Key Considerations for Cloud Computing

 Cloud computing gives companies:

• Agility
• Flexibility 
• Competitiveness

infrastructure and workloads: the cost of building and operating a data center can be huge, and pay for cloud computing service to have a low initial cost to pay as you go attribute can be significantly cost saving.

* not all workloads are ready for the cloud.

¿Leasing or buying?

It's important that every organization evaluates if paying for application access is a more viable option than purchasing off the shelf software and subsequently investing in upgrades.

Time management

Consider what it means to them to get a new app up and running in "x" hours on the cloud, versus a couple of weeks or months on traditional platforms.

Cost-efficiencies

And the person hours cost efficiencies they gain from using cloud dashboards, real-time statistics and active analytics.

Risk

is more risky to invest in the hardware and software or rent by the hours

Safe

for example, it is a good idea to work on a 12-month plan to build, write, test and release the code if they are uncertain about adoption as a test first.

The benefits of cloud adoption:

• Flexibility: 
• users can scale back or up to fit their needs 
• customize apps
• access cloud services from anywhere. Organization can determinate their level of control with as-a service options. Users can select from a menu of pre-build options and features to build solutions for their specific needs.
• Keep data secure, thanks to:
• virtual private clouds
• encryption
• API keys
• Efficiency
• Enterprise users can get apps to market fast without worrying about underlying infrastructure cost or its maintenance
• cloud base apps and data are accessible from any internet-connected device
• Hardware failure do not result on lost of data 
• Strategic value: because basically any companies don't lose time and resources on implementing infrastructure to manage data, you just pay on a use-basis, and focus on what matter

But let's talk about the challenges that cloud computing has:

• Data security: lost of data
• Governance and sovereignty issues
• Lack of standardization, in the way technologies evolve and work together 
• It is critical choosing the right deployment and service models to serve the specific need of the client
• Business continuity and disaster recovery

You can check the content in depth on cognitive class