Amazonia, January 7, 2019
January 7, 2019
The Bezos bulldozer keeps on pushing through the virgin forest. Crunch, crunch—That’s the sound of the power of the machine creating new revenue streets and highways. Consider these bits of Amazonia:
One of the Five Eyes Is Smiling
One branch of the British government has inked a deal with Amazon to build the “Crown Marketplace.” Think in terms of the British version of GSA/DSA running on Amazon’s AWS infrastructure, buying goodies from Amazon’s warehouses, and getting some of the stuff delivered in nifty Amazon trucks. When will GHCQ follow the CIA’s approach and use Amazon for plumbing? Source: The Telegraph which dearly wants your email address.
GovCloud West: EC2 High Memory Arrives
Most commercial outfits won’t care or understand the steady expansion of the breadth and depth of the GovCloud. Mark your calendar, while some folks were guzzling Champaign, Amazon Amazon EC2 High Memory instances with up to 12 TB of memory to the US GovCloud West region. Source: Amazon itself. Want to know more about “high memory”? Click this link.
FBI Uses Amazon Facial Recognition Service
The policeware landscape is being reshaped by the Bezos bulldozer. Navigate to “FBI Pilot Programme Uses Amazon’s Controversial Facial Recognition Software.” Keep in mind that this write up comes from the ever friendly, always objective Sputnik News. The write up reports:
Sputnik reported that the artificial intelligence behind Rekognition, which can identify, track, and analyze people and recognize up to 100 faces in a single image, was being marketed by Amazon to US police departments for as little as $6 a month. That tiny fee gave law enforcement agencies access to Amazon Web Services (AWS). In turn, Amazon requested that those agencies recommend the brand to their partners, including body camera manufacturers, according to documents obtained by the American Civil Liberties Union (ACLU).
That’s a compelling price point for many law enforcement entities. True or false. Well, the secret region is a thing.
Perception Health Embraces the AWS Marketplace
The Amazon watchers at ArnoldIT.com noted this statement:
Perception Health, a leading provider of healthcare market prediction software, announced today their inclusion on the new machine learning (ML) and artificial intelligence (AI) discovery page on AWS Marketplace.
Why? Bezos’ bulldozer is turning to health. Perception Health wants to dabble in the machine learning marketplace Amazon has built along side its streaming data marketplace. Perception likes the strokes Amazon doles out to its partners. Good partner, the Bezos bulldozer rumbles softly. Source: PRNewswire
Where’s That Blog Belong?
The answer is on AWS. WordPress is a popular blogging platform. WPEngine stated:
WP Engine leverages a modern technology stack to make sure our customers have the resources they need to scale their WordPress environments. It’s why we give our customers access to a suite of developer tools they can use to build great websites, and it’s why we utilize best-in-class technologies like Amazon Web Services (AWS) to add resiliency and speed to our digital experience platform.
Different cheer, same enthusiasm. Source: WPEngine
PHP and Amazon
You know PHP. You want zero hardware to drag down your nights and weekends. You will embrace AWS Lamda. Details are in “Severless PHP on AWS Lambda.” If you want to know more about AWS Lambda, click here. Source: PHPDeveloper
Microservices on Amazon
Screw up one part of a microservice based app and you can have an exciting time of it. But what if one wants to combine the goodness of microservices with the Bezos bulldozer? No problem. Details plus code appear in “How to Deploy a Microservice Application to AWS.” Now about those microservices which don’t “service”? Sparse info, gentle reader.
H2O Analytics Run Better on AWS
Hard to believe that an Amazon partner helps market itself and Amazon with such enthusiasm. Here’s an example of nerd cheerleading:
If you haven’t started migrating your analytics to the cloud, then hopefully this will convince you to start reconsidering. The opportunity to have access to a 64, 96 or even 128 core machines with 2TB of RAM rarely crosses the path of most Data Scientists. This can mostly be accredited to the fact that most of us don’t really need such a large machine for what we need to achieve, see Szilard’s twitter posts if you need convincing. Another reason that we don’t use these big machines are purely because we just don’t have access to such machines within our working environments. Luckily for us, access to cloud computing have become more accessible and well, lets be honest, cheap as chips.
Yep, rah rah. Source: Digital Age Economist (aren’t all economists now alive “digital age economists”?)
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