Red Hat OpenShift Features

As reported in 23 Red Hat OpenShift reviews. Provides tools for building, deploying, or integrating source code into hosted application.

Provides tools for writing code, editing code, syntax, debugging, or utilizing frameworks. 17 reviewers of Red Hat OpenShift have provided feedback on this feature.

Provides tools for sharing code, tracking progress, and shipping software. 17 reviewers of Red Hat OpenShift have provided feedback on this feature.

As reported in 18 Red Hat OpenShift reviews. Supports programming languages such as Java, C, or Python. Support for front-end languages such as HTML, CSS, and JavaScript.

As reported in 16 Red Hat OpenShift reviews. Tests the functionality of a software application. Detects and diagnoses issues in application.

Provides tools for developers to build software and edit container contents. This feature was mentioned in 27 Red Hat OpenShift reviews.

As reported in 30 Red Hat OpenShift reviews. Creates integrations and allows management of connected contains.

As reported in 25 Red Hat OpenShift reviews. Integrates data with container contents and applications.

Virtualizes operating systems and nests virtualizations within contained environment. This feature was mentioned in 26 Red Hat OpenShift reviews.

Lets developers manage database services. Provides support for different types of databases and integration methods. 21 reviewers of Red Hat OpenShift have provided feedback on this feature.

Lets users analyze deployment, user, storage, and business metrics. This feature was mentioned in 21 Red Hat OpenShift reviews.

Provides tools or bots that scale services and data automatically or on demand. This feature was mentioned in 22 Red Hat OpenShift reviews.

Based on 21 Red Hat OpenShift reviews. Stores versions of application and data or incrementally backs up data.

As reported in 22 Red Hat OpenShift reviews. Provides scalable cloud storage for different forms of data. Store analytics and records for reporting.

Allows users to provision networks, deliver content, balance loads, and manage traffic. 23 reviewers of Red Hat OpenShift have provided feedback on this feature.

Provides virtual networks and operating systems. This feature was mentioned in 20 Red Hat OpenShift reviews.

Based on 24 Red Hat OpenShift reviews. Secures applications, encrypt data, and manage identities.

As reported in 32 Red Hat OpenShift reviews. Allows administrators to control access to specific containers or datasets.

Separates containers based on their specific network and connections. This feature was mentioned in 31 Red Hat OpenShift reviews.

As reported in 30 Red Hat OpenShift reviews. Isolates containers based on components of the file systems and their state.

As reported in 32 Red Hat OpenShift reviews. Groups containers or applications without altering the container contents.

As reported in 33 Red Hat OpenShift reviews. Defines container connections, balances loads, and organizes routes.

Based on 31 Red Hat OpenShift reviews. Runs applications through connected clusters.

Allocates host resource to create additional instances quickly.

Provides efficient server and storage migration between hosts.

Creates recovery data in other hosts automatically.

Runs smoothly with a variety operating systems (Windows, Linux, etc.).

Optimizes CPU and storage resource efficiently.

Monitors virtual workload and physical hardware performance at a glance.

Meets data protection and compliance standards.

Alerts over email, text, phone call, or more to multiple parties.

Provides information related to unnecessary spending and unused resources.

Gives alerts when incidents arise.

Optimizes resource allocation.

Consistently monitors processes for applications and IT infrastructure to detect anomalies in real-time.

Sets up standard performance baseline to compare live container activities.

Traces connections between different containerized environments and detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Diagnoses and resolves incidents without the need for human interaction.

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.

Allows users to search logs for troubleshooting and open-ended exploration of data.

Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Allows users to track log trends.

Directly identifies, or increases identification speed for, root causes for container issues.

Provides paths, suggestions, or other general assistance towards issue resolution.

Proactively identifies trends on container systems that could lead to failures or errors.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives