CloudBees vs Heroku vs Red Hat OpenShift

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CloudBees
CloudBees

34
49
+ 1
3
Heroku
Heroku

9.3K
6.9K
+ 1
3.2K
Red Hat OpenShift
Red Hat OpenShift

630
599
+ 1
468
- No public GitHub repository available -
- No public GitHub repository available -

What is CloudBees?

Enables organizations to build, test and deploy applications to production, utilizing continuous delivery practices. They are focused solely on Jenkins as a tool for continuous delivery both on-premises and in the cloud.

What is Heroku?

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

What is Red Hat 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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Why do developers choose CloudBees?
Why do developers choose Heroku?
Why do developers choose Red Hat OpenShift?

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    What are some alternatives to CloudBees, Heroku, and Red Hat OpenShift?
    Jenkins
    In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
    CircleCI
    Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.
    Bamboo
    Focus on coding and count on Bamboo as your CI and build server! Create multi-stage build plans, set up triggers to start builds upon commits, and assign agents to your critical builds and deployments.
    Azure DevOps
    Azure DevOps provides unlimited private Git hosting, cloud build for continuous integration, agile planning, and release management for continuous delivery to the cloud and on-premises. Includes broad IDE support.
    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.
    See all alternatives
    Decisions about CloudBees, Heroku, and Red Hat OpenShift
    Jerome Dalbert
    Jerome Dalbert
    Senior Backend Engineer at StackShare · | 7 upvotes · 21.7K views
    atGratify CommerceGratify Commerce
    Rails
    Rails
    Heroku
    Heroku
    AWS Elastic Beanstalk
    AWS Elastic Beanstalk
    #PaaS

    When creating the web infrastructure for our start-up, I wanted to host our app on a PaaS to get started quickly.

    A very popular one for Rails is Heroku, which I love for free hobby side projects, but never used professionally. On the other hand, I was very familiar with the AWS ecosystem, and since I was going to use some of its services anyways, I thought: why not go all in on it?

    It turns out that Amazon offers a PaaS called AWS Elastic Beanstalk, which is basically like an “AWS Heroku”. It even comes with a similar command-line utility, called "eb”. While edge-case Rails problems are not as well documented as with Heroku, it was very satisfying to manage all our cloud services under the same AWS account. There are auto-scaling options for web and worker instances, which is a nice touch. Overall, it was reliable, and I would recommend it to anyone planning on heavily using AWS.

    See more
    Russel Werner
    Russel Werner
    Lead Engineer at StackShare · | 21 upvotes · 506.2K views
    atStackShareStackShare
    React
    React
    Glamorous
    Glamorous
    Apollo
    Apollo
    Node.js
    Node.js
    Rails
    Rails
    Heroku
    Heroku
    GitHub
    GitHub
    Amazon S3
    Amazon S3
    Amazon CloudFront
    Amazon CloudFront
    Webpack
    Webpack
    CircleCI
    CircleCI
    Redis
    Redis
    #StackDecisionsLaunch
    #SSR
    #Microservices
    #FrontEndRepoSplit

    StackShare Feed is built entirely with React, Glamorous, and Apollo. One of our objectives with the public launch of the Feed was to enable a Server-side rendered (SSR) experience for our organic search traffic. When you visit the StackShare Feed, and you aren't logged in, you are delivered the Trending feed experience. We use an in-house Node.js rendering microservice to generate this HTML. This microservice needs to run and serve requests independent of our Rails web app. Up until recently, we had a mono-repo with our Rails and React code living happily together and all served from the same web process. In order to deploy our SSR app into a Heroku environment, we needed to split out our front-end application into a separate repo in GitHub. The driving factor in this decision was mostly due to limitations imposed by Heroku specifically with how processes can't communicate with each other. A new SSR app was created in Heroku and linked directly to the frontend repo so it stays in-sync with changes.

    Related to this, we need a way to "deploy" our frontend changes to various server environments without building & releasing the entire Ruby application. We built a hybrid Amazon S3 Amazon CloudFront solution to host our Webpack bundles. A new CircleCI script builds the bundles and uploads them to S3. The final step in our rollout is to update some keys in Redis so our Rails app knows which bundles to serve. The result of these efforts were significant. Our frontend team now moves independently of our backend team, our build & release process takes only a few minutes, we are now using an edge CDN to serve JS assets, and we have pre-rendered React pages!

    #StackDecisionsLaunch #SSR #Microservices #FrontEndRepoSplit

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    AWS Elastic Beanstalk
    AWS Elastic Beanstalk
    Heroku
    Heroku
    Ruby
    Ruby
    Rails
    Rails
    Amazon RDS for PostgreSQL
    Amazon RDS for PostgreSQL
    MariaDB
    MariaDB
    Microsoft SQL Server
    Microsoft SQL Server
    Amazon RDS
    Amazon RDS
    AWS Lambda
    AWS Lambda
    Python
    Python
    Redis
    Redis
    Memcached
    Memcached
    AWS Elastic Load Balancing (ELB)
    AWS Elastic Load Balancing (ELB)
    Amazon Elasticsearch Service
    Amazon Elasticsearch Service
    Amazon ElastiCache
    Amazon ElastiCache

    We initially started out with Heroku as our PaaS provider due to a desire to use it by our original developer for our Ruby on Rails application/website at the time. We were finding response times slow, it was painfully slow, sometimes taking 10 seconds to start loading the main page. Moving up to the next "compute" level was going to be very expensive.

    We moved our site over to AWS Elastic Beanstalk , not only did response times on the site practically become instant, our cloud bill for the application was cut in half.

    In database world we are currently using Amazon RDS for PostgreSQL also, we have both MariaDB and Microsoft SQL Server both hosted on Amazon RDS. The plan is to migrate to AWS Aurora Serverless for all 3 of those database systems.

    Additional services we use for our public applications: AWS Lambda, Python, Redis, Memcached, AWS Elastic Load Balancing (ELB), Amazon Elasticsearch Service, Amazon ElastiCache

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    Heroku
    Heroku
    Red Hat OpenShift
    Red Hat OpenShift
    Docker
    Docker

    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.

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    Gunicorn
    Gunicorn
    uWSGI
    uWSGI
    Heroku
    Heroku
    AWS Elastic Beanstalk
    AWS Elastic Beanstalk

    I use Gunicorn because does one thing - it’s a WSGI HTTP server - and it does it well. Deploy it quickly and easily, and let the rest of your stack do what the rest of your stack does well, wherever that may be.

    uWSGI “aims at developing a full stack for building hosting services” - if that’s a thing you need then ok, but I like the principle of doing one thing well, and I deploy to platforms like Heroku and AWS Elastic Beanstalk where the rest of the “hosting service” is provided and managed for me.

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    Munkhtegsh Munkhbat
    Munkhtegsh Munkhbat
    Software Engineer Consultant at LoanSnap · | 9 upvotes · 46.3K views
    graphql-yoga
    graphql-yoga
    Prisma
    Prisma
    PostgreSQL
    PostgreSQL
    styled-components
    styled-components
    Heroku
    Heroku
    React
    React
    Apollo
    Apollo
    GraphQL
    GraphQL
    #Backend
    #Frontend

    In my last side project, I built a web posting application that has similar features as Facebook and hosted on Heroku. The user can register an account, create posts, upload images and share with others. I took an advantage of graphql-subscriptions to handle realtime notifications in the comments section. Currently, I'm at the last stage of styling and building layouts.

    For the #Backend I used graphql-yoga, Prisma, GraphQL with PostgreSQL database. For the #FrontEnd: React, styled-components with Apollo. The app is hosted on Heroku.

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