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  1. Stackups
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  4. Platform As A Service
  5. Rafay Systems vs Red Hat OpenShift

Rafay Systems vs Red Hat OpenShift

OverviewComparisonAlternatives

Overview

Red Hat OpenShift
Red Hat OpenShift
Stacks1.6K
Followers1.4K
Votes517
GitHub Stars885
Forks510
Rafay Systems
Rafay Systems
Stacks9
Followers21
Votes0

Rafay Systems vs Red Hat OpenShift: What are the differences?

Introduction: Rafay Systems and Red Hat OpenShift are two popular platforms for managing containerized applications. Understanding the key differences between the two can help organizations make informed decisions about which platform best suits their needs.

  1. Deployment Model: Rafay Systems offers a cloud-native platform as a service (PaaS) solution that helps companies simplify the deployment and management of applications across multiple clouds. On the other hand, Red Hat OpenShift is an enterprise Kubernetes platform that provides flexibility in deployment models, allowing users to deploy applications on-premises, in the cloud, or in a hybrid environment.

  2. Support and Documentation: Rafay Systems provides comprehensive support and documentation to help users navigate their platform and troubleshoot issues effectively. In contrast, Red Hat OpenShift offers extensive support resources, including a large community of users, official documentation, and access to Red Hat's support services.

  3. Customization and Control: Rafay Systems prioritizes simplicity and ease of use, offering a more streamlined approach to managing containerized applications. Red Hat OpenShift, on the other hand, provides users with greater customization and control over their deployments, allowing for more fine-tuned configurations and optimizations.

  4. Security Features: Rafay Systems emphasizes security in all aspects of their platform, offering robust security features and compliance capabilities out of the box. Red Hat OpenShift also prioritizes security, providing built-in security controls, such as role-based access control (RBAC) and container image scanning, to help users secure their applications and data.

  5. Scalability and Performance: Rafay Systems is designed to scale easily and efficiently, allowing users to deploy and manage large numbers of applications across multiple environments. Red Hat OpenShift is known for its scalability and performance capabilities, providing users with the tools needed to optimize their deployments for high availability and performance.

  6. Cost and Licensing: Rafay Systems offers a flexible pricing model that is based on usage and tailored to each customer's specific needs. Red Hat OpenShift, as an enterprise-grade platform, typically requires a licensing fee for full access to all features and support services, which may be a consideration for organizations with budget constraints.

In Summary, understanding the key differences between Rafay Systems and Red Hat OpenShift in terms of deployment model, support and documentation, customization and control, security features, scalability and performance, and cost and licensing can help organizations make informed decisions about which platform best suits their containerized application management needs.

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Detailed Comparison

Red Hat OpenShift
Red Hat OpenShift
Rafay Systems
Rafay Systems

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.

Rafay's automation framework provides multi-cluster management and app operations at scale. Create, deploy, operate, monitor, upgrade and retire Kubernetes clusters & k8s-resident applications across multi-regions, clouds and environments.

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;Autoscaling- OpenShift can scale your application by adding additional instances of your application and enabling clustering. Alternatively, you can manually scale the amount of resources with which your application is deployed when needed;OpenShift by Red Hat is built on open-source technologies (Red Hat Enterprise Linux- RHEL);One Click Deployment- Deploying to the OpenShift platform is as easy a clicking a button or entering a "Git push" command
CI/CD integration; Multi-Cloud abstractions; Customizable, In-cluster scaling; Cross-cluster deployment & scaling; Global traffic steering and API management; Dynamic workload placement; App log & metric aggregation; Operational debugging and diagnostics; Data & State synchronization; Config synchronization; Canary / Rolling upgrades; App health tracking
Statistics
GitHub Stars
885
GitHub Stars
-
GitHub Forks
510
GitHub Forks
-
Stacks
1.6K
Stacks
9
Followers
1.4K
Followers
21
Votes
517
Votes
0
Pros & Cons
Pros
  • 99
    Good free plan
  • 63
    Open Source
  • 47
    Easy setup
  • 43
    Nodejs support
  • 42
    Well documented
Cons
  • 2
    Decisions are made for you, limiting your options
  • 2
    License cost
  • 1
    Behind, sometimes severely, the upstreams
No community feedback yet
Integrations
No integrations available
Gmail
Gmail
Datadog
Datadog
Slack
Slack
Amazon EKS
Amazon EKS
PagerDuty
PagerDuty
Azure Cosmos DB
Azure Cosmos DB
OpenStack
OpenStack
Vault
Vault
Sumo Logic
Sumo Logic
Kubernetes
Kubernetes

What are some alternatives to Red Hat OpenShift, Rafay Systems?

Heroku

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.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

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.

AWS Elastic Beanstalk

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.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

PythonAnywhere

PythonAnywhere

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

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