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Google Compute Engine vs OpenShift: What are the differences?

Developers describe Google Compute Engine as "Run large-scale workloads on virtual machines hosted on Google's infrastructure". 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. On the other hand, OpenShift is detailed as "Red Hat's free Platform as a Service (PaaS) for hosting Java, PHP, Ruby, Python, Node.js, and Perl apps". OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

Google Compute Engine belongs to "Cloud Hosting" category of the tech stack, while OpenShift can be primarily classified under "Platform as a Service".

Some of the features offered by Google Compute Engine are:

  • High-performance virtual machines- Compute Engine’s Linux VMs are consistently performant, scalable, highly secure and reliable. Supported distros include Debian and CentOS. You can choose from micro-VMs to large instances.
  • Powered by Google’s global network- Create large compute clusters that benefit from strong and consistent cross-machine bandwidth. Connect to machines in other data centers and to other Google services using Google’s private global fiber network.
  • (Really) Pay for what you use- Google bills in minute-level increments (with a 10-minute minimum charge), so you don’t pay for unused computing time.

On the other hand, OpenShift provides the following key features:

  • Built-in support for Node.js, Ruby, Python, PHP, Perl, and Java (the standard in today's Enterprise)
  • OpenShift is extensible with a customizable cartridge functionality that allows developers to add any other language they wish. We've seen everything from Clojure to Cobol running on OpenShift.
  • OpenShift supports frameworks ranging from Spring, to Rails, to Play

"Backed by google" is the primary reason why developers consider Google Compute Engine over the competitors, whereas "Good free plan" was stated as the key factor in picking OpenShift.

OpenShift is an open source tool with 915 GitHub stars and 563 GitHub forks. Here's a link to OpenShift's open source repository on GitHub.

According to the StackShare community, Google Compute Engine has a broader approval, being mentioned in 592 company stacks & 428 developers stacks; compared to OpenShift, which is listed in 50 company stacks and 52 developer stacks.

- No public GitHub repository available -

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 OpenShift?

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
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    What are some alternatives to Google Compute Engine and OpenShift?
    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.
    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.
    See all alternatives
    Decisions about Google Compute Engine and OpenShift
    Kestas Barzdaitis
    Kestas Barzdaitis
    Entrepreneur & Engineer · | 12 upvotes · 47K views
    atCodeFactorCodeFactor
    Google Cloud Functions
    Google Cloud Functions
    Azure Functions
    Azure Functions
    AWS Lambda
    AWS Lambda
    Docker
    Docker
    Google Compute Engine
    Google Compute Engine
    Microsoft Azure
    Microsoft Azure
    Amazon EC2
    Amazon EC2
    CodeFactor.io
    CodeFactor.io
    Kubernetes
    Kubernetes
    #SAAS
    #IAAS
    #Containerization
    #Autoscale
    #Startup
    #Automation
    #Machinelearning
    #AI
    #Devops

    CodeFactor being a #SAAS product, our goal was to run on a cloud-native infrastructure since day one. We wanted to stay product focused, rather than having to work on the infrastructure that supports the application. We needed a cloud-hosting provider that would be reliable, economical and most efficient for our product.

    CodeFactor.io aims to provide an automated and frictionless code review service for software developers. That requires agility, instant provisioning, autoscaling, security, availability and compliance management features. We looked at the top three #IAAS providers that take up the majority of market share: Amazon's Amazon EC2 , Microsoft's Microsoft Azure, and Google Compute Engine.

    AWS has been available since 2006 and has developed the most extensive services ant tools variety at a massive scale. Azure and GCP are about half the AWS age, but also satisfied our technical requirements.

    It is worth noting that even though all three providers support Docker containerization services, GCP has the most robust offering due to their investments in Kubernetes. Also, if you are a Microsoft shop, and develop in .NET - Visual Studio Azure shines at integration there and all your existing .NET code works seamlessly on Azure. All three providers have serverless computing offerings (AWS Lambda, Azure Functions, and Google Cloud Functions). Additionally, all three providers have machine learning tools, but GCP appears to be the most developer-friendly, intuitive and complete when it comes to #Machinelearning and #AI.

    The prices between providers are competitive across the board. For our requirements, AWS would have been the most expensive, GCP the least expensive and Azure was in the middle. Plus, if you #Autoscale frequently with large deltas, note that Azure and GCP have per minute billing, where AWS bills you per hour. We also applied for the #Startup programs with all three providers, and this is where Azure shined. While AWS and GCP for startups would have covered us for about one year of infrastructure costs, Azure Sponsorship would cover about two years of CodeFactor's hosting costs. Moreover, Azure Team was terrific - I felt that they wanted to work with us where for AWS and GCP we were just another startup.

