infrastructure.