Google Compute Engine vs Microsoft Azure vs WebFaction

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Google Compute Engine
Google Compute Engine

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Microsoft Azure
Microsoft Azure

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WebFaction
WebFaction

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+ 1
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What is Google Compute Engine?

Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.

What is Microsoft Azure?

Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

What is WebFaction?

No need to spend hours installing and configuring the software, database and other tools. We have over 50 one-click installers in our control panel.
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Why do developers choose Google Compute Engine?
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      What companies use Google Compute Engine?
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      What tools integrate with Google Compute Engine?
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        What are some alternatives to Google Compute Engine, Microsoft Azure, and WebFaction?
        Google App Engine
        Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
        DigitalOcean
        We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.
        Google Cloud Platform
        It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.
        Amazon EC2
        It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
        Kubernetes
        Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
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        Decisions about Google Compute Engine, Microsoft Azure, and WebFaction
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        Interest over time
        Reviews of Google Compute Engine, Microsoft Azure, and WebFaction
        Avatar of IanEdington
        Business Analyst
        Review ofMicrosoft AzureMicrosoft Azure

        Windows Azure is more difficult to configure than some other cloud based technologies, however, it makes up for it with the incredible integrations and ease of development on mobile platforms (Android, iOS and of course Windows Phone).

        The Azure Web Sites is a PaaS that is very easy to setup and is pretty powerful.

        If you want VMs you can have them and even program when they come online.

        There are tons of ways to use this service and there are a lot of free things you can get in order to try it out. The only downside is that you have to learn a new, although very powerful, platform.

        Review ofGoogle Compute EngineGoogle Compute Engine
        • I use Google Compute Engine instances as flexible, reproducible infrastructure that scale with my data science tasks.

        • Between Google Cloud and Amazon Web Services, I chose Google Cloud for its intuitive UI. SSH within the browser is very convenient.

        • Related blog post with example usage: Running an IPython Notebook on Google Compute Engine from Chrome

        How developers use Google Compute Engine, Microsoft Azure, and WebFaction
        Avatar of Samuel Harrold
        Samuel Harrold uses Google Compute EngineGoogle Compute Engine
        • I use Google Compute Engine instances as flexible, reproducible infrastructure that scales with my data science tasks.
        • Between Google Cloud and Amazon Web Services, I chose Google Cloud for its intuitive UI. SSH within the browser is very convenient.
        • Related blog post with example usage: Running an IPython Notebook on Google Compute Engine from Chrome
        Avatar of MOKA Analytics
        MOKA Analytics uses Microsoft AzureMicrosoft Azure

        We use Microsoft Azure because many of our clients are already Azure for their private cloud. Additionally, Azure supports App Service Environments (ASE), which isolates the application resources and gives us a static IP for securely accessing external resources

        Additionally, MSSQL supports columnstore tables which is critical for running fast analytics over large datasets

        Avatar of Daniel Kovacs
        Daniel Kovacs uses Microsoft AzureMicrosoft Azure

        My favourite cloud with all the great tools - web apps, mobile apps, storages, easy tables, blobs, app insights, cosmos DB... I think it is really usable and ergonomic. Plus point for mobile app.

        Avatar of PSESD
        PSESD uses Microsoft AzureMicrosoft Azure

        We currently host PRS and EARS on Azure as they are .Net apps, but we are currently porting these services to Scala and will be hosting them on Heroku with the other P2 SRX services.

        Avatar of Onezino Gabriel
        Onezino Gabriel uses Microsoft AzureMicrosoft Azure

        Serviço utilizado para deploy de toda a infraestrutura do projeto. Colocamos todas as peças do serviço no azure, garantindo uma forma rápida e garantia de escalibilidade.

        Avatar of Sean Long
        Sean Long uses Microsoft AzureMicrosoft Azure

        Blackbaud makes use of Azure and my current job is with Blackbaud. Therefore, due to the free credit and the ability to reuse tools, I rely on Azure quite a bit.

        Avatar of Casey Smith
        Casey Smith uses Google Compute EngineGoogle Compute Engine

        Infrastructure for Google App Engine, Google Cloud Endpoints, Memcached, and Google Cloud SQL components, as well as Git repository and Jenkins CI server.

        Avatar of BitBank
        BitBank uses Google Compute EngineGoogle Compute Engine

        Compute engine is used to run our live forecaster and cron jobs

        Avatar of Jonathan Fries
        Jonathan Fries uses Google Compute EngineGoogle Compute Engine

        Ghost runs on a VM from Google Compute Engine.

        Avatar of Partners in School Innovation
        Partners in School Innovation uses Google Compute EngineGoogle Compute Engine

        Hosting our Bitnami PSQL instance

        How much does Google Compute Engine cost?
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