There has been a rush towards cloud computing in a large part of cost-conscious IT departments that look towards the cloud as the next step in virtualization and probably the best solution to stretching IT budgets. But with the need to provide fully elastic services in the industry, cloud computing does scale in real-time. Does that mean that IT should turn its eye away from the bottom line?
CMP – Solution to Minimizing Cost Using the Cloud:
With the goal of minimizing costs and maximizing performance, rightsizing is put into play. This refers to virtual machine allocation in your infrastructure, based on resource workload thereby minimizing cost and maximizing performance. By analyzing data that monitors individual virtual machines, you can recommend changes to resource allocation. Using a cloud management platform one can also collect performance metrics that identify average and peak resource consumption over a specific period. When these metrics are seen below the normal threshold, the cloud management platform makes recommendations to a smaller, more appropriate instance type.
- Power Scheduling:
Making and keeping track of the power consumed while running programs in the public cloud can help you keep costs down. Maintaining a power schedule helps you configure times when your team needs to restart and shut down usage. This prevents them from running overnight and during the weekends when nobody is using them, but you are PAYING for. As you pay for public cloud usage by the hour, a schedule that turns it off by 7 pm and restarts at 7 am can save you more than 65% of your regular costs versus an instance when it runs continuously and even during the weekends.
- Lifecycle Management:
Especially for public clouds, lifecycle management is essential and its usage is quite clear. Workloads that have been powered off and are out of date can be inadvertently powered on, and have the potential to increase monthly bills. Using unmanaged virtual machine sprawls can create a negative impact by wasting resources. One solution to help with the same is by assigning an expiration or decommissioning date to a virtual machine which is created. This excludes the core infrastructure VMs or VMs which run workloads that are critical.
- Cloud Cost Analytics:
Using reports that provide clarity on a cost comparison, cost visibility and chargeback; one can educate business units on determining workload placements, which could affect costs based on technical requirements and usage. Many such corporates run comparisons to identify that the results are not apples to apples, but apples to oranges.
- AWS Reserved Instances:
One of the ways to control computer costs is by using AWS, Amazon EC2 Reserved Instances (RIs), which allows you to fall-back on EC2 computing capacity, which benefits in alteration of considerably reduced hourly rates. This can be as high as 75% in comparison with On-Demand Instance pricing. While choosing RIs the best case would be to go for one with very stable usage patterns. These can benefit you in accomplishing the highest savings with rapid ROI while minimizing the possible effect of future unused resources.
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