    In summary, we were leaning towards GCP. GCP's advantages in containerization, automation toolset, #Devops mindset, and pricing were the driving factors there. Nevertheless, we could not say no to Azure's financial incentives and a strong sense of partnership and support throughout the process.

    Bottom line is, IAAS offerings with AWS, Azure, and GCP are evolving fast. At CodeFactor, we aim to be platform agnostic where it is practical and retain the flexibility to cherry-pick the best products across providers.

    See more
    Docker
    Docker
    OpenShift
    OpenShift
    Heroku
    Heroku

    Heroku vs OpenShift. I've never decided which one is better. Heroku is easier to configure. Openshift provide a better machine for free. Heroku has many addons for free. I've chosen Heroku because of easy initial set-up. I had deployment based on git push. I also tried direct deployment of jar file. Currently Heroku runs my Docker image. Heroku has very good documentation like for beginners. So if you want to start with something, let's follow Heroku. On the other hand OpenShift seems like a PRO tool supported by @RedHat.

    See more
    Mohamed Labouardy
    Mohamed Labouardy
    Founder at Komiser · | 5 upvotes · 9.1K views
    atKomiserKomiser
    GitHub
    GitHub
    Go
    Go
    Microsoft Azure
    Microsoft Azure
    OVH
    OVH
    Amazon Web Services
    Amazon Web Services
    Google Compute Engine
    Google Compute Engine

    Google Compute Engine Amazon Web Services OVH Microsoft Azure Go GitHub

    Last week, we released a fresh new release of Komiser with support of multiple AWS accounts. Komiser support multiple AWS accounts through named profiles that are stored in the credentials files.

    You can now analyze and identify potential cost savings on unlimited AWS environments (Production, Staging, Sandbox, etc) on one single dashboard.

    Read the full story in the blog post.

    See more
    Mohamed Labouardy
    Mohamed Labouardy
    Founder at Komiser · | 5 upvotes · 14.2K views
    atKomiserKomiser
    GitHub
    GitHub
    Microsoft Azure
    Microsoft Azure
    Material Design for Angular
    Material Design for Angular
    Docker
    Docker
    Go
    Go
    Amazon Web Services
    Amazon Web Services
    Google Compute Engine
    Google Compute Engine

    Google Compute Engine Amazon Web Services Go Docker Material Design for Angular Microsoft Azure GitHub I’m super excited to annonce the release of Komiser:2.1.0 with beta support of Google Cloud Platform. You can now use one single open source tool to detect both AWS and GCP overspending.

    Komiser allows you to analyze and manage #cloud cost, usage, #security, and governance in one place. Hence, detecting potential vulnerabilities that could put your cloud environment at risk.

    It allows you also to control your usage and create visibility across all used services to achieve maximum cost-effectiveness and get a deep understanding of how you spend on the #AWS, #GCP and #Azure.

    See more
    Interest over time
    Reviews of Google Compute Engine and OpenShift
    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

    Review ofOpenShiftOpenShift

    I needed a PaaS provider that didn't drop all the time and it's hard to find a good option for PHP applications. Openshift takes care of it. They are a little behind on PHP versions, but that can be solved with a custom cartridge. It requires a little more elbow grease to get rolling when you want to implement something they don't already have, but their quickstarts are great to get rolling with the basics quickly.

    How developers use Google Compute Engine and OpenShift
    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 kelumkps
    kelumkps uses OpenShiftOpenShift

    SG-TravelBuddy server application is hosted on Red Hat OpenShift Online (v3). SG-TravelBuddy mobile (Android) app is connecting to this server for data operations.

    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 InApplet
    InApplet uses OpenShiftOpenShift

    Servidor das aplicações de Back-end

    Avatar of azawisza
    azawisza uses OpenShiftOpenShift

    Main cloud infrastructure provider

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

    Hosting our Bitnami PSQL instance

    Avatar of Miyuru Sankalpa
    Miyuru Sankalpa uses OpenShiftOpenShift

    To host the blog powered by ghost

    Avatar of AyeDeals
    AyeDeals uses OpenShiftOpenShift

    OpenShift is our PaaS.

    How much does Google Compute Engine cost?
    How much does OpenShift cost?
    Pricing unavailable