Super important software is deploye on virtual machines for example Jira and Confluence as well as a number of smaller services some kind of telegram bot for reminders. Perhaps there are a number of experimental services and applications individual employees have made themselves convenient tools. For reliability each application or service is running in its own virtual machine . Over time services will become more and more. Some of them will get harder. Some hosts will nee to be turne off for maintenance and sooner or later there will come a time when resources in the infrastructure run out. Problem.
Types Of Clouds Are Increase Performance
An answer to those who know about microservices and Kubernetes even container orchestration and similar tricks still do not guarantee full utilization of capacity. The most obvious thing that can be done is to buy additional capacities. This is a working solution but not everyone can afford it. If you do not buy more you will have to optimize the use of Belgium Email List resources. This is where the limitation of virtual machines in terms of performance comes in handy. Undemanding or infrequently use services can be transferre to virtual machines with limite CPU and memory without compromising the quality of work. Important services in turn can be prioritize so that they always have enough resources. And now we have already save on renting new servers by more wisely distributing existing resources.
Data Security For This Reason The Solution
At the same time the quality of the services did not decrease even more space was free up. Win Why infrastructure providers. If you put on the shoes of a cloud provider say Selectel there will be several more reasons to manage the performance of virtual machines BM Leads More dense resource utilization Its no secret that virtual machines are create on special iron hosts of the cloud provider. They have a lot of memory and cores. Sometimes there are situations when there are free resources on the host but there are so many of them that an adequate configuration for another virtual server does not fit. That is there seems to be a resource in the hardware but not a single configuration fits into it in terms of parameters memory cores.