Data Machines uses 27 technologies like Amazon Web Services (AWS), Ansible, and Apache Kafka. View Data Machines's complete Tech Stack.
Data Machines Platform And Storage Technology
Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon that includes a mixture of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings.
AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of Amazon Web Services. It lets clients run code without provisioning or managing servers.
Linode is a cloud hosting company offering customers on-demand access to Linux virtual servers on high speed internet connections
The OpenStack foundation supports the development and adoption of open infrastructure globally, across a community of 90,000 individuals in 187 countries, by hosting open source projects and communities of practice, including datacenter cloud, edge computing, NFV, CI/CD and container infrastructure.
Virtualbox is a "cloud"" / Internet based provider of business software that empowers organizations to leverage applications via the internet
Data Machines Devops And Development Technology
Ansible is open source software that automates software provisioning, configuration management, and application deployment. Ansible connects via SSH, remote PowerShell or via other remote APIs.
Docker Cloud allows IT Ops team to deploy & manage Dockerized applications, from single container apps to distributed microservices stacks to any infrastructure.
GitHub is a place to share code with friends, co-workers, classmates, and complete strangers, helping individuals and teams to write faster, better code.
Kubernetes helps to manage a cluster of Linux containers as a single system to accelerate development and simplify operations.
YouTube is a video sharing service where users can watch, like, share, comment and upload their own videos. The video service can be accessed on PCs, laptops, tablets and via mobile phones.
Data Machines Programming Languages And Frameworks Technology
Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Django is a Python web framework.
Hypertext Markup Language (HTML) is the standard markup language for documents designed to be displayed in a web browser. It can be assisted by technologies such as Cascading Style Sheets (CSS) and scripting languages such as JavaScript.
JavaScript is the programming language of HTML and the Web.
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML. It is free, open-source software using the permissive MIT License. Web analysis indicates that it is the most widely deployed JavaScript library by a large margin.
Kubernetes-native application is an application that has been specifically designed to run on Kubernetes platforms, generating software designed to maximize the functionalities of Kubernetes API and components and facilitate infrastructure management.
Microsoft Azure is the Windows Azure Platform enables businesses to run critical applications with a higher performance price ratio by running them on the services platforms data centers on a pay as clients go basis.
Python is an interpreted high-level programming language for general-purpose programming. Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.
Data Machines Computer Networks Technology
AWS Route53 is a Cloud DNS service helps in customers to route end user requests to internet applications.
Data Machines Communications Technology
Gmail is a free, advertising-supported email service offered as part of Google's G Suite, with 15GB of storage, color-coded inbox filters and unsend button.
Data Machines Business Intelligence And Analytics Technology
Google Analytics allows users to measure sales & conversions, plus gain fresh insights into how visitors use sites, & how they arrived on site.
Data Machines Product And Design Technology
Google Sites is a free and easy way to create and share web pages.
Squarespace is a SaaS-based Content Management System (CMS) offering a website builder, blogging platform and hosting service.
Data Machines Marketing Technology
Google Tag Manager helps marketers control the end-to-end process of adding website tags.
Twitter is a microblogging and social networking service on which users post and interact with messages known as "tweets".
Data Machines Collaboration Technology
G Suite is a suite of apps from Google which offers a number of tools to communicate and collaborate with colleagues, store files, and manage data.
Microsoft Project helps users plan projects and collaborate from virtually anywhere with the right tools for project managers, project teams, and decision makers.
Top Data Machines Employees
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Matt Quinn
Chief Executive Officer at Data Machines
Reston, VA, US44 -
Catherine Schymanski
Chief Operations Officer at Data Machines
Springfield, VA, US24 -
Eric Whyne
Root at Data Machines
Reston, VA, US25+ -
Shannon Lacefield
Human Resources Director at Data Machines
Washington, DC, US1 -
Kent Laukhuf
Director of Modeling and Simulation at Data Machines
Washington, DC, US13 -
Rion Dooley
Technical Fellow at Data Machines
Austin, TX, US35+ -
25+
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Bill Carpenter
Senior Software Developer at Data Machines
Sterling, VA, US2 -
Robert Jacobs
Sr. Software Engineer at Data Machines
Bristow, VA, US2
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