This week brings Amazon Web Services’ (AWS) annual re:Invent conference where thousands will descend upon Las Vegas to learn about cloud and the latest in AWS innovations. Having attended the conference for several years now, there are a number of trends that are common at an AWS event. One of those is the sheer number of products that AWS announces. Aside from that, there are a number of specific things I am looking for at this week’s re:Invent conference.
AWS has done a stellar job of attracting the startup and web-scale markets to their platform. The enterprise market, however, has proven to be an elusive customer except for a (relatively) few case examples. This week, I am looking to see how things have changed for enterprise adoption of AWS. Has AWS found the secret sauce to engage the enterprise in earnest?
Several years back, AWS made a big point of not being one of “those” companies with a very large portfolio of products and services. Yet, several years later, AWS has indeed become a behemoth with a portfolio of products and services a mile long. This is a great thing for customers, but can have a few downsides too. Customers, especially enterprise customers, tend to make decisions that last longer than the startup & web-scale customers. Therefore, service deprecation is a real concern with companies that a) do not have a major enterprise focus and b) have a very large portfolio. Unfortunately, this is where AWS is today. Similarly, to date, AWS has not done much in the way of portfolio pruning.
HYBRID CLOUD SUPPORT
For the enterprise, hybrid is their reality. In the past, AWS has taken the position that hybrid means a way to onboard customers into AWS Public Cloud. Hybrid, a combination of on-premises and cloud-based resources can be a means to onboard customers into public cloud. The question is: How is AWS evolving their thinking of hybrid cloud? In addition, how has their thinking evolved to encompass hybrid cloud from the perspective of the enterprise?
DEMOCRATIZATION OF AI & ML
Several of AWS’ competitors have done a great job of democratizing artificial intelligence (AI) and machine learning (ML) tools in a means to make them more approachable. AWS was one of the first out of the gate with a strong showing of AI & ML tools a few years back. The question is: How have they evolved in the past year to make the tools more approachable for the common developer?
As a bonus, it would be interesting if AWS announced the location of their 2nd headquarters. Will they announce it at re:Invent versus a financial analyst call? We shall see.
In summary, AWS never fails to put on a great conference with a good showing. This year should not disappoint.