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Kubernetes cost monitoring applications allow breakdown of costs by pods, nodes, namespaces, and labels. Cluster-level logging To prevent the loss of event data in the event of node or pod failures, container logs can be saved to a central log store with a search/browsing interface.
Microsoft Azure, or just Azure (/ˈæʒər, ˈeɪʒər/ AZH-ər, AY-zhər, UK also /ˈæzjʊər, ˈeɪzjʊər/ AZ-ure, AY-zure), [5] [6] [7] is the cloud computing platform developed by Microsoft. It has management, access and development of applications and services to individuals, companies, and governments through its global infrastructure.
Azure Linux, previously known as CBL-Mariner (in which CBL stands for Common Base Linux), [3] is a free and open-source Linux distribution that Microsoft has developed. It is the base container OS for Microsoft Azure services [ 4 ] [ 5 ] and the graphical component of WSL 2 .
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. Checkmk is being developed by Checkmk GmbH [11] in Munich, Germany. Until 16.04.2019 it operated under the name of Mathias Kettner GmbH ...
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.
NEW YORK (Reuters) -Damian Williams, the top federal prosecutor in Manhattan who secured convictions of high-profile defendants including U.S. Senator Bob Menendez and crypto mogul Sam Bankman ...
Put the phone down and grab a book. Whether you prefer a steamy romance novel, a fascinating piece of nonfiction, or a moody mystery, reading boasts tons of benefits for your brain.
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.