AWS Software Software Architecture Training 
Adrian Cockcroft
JANUARY 17, 2022
My talks on Failing Over Without Falling Over are still very relevant, but AWS did finally release a key new service that implements key parts of the architecture: AWS Route 53 Application Recovery Controller. For example AWS launched an instance type with 800 Gbits/s of network bandwith in 2021. primarily virtual?—?and
O'Reilly
NOVEMBER 12, 2019
We suspect this points to a general drift toward software teams taking more responsibility for infrastructure, and increasingly, enabled by serverless options. Given that Amazon’s AWS Lambda functions are only five years old this November, anyone with more than three years of experience is a very early adopter.
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The Symphonia
MARCH 13, 2018
And finally, while some people claim that Serverless doesn’t work for the enterprise, Capital One are busy migrating their regulated financial applications from a mainframe to AWS Lambda. If you’re looking for training we have several tutorials and workshops on the calendar. Just saying. See our complete speaking schedule here.
O'Reilly
DECEMBER 2, 2019
I’ve always been unimpressed by streaming services for music and video, at least partly because they’re least available when you most want them: when you’re flying or on a train, in at a technical conference with 3,000 attendees maxing out the hotel’s network. At a gigabit, you don’t have to think twice.
The Netflix TechBlog
DECEMBER 3, 2019
mainly because of mundane reasons related to software engineering. On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler. Preferably, from their point of view, these foundational components should “just work”.
O'Reilly
OCTOBER 19, 2021
This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.
The Netflix TechBlog
DECEMBER 3, 2019
mainly because of mundane reasons related to software engineering. On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler. Preferably, from their point of view, these foundational components should “just work”.
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