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Zaki Medina
Zaki Medina
Multicloud Solution Architect

Exponential Change Leader and a Life-Long Ultra-Learner with a proven track record of transforming businesses via data science driven analytics, information technology, pervasive automation and business model innovation techniques. Highly skilled at leading through influence across complex corporate organizations. Consistent theme throughout my career is that of championing exponential change by combining existing and new technologies to pivot business models and create scalable and sustainable Digital Transformation initiatives.

Experienced leader of data science, analytics and technical teams with an advanced understanding of data engineering, data science, MLOps and Responsible AI technologies and the appropriate application of these technologies to solve problems at a massive scale within domains such as Retail, E-commerce, Multi-sided Marketplaces, Finance & Banking, Energy, Manufacturing and Healthcare.

Additionally, I bring strong leadership skills where I create expanded results for large, diverse and geographically dispersed teams. I have a strong desire for continuous learning, growth and development to keep my approaches, skills and leadership relevant by teaching Data Science and AI within Azure certification tracks. I have personally supported the learning journeys as an Instructor and Coach for over thousands of aspiring Data Scientists and I am in the top 3% on the planet as a Data Science Instructor for Azure instructors.

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  3. We won’t cover all of these in this blog, but these design principles highlight the differences between being your own data center and relying on any cloud hosting provider, AWS or otherwise.

    Let’s dive in.

    Principle #1: Stop guessing your capacity needs

    I recall an enterprise I worked with that spent 8 months out of the year dedicating most of the IT to capacity planning.

    They asked all kinds of questions:

    • How many servers do we need?
    • How are we going to save money?
    • Where are we going to be needed?
    • What is our change window for doing the physical installation (racking and stacking) of equipment in our on-prem data center?
    • How are we handling functional testing and load testing?
    • And the list goes on and on.

    Guess what? When you operate in the cloud, you no longer worry about these questions because AWS takes care of all of it! Imagine all the time your IT team will save without this responsibility.

    Principle #2: Test systems at production scale

    You can always spin up temporary resources for testing for your Quality Assurance tests to match your production scale, then scale down or remove them when you no longer need them, which is typically after testing is complete. That way you only pay for the resources consumed, rather than any ideal capacity.

    Principles #3 and #4: Automate for architectural experimentation and Allow for evolutionary infrastructure

    These two principles may be the most important of the six. When you automate and evolve, you open the door to innovation.

    When you h

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