OpenShift VS Heroku
When it comes to deploying applications, choosing the right platform can make a big difference. Two popular options are OpenShift and Heroku. In this post, we'll compare them both and help you figure out which one is the right choice for your needs.
Overview
OpenShift is a cloud-based platform as a service (PaaS) that allows developers to deploy, scale, and manage applications. It's built on top of Kubernetes, an open-source container orchestration system that automates the deployment, scaling, and management of containerized applications.
Heroku is also a cloud-based PaaS that developers can use to deploy, manage, and scale applications. It's known for its ease of use, seamless integration with other platforms, and focus on developer productivity.
Pricing
Pricing is always an important consideration when choosing a platform. OpenShift has a variety of pricing tiers, ranging from a free tier to an Enterprise tier. Heroku's pricing is based on dyno hours and add-ons. A dyno is a lightweight, isolated Linux container that runs a single web process.
For example, on the free tier, OpenShift provides 2GB of memory, while Heroku provides 512MB. In addition, OpenShift allows you to deploy up to 3 small-sized applications, while Heroku provides only 1. However, the paid tier of Heroku provides more memory per dyno hour.
Features
Both OpenShift and Heroku offer a wealth of features to help developers deploy and manage applications. Here are a few key features of each platform:
OpenShift
- Automated scaling
- Continuous delivery
- Self-service provisioning
- Multi-language support
- Open-source
- Built on top of Kubernetes
- Integration with other Red Hat products
Heroku
- Automated scaling
- Continuous delivery
- Heroku add-ons for databases and other services
- Collaboration tools
- One-click deployment
- Integration with Salesforce products
- Heroku review apps
Performance
When it comes to performance, both OpenShift and Heroku are highly reliable and efficient platforms. The difference largely depends on the specific needs of your applications. For example, Heroku's easily configurable scaling options make it a go-to choice for web apps with highly variable traffic patterns. OpenShift, on the other hand, is better suited for complex applications that need advanced scaling and orchestration features.
Conclusion
Choosing the right platform between OpenShift and Heroku ultimately depends on your specific needs. OpenShift offers a more powerful and flexible infrastructure and is better suited for complex applications. In contrast, Heroku is perfect for smaller projects with a simple architecture, reducing complexity and the amount of time required from developers to get into production quickly.
Both platforms have their strengths, and it's essential to consider all factors before deciding on the right one. At the end of the day, you must carefully evaluate your specific application requirements, budget, and priorities to choose the best solution!