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Google App Engine vs OpenShift: What are the differences?
# Introduction
Google App Engine and OpenShift are both Platform-as-a-Service (PaaS) solutions that offer cloud services to developers for building, deploying, and scaling applications. Despite serving a similar purpose, they have key differences that developers should consider before choosing one over the other.
1. **Deployment Flexibility**: Google App Engine offers a fully managed platform where developers can deploy their applications, and Google takes care of the underlying infrastructure. On the other hand, OpenShift provides more deployment flexibility by allowing users to choose between deploying applications on their own infrastructure, public cloud, or hybrid cloud environments.
2. **Programming Language Support**: Google App Engine has better support for popular programming languages like Python, Java, Go, Node.js, and Ruby. In contrast, OpenShift supports a broader range of programming languages, including Java, Ruby, PHP, Python, Node.js, and Perl, giving developers more options in choosing the right language for their applications.
3. **Pricing Model**: Google App Engine charges users based on the resources consumed by their applications, including computing power, storage, and network usage. OpenShift, on the other hand, offers a freemium pricing model, allowing users to start for free and then pay for additional features and resources as needed, making it a more cost-effective option for startups and small businesses.
4. **Container Orchestration**: OpenShift is built on top of Kubernetes, an open-source container orchestration platform, which provides advanced container management features like auto-scaling, self-healing, and service discovery. Google App Engine, while providing some container orchestration capabilities, lags behind OpenShift in terms of flexibility and control over containerized applications.
5. **Community Support**: OpenShift has a larger and more vibrant community compared to Google App Engine, providing developers with access to a wealth of resources, tutorials, and community-driven support forums. This makes OpenShift a more attractive option for developers looking to leverage community-driven knowledge and expertise in building and managing cloud-native applications.
6. **Integration with CI/CD tools**: OpenShift provides seamless integration with popular Continuous Integration/Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI, enabling developers to automate the build, test, and deployment processes of their applications. While Google App Engine also supports CI/CD pipelines, OpenShift offers more extensive integration options, giving developers greater flexibility in setting up their automated workflows.
In Summary, Google App Engine and OpenShift differ in terms of deployment flexibility, programming language support, pricing model, container orchestration, community support, and integration with CI/CD tools, making them suitable for different use cases based on developers' requirements.
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Learn MorePros of Google App Engine
Pros of Red Hat OpenShift
Pros of Google App Engine
- Easy to deploy145
- Auto scaling106
- Good free plan80
- Easy management62
- Scalability56
- Low cost35
- Comprehensive set of features32
- All services in one place28
- Simple scaling22
- Quick and reliable cloud servers19
- Granular Billing6
- Easy to develop and unit test5
- Monitoring gives comprehensive set of key indicators5
- Really easy to quickly bring up a full stack3
- Create APIs quickly with cloud endpoints3
- No Ops2
- Mostly up2
Pros of Red Hat OpenShift
- Good free plan99
- Open Source63
- Easy setup47
- Nodejs support43
- Well documented42
- Custom domains32
- Mongodb support28
- Clean and simple architecture27
- PHP support25
- Customizable environments21
- Ability to run CRON jobs11
- Easier than Heroku for a WordPress blog9
- Easy deployment8
- PostgreSQL support7
- Autoscaling7
- Good balance between Heroku and AWS for flexibility7
- Free, Easy Setup, Lot of Gear or D.I.Y Gear5
- Shell access to gears4
- Great Support3
- High Security3
- Logging & Metrics3
- Cloud Agnostic2
- Runs Anywhere - AWS, GCP, Azure2
- No credit card needed2
- Because it is easy to manage2
- Secure2
- Meteor support2
- Overly complicated and over engineered in majority of e2
- Golang support2
- Its free and offer custom domain usage2
- Autoscaling at a good price point1
- Easy setup and great customer support1
- MultiCloud1
- Great free plan with excellent support1
- This is the only free one among the three as of today1
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Cons of Google App Engine
Cons of Red Hat OpenShift
Cons of Google App Engine
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Cons of Red Hat OpenShift
- Decisions are made for you, limiting your options2
- License cost2
- Behind, sometimes severely, the upstreams1
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What is 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.
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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What companies use Google App Engine?
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What companies use Google App Engine?
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Blog Posts
Jan 15 2020 at 11:37AM
Rafay Systems
What are some alternatives to Google App Engine and Red Hat OpenShift?
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.
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.
AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
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.
AWS Elastic Beanstalk
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.