Red Hat OpenShift Features

Provides tools for building, deploying, or integrating source code into hosted application.

Provides tools for writing code, editing code, syntax, debugging, or utilizing frameworks.

Provides tools for sharing code, tracking progress, and shipping software.

Supports programming languages such as Java, C, or Python. Support for front-end languages such as HTML, CSS, and JavaScript.

Tests the functionality of a software application. Detects and diagnoses issues in application.

Provides tools for developers to build software and edit container contents.

Creates integrations and allows management of connected contains.

Integrates data with container contents and applications.

Virtualizes operating systems and nests virtualizations within contained environment.

Lets developers manage database services. Provides support for different types of databases and integration methods.

Lets users analyze deployment, user, storage, and business metrics.

Provides tools or bots that scale services and data automatically or on demand.

Stores versions of application and data or incrementally backs up data.

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.

Provides virtual networks and operating systems.

Secures applications, encrypt data, and manage identities.

Allows administrators to control access to specific containers or datasets.

Separates containers based on their specific network and connections.

Isolates containers based on components of the file systems and their state.

Groups containers or applications without altering the container contents.

Defines container connections, balances loads, and organizes routes.

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