AWS Cloud Enterprise Strategy Blog

Joe Chung

Author: Joe Chung

Joe joined AWS as Enterprise Strategist & Evangelist in November 2016. In this role, Joe works with enterprise technology executives to share experiences and strategies for how the cloud can help them increase speed and agility while devoting more of their resources to their customers. Joe earned his bachelor's degree in mechanical engineering from the University of Michigan at Ann Arbor. He also earned his master's in business administration from Kellogg's Management School of Business at Northwestern University.

Part 2: Microservices: Technical, Organizational, or Business Architecture? Yes

Organizations which design systems…are constrained to produce designs which are copies of the communication structures of these organizations. — M. Conway In a previous post, I covered what microservices are and their benefits. My aim was to help non-technical executives understand what microservices are and the role they play in supporting business objectives. Implemented correctly, a microservices architecture […]

Part 1: Microservices: Technical, Business, or Organizational Architecture? Yes

With a bucket of Legos, you can tell any story. You can build an airplane or a dragon or a pirate ship—it’s whatever you can imagine. Christopher Miller One of the hallmarks of any digital transformation is increased speed and agility. Decisions need to be made more quickly using data and algorithms. Digital services need […]

Cloud Worry or Risk?

I have the privilege of speaking to hundreds of customers a year to talk about how AWS can help their businesses deliver more value to their customers, become more agile, and create innovations that delight in this digital age. However, occasionally I’ll hear statements like, “What if AWS goes away?” “What if AWS decides to […]

Cloud Anti-Pattern: Guardians at the Gate

  Guardian Photo In one of my previous posts, I wrote about how the choice and selection provided by AWS Cloud is a good thing for builders versus the perception that too many services cause confusion. The point I made is that we are in an era where we should expect to see the creation […]

Organizing for Insights

Advancements in artificial intelligence (AI), machine learning (ML), and big data technologies enable organizations to harness the troves of data being captured (or which were previously thrown away), bringing new insights, automating processes, and even creating new products, services, and businesses. AI, ML, and the associated data (powered by the AWS cloud) is a critical […]

Complexity or Choice?

Amazon Web Services launched 1,430 new features and services in 2017, 1,017 in 2016, and 722 in 2015. One of the key benefits of adopting a cloud platform like AWS is its ability to help businesses keep up with the increasing pace of innovation. But, while the launch of new features and services is cause […]

What to Expect from Your Analytics Platform

who_is_danny/shutterstock.com In my last post I covered why every organization has a big data problem. In summary, the shortcomings in legacy database technologies (and associated infrastructure costs) lead companies to fragment and throw a lot of data away because it’s not perfect, too big, too old, etc. In this post I’ll cover what businesses should […]

4 Reasons to Re-Consider Lift-and-Shift to the Cloud

https://www.shutterstock.com/g/mikdam “… Reform the environment and not man; being absolutely confident that if you give man the right environment, he will behave favorably.” — Buckminster Fuller As an enterprise strategist at AWS, I often talk to customers about strategies that will help them move workloads to the cloud. Occasionally, I’ll hear from senior executives who don’t want […]