{"id":177788,"date":"2025-02-20T12:48:35","date_gmt":"2025-02-20T11:48:35","guid":{"rendered":"https:\/\/glosarix.com\/glossary\/ajuste-automatico-en\/"},"modified":"2025-03-28T14:43:06","modified_gmt":"2025-03-28T13:43:06","slug":"automatic-adjustment-en","status":"publish","type":"glossary","link":"https:\/\/glosarix.com\/en\/glossary\/automatic-adjustment-en\/","title":{"rendered":"Automatic adjustment"},"content":{"rendered":"<p>Description: Automatic resource adjustment in response to changing workloads is an essential feature in cloud computing environments. This mechanism allows applications to automatically scale their resources, such as container instances or virtual machines, based on actual demand. When workload increases, the system can add more resources to maintain performance and availability, while during low-demand periods, it can reduce the amount of resources used, thus optimizing costs. This approach not only enhances operational efficiency but also enables organizations to quickly adapt to fluctuations in traffic and user needs. Key features of automatic adjustment include continuous performance metric monitoring, the ability to set custom scaling policies, and integration with other resource management tools. In a world where agility and efficiency are paramount, automatic adjustment has become a standard practice for companies looking to maximize their cloud infrastructure and deliver high-quality service to their users.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: Automatic resource adjustment in response to changing workloads is an essential feature in cloud computing environments. This mechanism allows applications to automatically scale their resources, such as container instances or virtual machines, based on actual demand. When workload increases, the system can add more resources to maintain performance and availability, while during low-demand periods, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"glossary-categories":[11820,11806],"glossary-tags":[12776,12762],"glossary-languages":[],"class_list":["post-177788","glossary","type-glossary","status-publish","hentry","glossary-categories-amazon-elastic-kubernetes-service-en","glossary-categories-cloud-auto-scaling-en","glossary-tags-amazon-elastic-kubernetes-service-en","glossary-tags-cloud-auto-scaling-en"],"post_title":"Automatic adjustment","post_content":"Description: Automatic resource adjustment in response to changing workloads is an essential feature in cloud computing environments. This mechanism allows applications to automatically scale their resources, such as container instances or virtual machines, based on actual demand. When workload increases, the system can add more resources to maintain performance and availability, while during low-demand periods, it can reduce the amount of resources used, thus optimizing costs. This approach not only enhances operational efficiency but also enables organizations to quickly adapt to fluctuations in traffic and user needs. Key features of automatic adjustment include continuous performance metric monitoring, the ability to set custom scaling policies, and integration with other resource management tools. 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