Cloud Computing Pricing Strategy Practice

Three reasons why MobileForce is your one stop shop for all your cloud computing pricing strategy needs!

1. MobileForce has built an advanced, highly flexible, what-if slice and dice enabled pricing analysis and comparator tool for AWS EC2, Google Cloud Compute Engine, and MS Azure Compute VMs hosted on a variety of operating systems. We call the tool CLIPPERTM (CLoud Infrastructure Pricing and Performance AnalyzER).True to our using cloud as a force multiplier, we have developed the advanced spreadsheet tool on the Google Cloud using Google Sheets. We constantly analyze and price compare these services, and so are able to share critical insights about these services and help you plan the best possible solution.
2. MobileForce's subsidiary Accuserve has revenue modeled hundreds of venture financed SaaS firms and can readily translate how your business will scale into a reliable cloud computing forecast capacity. 
3. MobileForce also has in-depth expertise in bundling wireless 4G data capacity with cloud computing solutions and structuring pricing that are easy to understand and of consistent basis (pay as you go or reserved or stackable) across both cloud computing and mobility platforms. 

Engage MobileForce!
A presenter at a Google Cloud Conference said you need PhDs to make sense of cloud computing pricing offered by the major CSPs. We say you don't need one. Let MobileForce do all the heavy lifting for you as you focus on scaling your business and delighting your customers. Click here to check us out also on our LinkedIn Showcase Page. 
We believe SMBs have a plethora of questions plaguing them when planning for a scalable cloud computing program. If you face questions such as below in your operating environment, MobileForce consultants would be delighted to provide you with many of the answers you seek! 

1. How do I translate my customer growth numbers in my forecast business plan into an instance-hours forecast for the next 36 months? Generally, a good long term forecast is what will get you the best possible rates. 
2. Is running a Windows Instance on AWS more cost effective than running a Windows Instance on Microsoft Azure?
3. Who gives the best bang for the buck for a Linux VM Instance?
4. Should I use an on-demand (pay-as-you-go) pricing scheme or a reserved, locked-in instance pricing scheme?
5. What should be the lock-in period that is optimal for me for a reserved instance?
6. If running a Windows with SQL Server VM, which type  of SQL Service is cost effective  - SQL Web, SQL Standard or SQL Enterprise?
7. Which CSP's pricing structure best aligns with my revenue model? 
8. How does including add-on load balancing services such as AWS Elastic Map Reduce affect my cloud computing budget?
9. I am ready to pay top dollars but I want to be sure that I pay for the top rated compute power. How do I calculate this?
10. What spend and commit levels do I really have to achieve to get all those discounts that CSPs dangle?

Still not convinced? 
Review the sample work and specific analytical expertise we have presented in the sub-links to this page. We have comparative analysis for hypothetical but likely to occur scenarios. We also have a specific case study on how we saved 75% in cloud computing fees. If you need to learn more, do contact us.