IBM WebSphere Features

Supports duplication of application or the system in order to improve system reliability. 11 reviewers of IBM WebSphere have provided feedback on this feature.

As reported in 11 IBM WebSphere reviews. Supports management of web and application servers.

Offers profile support for Jakarta EE(Java EE), MicroProfile versions. This feature was mentioned in 11 IBM WebSphere reviews.

Offers support for web-based frameworks such as Google Web Toolkit, Spring, Angular JS among several others. 11 reviewers of IBM WebSphere have provided feedback on this feature.

Continous data exchange between application server and client applications.

Supports single pane of view dashboard for visibility across applications, containers, workloads. 10 reviewers of IBM WebSphere have provided feedback on this feature.

Easy deployment of application patches or security updates via the application server. 12 reviewers of IBM WebSphere have provided feedback on this feature.

Supports real-time visibility (a complete and clear view) of application deployment and application awareness. This feature was mentioned in 10 IBM WebSphere reviews.

Supports management capabilities to help users on their application modernization journey be it public, private or even hybrid clouds. 10 reviewers of IBM WebSphere have provided feedback on this feature.

As reported in 11 IBM WebSphere reviews. Developers can use APIs to build and deploy microservices-based applications.

Based on 10 IBM WebSphere reviews. Provides analysis on on-premises workloads for users on their modernization journey.

Improved performance and dlexibility of modern application environments due to modular architecture and services-driven components.

Supports any type of application - legacy, monolithic, cloud-native

Ensures complete REST API and command line interface (CLI) support

Support for GPU, Arm-based processor applications

Supports building, deployment and management of cloud-native applications.

Ensures system's self healing capacity.

Runs applications via connected clusters

Supports scalability based on nodes, and user can spin up nodes when needed.

Provides automatic security updates and timely upgrades

Ensures build and deployment practices to ensure container security. Secures the container deployment environment and infrastructure.

Determine optimal scaling strategies using AI algorithms to ensure application responsiveness under varying loads.

Predicts potential coding errors during the development phase to prevent future bugs.

Analyzes historical data using AI to forecast resource needs and optimize allocation without manual intervention.

Utilizes advanced AI algorithms to detect anomalies in server operations that could indicate security or performance issues.

Monitors network traffic using AI to identify and respond to unauthorized access attempts in real-time.

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

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives