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Robotics Developer Studio <a id="b7777d05-f9ee-bedd-c9b9-9572b26f11d1" target="_self" class="mscom-link download-button dl" href="confirmation.aspx?id=29081" bi:track="false"><span class="loc" locid="46b21a80-a483-c4a8-33c6-eb40c48bcd9d" srcid="46b21a80-a483-c4a8-33c6-eb40c48bcd9d">Download</span></a> Microsoft® Robotics Developer Studio 4 is a freely available .NET-based programming environment for building robotics applications. It can be used by both professional and non-professional developers as well as hobbyists. DetailsMicrosoft Robotics Developer Studio 4.exe Microsoft® Robotics Developer Studio 4 enables hobbyists and professional or non-professional developers to create robotics applications targeting a wide range of scenarios.

20 Cloud Platforms (IaaS software) Following the launch of our cloud server map two months ago, covering IaaS offerings from service providers, it has been interesting to track which software the various providers are using for managing their clouds, what hypervisors they are running, what kind of storage they use, which features they support etc. While many are using custom platforms, where they have written their own code to manage their virtual servers, a lot are using already available frameworks or turnkey solutions to power their cloud offerings. If you are looking to start offering cloud services there is a jungle of different platforms available, both commercial and open source, that can either help you get started or deliver you a complete solution tailored to fit your exact needs.

1 Command, 15 Minute Install: Hadoop + In Memory Data Grid + SQL Analytic Data Warehouse With one command and a 15 minute install time, anyone with a decent development sandbox can deploy and log into their own Pivotal HD environment with Apache Hadoop®, a SQL-on-HDFS analytic data warehouse (HAWQ), and an in-memory data grid (GemFire XD) integrated with HDFS. Since the single-command install process below also includes GraphLab’s machine learning toolkit, data scientists, architects, statisticians, and analysts can have an industry-leading set of big data technologies at their fingertips before they finish their turkey sandwich at lunch. Why Apache Hadoop® Alone Doesn’t Cut It—Three Data Services vs. One For many companies, Apache Hadoop® alone doesn’t provide the complete big data solution needed to turn data into business value.

Juju ContinuousDelivery delivery · version control · continuous integration tags: Continuous Delivery is a software development discipline where you build software in such a way that the software can be released to production at any time. You’re doing continuous delivery when: [1] Your software is deployable throughout its lifecycle Your team prioritizes keeping the software deployable over working on new features Anybody can get fast, automated feedback on the production readiness of their systems any time somebody makes a change to them You can perform push-button deployments of any version of the software to any environment on demand

Clark Freshman - Emotional Skills and Lie Detection for Negotiators and Lawyers ajaxorg/cloud9 (R)?ex - A simple framework to simplify systemadministration and datacenter automation Puppet Labs: IT Automation Software for System Administrators Continuous delivery Continuous Delivery (CD) is a design practice used in software development to automate and improve the process of software delivery. Techniques such as automated testing, continuous integration and continuous deployment allow software to be developed to a high standard and easily packaged and deployed to test environments, resulting in the ability to rapidly, reliably and repeatedly push out enhancements and bug fixes to customers at low risk and with minimal manual overhead. The technique was one of the assumptions of extreme programming but at an enterprise level has developed into a discipline of its own, with job descriptions for roles such as "buildmaster" calling for CD skills as mandatory. Principles[edit] Continuous delivery treats the commonplace notion of a deployment pipeline[1] as a lean Poka-Yoke: a set of validations through which a piece of software must pass on its way to release.

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