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Apache HttpComponents: low-level Java libraries for HTTP; Hudi: provides atomic upserts and incremental data streams on Big Data; Iceberg: an open standard for analytic SQL tables, designed for high performance and ease of use. Ignite: an In-Memory Data Fabric providing in-memory data caching, partitioning, processing, and querying components [8]
Jakarta Enterprise Beans 4.0, as a part of Jakarta EE 9, was a tooling release that mainly moved API package names from the top level javax.ejb package to the top level jakarta.ejb package. [ 39 ] Other changes included removal of deprecated APIs that were pointless to move to the new top level package and the removal of features that depended ...
The Eclipse top-level project has been named Eclipse Enterprise for Java (EE4J). [4] The Eclipse Foundation could not agree with Oracle over the use of javax and Java trademarks. [5] Oracle owns the trademark for the name "Java" and the platform was renamed from Java EE to Jakarta EE.
The main classes of Docker objects are images, containers, and services. [22] A Docker container is a standardized, encapsulated environment that runs applications. [25] A container is managed using the Docker API or CLI. [22] A Docker image is a read-only template used to build containers. Images are used to store and ship applications. [22]
A container represents an application or a data store; Component diagrams (level 3): decompose containers into interrelated components, and relate the components to other containers or other systems; Code diagrams (level 4): provide additional details about the design of the architectural elements that can be mapped to code.
The following projects were formerly part of Jakarta, but now form independent projects within the Apache Software Foundation: Ant - a build tool; Commons - a collection of useful classes intended to complement Java's standard library. HiveMind - a services and configuration microkernel; Maven - a project build and management tool
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In software engineering, containerization is operating-system–level virtualization or application-level virtualization over multiple network resources so that software applications can run in isolated user spaces called containers in any cloud or non-cloud environment, regardless of type or vendor. [1]