OpenShift short review
Updated August 15, 2019

OpenShift short review

Andrew Starodubtsev | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source

Software Version


Overall Satisfaction with OpenShift

1. I'm using OpenShift as development / testing / staging environment for almost all web projects.
2. Learning platform to cloud technologies / Computer Science / DevOps (e.g. kubernetes, minishift).
3. An experimenting / testing platform to test new services, functions, features.
4. As a showcasing platform, where staging working prototypes are presented to clients.
  • Integrations (github)
  • Latest versions environments (python, node, etc.)
  • Scalabilty and extensibility
  • Compliance
  • Containers
  • Networking
  • Maybe more python and nodejs apps.
  • Obvious easy deployments convinced clients in shift to cloud technologies.
  • High quality standards.
  • Innovative and motivational culture.
OpenShift is for developers.
Very reposnsive.
OpenShift environments has ssh access, some apps required. Better networking.
OpenShift is effective for almost all, especially advanced and complex web applications and services scenarios.

Red Hat OpenShift Feature Ratings

Ease of building user interfaces
Platform management overhead
Workflow engine capability
Platform access control
Services-enabled integration
Development environment creation
Development environment replication
Issue monitoring and notification
Issue recovery
Upgrades and platform fixes

Using OpenShift

1 - They represent everything related to information technology and marketing. While adopting new emerging big volumes of data it is often / always required to make statistics and analysis of that comparatively large volumes of data to reveal tendencies, patterns, anomalies; and make this data structured, boiled down to essence in the form of several statements / figures, etc. ; easily digestible for various web applications and available in various formats.
1 - 
To support OpenShift and being responsible for OpenShift to work a typical DevOps engineer skills are required; such as:
  • Computer Science knowledge
  • Linux operating system knowledge
  • Python / Go / Rust programming languages, bash scription
  • Git and GitHub – Source code management (Version Control System)
  • Docker – Software Containerization Platform
  • Kubernetes – Container Orchestration tool

  • Showcasing, making demos
  • Experimenting with containers / clusters
  • Production web applications, microservices
  • Small memory footprint allowed 1 Docker container = 1 microservice.
  • After showcasing, web application it can be easily replicated /scaled and prototype / draft can be stopped / deleted.
  • OpenShift can be used for complex products, systems and applications that require networking, scaling, modularity.
  • Open Source contributions and source of "tech inspiration" / business ideas.
For prospective applications OpenShift platform is first choice. OpenShift is constantly innovating and proposing new products or updated services and conditions, especially from developers point of view. To put some time and effort at the beginning (research and development) for reading documentation, making diagrams and the rest is OpenShift auto-'s (auto-scale, auto-upgrade). Never had technical issues with OpenShift platform

Evaluating OpenShift and Competitors

  • Price
  • Product Features
  • Product Usability
  • Product Reputation
  • Vendor Reputation