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Container clusters need to be managed. This includes functionality to create a cluster, to upgrade the software or repair it, balance the load between existing instances, scale by starting or stopping instances to adapt to the number of users, to log activities and monitor produced logs or the application itself by querying sensors.
The following tables compare general and technical information for notable computer cluster software. This software can be grossly separated in four categories: Job scheduler, nodes management, nodes installation and integrated stack (all the above).
OpenShift is a family of containerization software products developed by Red Hat.Its flagship product is the OpenShift Container Platform — a hybrid cloud platform as a service built around Linux containers orchestrated and managed by Kubernetes on a foundation of Red Hat Enterprise Linux.
Containers emerged as a way to make software portable. The container contains all the packages needed to run a service. The provided file system makes containers extremely portable and easy to use in development. A container can be moved from development to test or production with no or relatively few configuration changes.
Laravel 8 was released on September 8, 2020, with new features like Laravel Jetstream, model factory classes, migration squashing, Tailwind CSS for pagination views and other usability improvements. [20] Laravel 9 was released on February 8, 2022. [13] Laravel 10 was released on February 14, 2023. [21] Laravel 11 was released on March 12, 2024.
BookStack is a free and open-source wiki software aimed for a simple, self-hosted, and easy-to-use platform. Based on Laravel, a PHP framework, BookStack is released under the MIT License.
Singularity is a free and open-source computer program that performs operating-system-level virtualization also known as containerization. [4]One of the main uses of Singularity is to bring containers and reproducibility to scientific computing and the high-performance computing (HPC) world.
A key difference between this approach and running cluster-aware applications is that the latter can deal with server application crashes and support live "rolling" software upgrades while maintaining client access to the service (e.g. database), by having one instance provide service while another is being upgraded or repaired.