Cloud Cost Optimization

The public cloud market is complex and confusing. We can help make it simple, cheaper and more transparent. It all happens through CloudBank Enterprise, a higher education cloud cost optimization service.

Working with the team from UC San Diego IT Services, and our partner, Strategic Blue, we can help you:

• Buy cloud your way
• Understand what you buy
• Get the best pricing

The CloudBank Enterprise service can be deployed across the major providers, such as Amazon Web Services, Microsoft Azure, and Google Cloud, whether you work with all three or just one. 

Send us a note to cloudbankenterprise@ucsd.edu to learn more! 

July 6 Webinar:

CloudBank with AWS: Simple, Secure and Affordable Cloud for Higher Education 

July 6, 11 a.m. EDT / 8 a.m. PDT

Register now!

Higher education CIOs and university IT managers are invited to the upcoming webinar "CloudBank with AWS: Simple, Secure, and Affordable Cloud for Higher Education" hosted by UC San Diego CIO Dr. Vince Kellen and Strategic Blue CEO Dr. James Mitchell. This session is a follow-up of our March 18 webinar "Cloud Cost Optimization Strategies."

The CloudBank Enterprise solution saves university administrators time and money, taking the guesswork and risk out of using the Cloud for users who want the power and flexibility of the Cloud while maintaining control of their computing environments.

Join the team from UC San Diego, and its partner, Strategic Blue, on Tuesday July 6 as we discuss cloud management and optimization strategies for all the new tools and resources that AWS makes available. 

At the webinar you will learn:

• Financial Operations for the Cloud and why they are important
• How to conduct a FinOps review to understand Cloud spend
• The top 10 ways to spend less on basic

  Cloud Computing Services provide information technology (IT) as a service over the Internet or dedicated network, with delivery on demand, and payment based on usage. Cloud computing services range from full applications and development platforms, to servers, storage, and virtual desktops. [Source: Dell]

  and more on powerful tools like AI 

We’ll share tips and tricks on how to:

• Reduce cost, complexity, and risk for cloud services
• Stay in control of cloud investments while using

  Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. [Source: Wikipedia]

  , Advanced

  Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make informed business decisions. [Source: TechTarget]

  , and High Performance Computing
• Predict and manage growth with

  Cloud Computing Services provide information technology (IT) as a service over the Internet or dedicated network, with delivery on demand, and payment based on usage. Cloud computing services range from full applications and development platforms, to servers, storage, and virtual desktops. [Source: Dell]

  ,

  Cloud storage is a service model in which data is transmitted and stored on remote storage systems, where it is maintained, managed, backed up and made available to users over a network (typically the internet). [Source: TechTarget]

  , Networking, and more advanced tools like AI, ML, and HPC

And we’ll share a case study of how UC San Diego has used FinOps to increase ROI from their Cloud. 

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