Episode 36: I'm Not Here to Correct Your English, Just Cloud Bills

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Do you enjoy watching sports? Wear your favorite team or player’s jersey? Are you a fan who has shopped at Fanatics on the Cloud?

Today, we’re talking to Johnny Sheeley, director of Cloud engineering at Fanatics, which is a sports eCommerce business that manufactures and sells sports apparel. Fanatics runs Cloud engineering to provide a robust and reliable set of services by building and deploying applications on top of the Azure Data Lake Store (ADLS) platform.

Some of the highlights of the show include:

  • If you compete with Amazon, be ready for it to come after you; some companies avoid its Cloud perspective or go multi-Cloud (paranoia-based movement)
  • Focus on your ability to make your business function smoothly
  • Transition, migration, and abstraction may be painful, but should not stop work; paying for Cloud-agnostic technology may not be worth it
  • Challenges of governing use of Cloud resources to prevent mistakes/problems related to Fanatics’ security and budget
  • Data collected focuses on what’s trending up or down to select an instance type that calculates costs; remain flexible and be aware of what you pay
  • Natural instinct is to blame people; mistakes are made, especially when a human factor is introduced to an automated system
  • Creating a mindset that focuses on feature and detail-oriented is challenging
  • Cottage industry of code bases running in Big Data and other expensive realms
  • As a product continues to evolve and grow, governance comes along for the ride and AWS bills are streamlined
  • Will serverless, Lambda, and RDS change how Amazon charges in the future?
  • State of scale of AWS and developing a more palatable method for releases because people can’t keep up with them and stop paying attention
  • Two-Pizza Team: Amazon’s management philosophy that any team that works on a service should be able to be fed with two pizzas
  • Such small teams work quickly and have the freedom to fail, but Amazon has a reliability for the longevity of its different services

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69 episodes available. A new episode about every 0 hours averaging 35 mins duration .