AWS re:Invent is Amazon’s premier, annual cloud computing conference held in Las Vegas. Kingland has attended for three consecutive years and during that time we have witnessed the explosive growth of conference attendees – from the 30,000 range in 2016, to 40,000 in 2017, and clocking in at approximately 53,000 attendees in 2018, per AWS CEO Andy Jassy’s tally during his keynote speech. And although I didn’t previously believe my name to be all that common, there were enough attendees that upon onsite registration during this year’s conference, I had to choose the correct “Matt Good” from a listing of three. The incredible growth in attendees is certainly parallel evidence of AWS’ dominance in the worldwide infrastructure-as-a-service (IaaS) public cloud services market, as detailed by Gartner. At about 52% market share, AWS completely dominates the next four on the list (Microsoft, Alibaba, Google and IBM).
Kingland has invested significantly in both cloud computing and development-security-operations (DevSecOps) capabilities over the past three+ years, as part of our Kingland Platform investment and in our partnership with a number of clients on specific solutions. AWS has been our primary cloud partner during that timeframe, and each year at the re:Invent conference we look forward to a number of new release announcements and takeaways that will benefit our Platform and our clients. Our attendance at the 2018 conference was no different and yielded the following key takeaways:
While Textract, Lake Formation, DynamoDB and Security Hub announcements represented the most significant announcements as aligned with Kingland’s Platform investment and client solution development work, we continually keep a close eye on the additional AI/ML capabilities enhanced and released by AWS. With the release of DeepLens in 2017, the continued enhancements to SageMaker, and the release of DeepRacer in 2018, AWS strengthens their focus on "builders" (i.e. developers), easing the barrier of entry for learning and leveraging AI/ML capabilities. The DeepRacer in particular was such a hit that my colleague Patrick Rice and I waited over two hours in line for an opportunity to learn more about reinforcement learning as related to autonomous vehicles, including earning a free DeepRacer car in advance of its public release, at the completion of the workshop:
At Kingland we continue to invest in our Kingland Platform and client solutions in service of our clients’ use cases, and AWS continues to be our strongest partner for cloud-optimizing our Platform and solutions. However, we’ve also heard from our clients that the ever-expanding market share of AWS in cloud is bringing about the desire for more cloud diversification among some of our clients, particularly those within the retail industry. To that end we have additionally worked with Google Cloud Platform (GCP) to accommodate better cloud diversification. Clients can count on Kingland to leverage the best of either AWS or GCP for solving some of the toughest problems and use cases in Text Analytics and Enterprise Data Management!