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Borg is a cluster manager used by Google since 2008 or earlier. [ 1 ] [ 2 ] It led to widespread use of similar approaches, such as Docker and Kubernetes . [ 3 ]
Unlike Borg, which was written in C++, [15] Kubernetes is written in the Go language. Kubernetes was announced in June, 2014 and version 1.0 was released on July 21, 2015. [ 18 ] Google worked with the Linux Foundation to form the Cloud Native Computing Foundation (CNCF) [ 19 ] and offered Kubernetes as the seed technology.
Borg, used at Google; Bright Cluster Manager, from Bright Computing; ClusterVisor, [2] from Advanced Clustering Technologies [3] CycleCloud, from Cycle Computing acquired By Microsoft; Komodor, Enterprise Kubernetes Management Platform; Dell/EMC - Remote Cluster Manager (RCM) DxEnterprise, [4] from DH2i [5] Evidian SafeKit
This page was last edited on 15 July 2017, at 21:00 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...
Apache Aurora is a Mesos framework for both long-running services and cron jobs, originally developed by Twitter starting in 2010 and open sourced in late 2013. [12] It can scale to tens of thousands of servers, and holds many similarities to Borg [13] [14] including its rich domain-specific language (DSL) for configuring services.
Kubeflow is an open-source platform for machine learning and MLOps on Kubernetes introduced by Google.The different stages in a typical machine learning lifecycle are represented with different software components in Kubeflow, including model development (Kubeflow Notebooks [4]), model training (Kubeflow Pipelines, [5] Kubeflow Training Operator [6]), model serving (KServe [a] [7]), and ...
One of the most notable events from this period was the emergence of Kubernetes, a project funded by Hölzle. [30] Google's internal cloud doesn't use virtualization, but product development on an external cloud platform started in 2014, leading to the launch of the Google Cloud Platform in 2016. Hölzle is also credited with changing Google ...
cgroups (abbreviated from control groups) is a Linux kernel feature that limits, accounts for, and isolates the resource usage (CPU, memory, disk I/O, etc. [1]) of a collection of processes.