Been there, done Cloud: Optimize your cloud migration strategy
Many businesses have started leveraging the cloud- whether private, public or hybrid. The main motivating factor for shifting to cloud for any organization is mainly to increase IT agility, accelerate time to market, reduce operational expenses, lower TCO and redundancy, and significantly increase disaster recovery capabilities. Like a whirlwind, cloud adoption is reaching critical masses, with adoption accelerating on daily basis. The result of which businesses are able to achieve massive growth. A recent research report from Gartner has proven that more than 70% of the CIOs have been thinking of shifting their infrastructure to Cloud. Over the next 5 years, Gartner has predicted that there will be at least 44% annual growth in workloads for the cloud vs a much lower 8.9% growth for “on-premise” workloads. By 2019, nearly two-thirds of all workloads will be processed in the cloud.
Understanding the cost factor
Organizations today, should realize that there is no model which exists as one size fits all. To build a migration model for optimal efficiency, it’s important for organizations to effectively understand the current costs of running “on premise” applications, as well as the interim costs associated during the transition. Apart from this, they should also consider, how much will be the overall costs that organizations will be bearing when they scale up their infrastructure both on-premise as well as on cloud.
On-premise data centers have costs associated with the servers, storage, networking, power, cooling, physical space and IT labor required to support applications and services running in the production environment. Many of these costs either gets eliminated or reduced when applications are moved to the AWS platform, but it really helps to know the organizations current IT infrastructure and which applications will be profitable on moving to cloud. Some of the questions that organizations should ponder before migrating from on-premise to cloud are: Read More
Originally published at bluepiit.com on June 6, 2016.