It’s time to stop thinking of Amazon Web Services as an infrastructure company as it moves up the stack and iot and cloud computing pdf chain to technologies such as artificial intelligence, IoT and Alexa for Business. 373 12 12 12 12-5. 449 1 1 0 .
13 7 7 7 1. What are you looking for? 0027s time to stop thinking of Amazon Web Services as an infrastructure company as it moves up the stack and value chain to technologies such as artificial intelligence, IoT and Alexa for Business. At re:Invent, AWS CEO Andy Jassy was pitching his company to data scientists as much as IT pros deploying Internet of things tools and various databases. AWS CTO Werner Vogels was outlining his vision of computing in the future and it all revolved around data. The quality of the data you have will be the differentiator,” said Vogels. Data will have a crucial impact on how companies change behavior and build new systems.
Turns out, according to Vogels, that cloud computing was “an egalitarian system that set the stage for data” and “neural networks we can execute in real-time. If you were merely looking at a collection of new service, the connective tissue at AWS’ re:Invent conference in Las Vegas was hard to discern due to the sheer barrage of news. AWS announced media services, a host of customers and more databases, Alexa for Business, IoT, machine learning and artificial intelligence choices. And I’m probably omitting a few. In true AWS fashion, the plan was to launch more services in two days than many companies do in a year. What’s different going forward is that AWS is focused on managed and micro services so its services are easy to consume and viewed through a data lens.
And building an architecture and roadmap for how developers want to work in 2020. In sum, the common theme across every AWS move this week is data as currency and providing a one-click way to manage it. Here’s a quick tour of everything you need to know about AWS this week. Was there anything that AWS announced that wasn’t available as a managed service? AWS is taking its parent company’s one-click e-commerce approach and applying it as much as it can to its IT infrastructure.
AWS Lambda was a breakthrough when Amazon announced it two re:Invents ago. Today, it’s an approach that’s used everywhere within AWS. Data architecture will be pondered before the compute and storage necessary to make it happen. Vogels touted AWS’ breakneck product roadmap, but did note that “on the side we’ve been rolling out managed services. By scaling services down, they’re easier to consume and implement. And oh by the way that fact probably means you’ll spend more on AWS.
It was hard to find an AWS new service this week that didn’t touch machine learning or artificial intelligence in some way. AWS is relentless with adding services and launch of Amazon Transcribe, Amazon Translate, Amazon Comprehend, and Amazon Rekognition Video all will serve as a back-end to Alexa. By putting its AI and machine learning services in easier to consume packages, AWS is making sure that it doesn’t lose mind share against IBM, Google and Microsoft. On the machine learning front, AWS launched Sagemaker to ease adoption. Tony Baer recapped all the database moving parts from AWS and there was a bit of something for everyone. The headliner from AWS was Neptune, which automatically without downtime or performance degradation.
Neptune is highly available and durable, automatically replicating data across multiple AZs and continuously backing up data to Amazon S3. Other highlights scale-out announcements for Amazon’s Aurora SQL and DynamoDB NoSQL platform. SaaS had a major impact on the way companies consume cloud services. This ebook looks at how the as a service trend is spreading and transforming IT jobs. AWS accelerates its IoT pace.