Question:- how do technologies such as virtual machines and containers help improve operational efficiency?
- by eliminating the need for cloud data centers altogether
- by allowing multiple applications to run on a single server
- by spreading energy consumption across multiple locations
- by reducing the consumer demand for cloud computing services
- i don’t know this yet.
Answer:-The correct answer of 2. by allowing multiple applications to run on a single server
Explanation:
Virtual machines (VMs) and containers increase operational effectiveness by allowing for several applications and workloads to execute on one physical server. This enables organizations to consolidate server infrastructure and reduce the number of physical servers they need.
Some key ways VMs and containers improve efficiency:
Server virtualization –Instead of reserving a physical server for each application or task, several VMs or containers can run on the same host. This minimizes server sprawl, energy consumption and costs.
Better resource utilization Servers usually don’t fully use their capacity. VMs and containers allow workloads to dynamically share resources based on the need, increasing utilization.
Portability – VMs and containers simplify workloads logged simultaneously on the underlying infrastructure rendering them portable in servers. This facilitates a dynamic load deployment and migration of resources.
Scalability of resources – It is straightforward to provision new VMs and containers in order to scale workloads up or down as required. This flexibility allows resources to be adjusted according to the demand on workload.
Faster deployment- The automation of VM and container provisioning allows easier deployment of new environments as opposed to manually setting up physical servers. This fastens the delivery of new applications and services.
Overall, VMs and containers support “server consolidation”- running a number of workloads effectively on shared infrastructure. This flexibility facilitates the advancement of organizations in aspects like resource utilization, deployment agility, scalability and operational efficiency.
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