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Cloudify vs OpenShift: What are the differences?
<Write Introduction here>
1. **Deployment Models**: Cloudify supports multi-cloud and hybrid cloud deployments, allowing users to take advantage of resources across various cloud providers. On the other hand, OpenShift is more focused on container orchestration within a single cloud environment.
2. **Supported Technologies**: Cloudify is technology agnostic and can be integrated with a wide range of tools and platforms, providing flexibility in deployment. OpenShift, being a Kubernetes-based platform, is more oriented towards containerized applications and microservices.
3. **Customization and Extensibility**: Cloudify offers extensive customization options through its TOSCA-based templates, enabling users to tailor their deployments according to specific needs. OpenShift, while configurable, may have limitations compared to Cloudify in terms of customization options.
4. **Community and Support**: OpenShift benefits from the backing of the vibrant Kubernetes community, ensuring regular updates, contributions, and support. Cloudify also has a community around it but may not be as extensive as the Kubernetes community supporting OpenShift.
5. **Scalability and Performance**: OpenShift is known for its scalability and performance in managing large-scale containerized applications, suited for enterprise-level deployments. Cloudify, while also scalable, may require additional configurations for handling similar workloads efficiently.
6. **Ease of Use and Learning Curve**: OpenShift provides a more straightforward user interface and setup process, making it easier for developers and administrators to get started with containerized applications. Cloudify, with its advanced features and capabilities, may have a steeper learning curve for users unfamiliar with its concepts and functionalities.
In Summary, Cloudify and OpenShift differ in deployment models, supported technologies, customization options, community support, scalability, and ease of use.
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Learn MorePros of Cloudify
Pros of Red Hat OpenShift
Pros of Cloudify
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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 Cloudify
Cons of Red Hat OpenShift
Cons of Cloudify
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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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- No public GitHub repository available -
What is Cloudify?
Orchestrate real apps on the cloud with Cloudify, an open source application management framework that allows users to manage even the most complex apps by automating their DevOps processes.
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 Cloudify?
What companies use Red Hat OpenShift?
What companies use Cloudify?
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What tools integrate with Cloudify?
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Blog Posts
Jan 15 2020 at 11:37AM
Rafay Systems
What are some alternatives to Cloudify and Red Hat OpenShift?
OpenStack
OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.
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.
Ansible
Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.
Cloud Foundry
Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications.
Terraform
With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.