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Komodor, Enterprise Kubernetes Management Platform; Dell/EMC - Remote Cluster Manager (RCM) DxEnterprise, [4] from DH2i [5] Evidian SafeKit; HPE Performance Cluster Manager - HPCM, from Hewlett Packard Enterprise Company; IBM PowerHA system mirror; IBM Tivoli System Automation for Multiplatforms, from IBM; Microsoft Cluster Server, from Microsoft
Software Maintainer Category Development status Latest release ArchitectureOCS High-Performance / High-Throughput Computing License Platforms supported Cost Paid support available Amoeba: No active development MIT: Base One Foundation Component Library: Proprietary: DIET: INRIA, SysFera, Open Source All in one
On March 6, 2018, Kubernetes Project reached ninth place in the list of GitHub projects by the number of commits, and second place in authors and issues, after the Linux kernel. [ 26 ] Until version 1.18, Kubernetes followed an N-2 support policy, meaning that the three most recent minor versions receive security updates and bug fixes. [ 27 ]
While in the past Checkmk was designed for monitoring large and heterogeneous on-premises environments, from version 1.5+ (1.5p12) it also supports the monitoring of AWS, Azure, Docker and Kubernetes services.{[citation needed] Checkmk is being developed by Checkmk GmbH [11] in Munich, Germany. Until 16.04.2019 it operated under the name of ...
Harvester is a cloud native hyper-converged infrastructure (HCI) open source software. Harvester was announced in 2020 by SUSE. [2] [3] [4] On 1 December 2020, SUSE acquired Rancher Labs [5] who makes a product called Rancher that manages kubernetes clusters. As of v0.3.0 rancher supports integration with harvester to provide a "single pane of ...
With evaluation is meant the level of achieving the target for a particular evaluation item. There are general "methods" respectively approaches as well as IT-supported "software tools" that enable an effective and efficient work. The following is a list of notable methods and benchmarking software tools.
Autoscaling, also spelled auto scaling or auto-scaling, and sometimes also called automatic scaling, is a method used in cloud computing that dynamically adjusts the amount of computational resources in a server farm - typically measured by the number of active servers - automatically based on the load on the farm.
List of Mac software; List of Macintosh software published by Microsoft; List of Classic Mac OS software; List of mailing list software; List of manual image annotation tools; List of open-source software for mathematics; List of Microsoft software; List of smart TV platforms; List of Mobile Device Management software; List of model checking tools