AWS Startups Blog

Tag: Advice from AWS Solution Architects

An Introduction to AWS IoT Core

AWS IoT Core has many features that tackle different challenges IoT customers often have. It can be overwhelming at times to read about them in different places and figure out what exactly to use them for. In this blog post, we go into the different components of AWS IoT Core and walk you through an example of how a fictional startup will use the different components of AWS IoT Core to their benefit.

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A Systematic Approach for Analytics Services Migration from GCP to AWS

In this post, we present a systematic approach to guide customers migrating a few commonly used cloud data analytics services from Google Cloud Platform (GCP) to AWS. Rather than a detailed step-by-step implementation guide for a specific service, the post is intended to provide a holistic view and systematic approach for the migrations of these GCP services to AWS.

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How Startups Deploy Pretrained Models on Amazon SageMaker

For most machine learning startups, the most valuable resource is time. They want to focus on developing the unique aspects of their business, not managing the dynamic compute infrastructure needed to run their applications. Productionizing machine leaning should be easier, and that’s where AWS comes in. In this blog post and corresponding GitHub repo, you will learn how to bring a pre-trained model to Amazon SageMaker to have production-ready model serving in under 15 minutes.

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Cost Effective Data Science for Startups: Memory Mapped Techniques with Amazon SageMaker

Being able to choose really powerful instances to reduce your training time on demand, paying only for the seconds you use them, and at the same time having the choice of your notebook instances in your favorite tooling opens large opportunities for cost savings and productiveness across startups. AWS Startup Solutions Architect Manager Daniel Bernao walks us through how to do it.

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How to Get Started on AWS From a Dead Standstill

Want to build a database-backed website, or the backend to a mobile app? Set up a WordPress or Drupal site, or just use an Amazon S3 bucket to store files? You can do all this and much more on AWS.

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Datavant De-Identifying Health Data

Scaling Down your Infrastructure Part 2: Databases

In this second installment of the Scaling Down Infrastructure series, we are looking into cost optimization techniques for your databases, on the popular engines we see you using the most, whether it’s in an analytical or transactional style, or if it’s relational, document, key value or time series in nature. 

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A Data Lake as Code, Featuring ChEMBL and OpenTargets

AWS Startup Solutions Architect Paul Underwood believes that a data lake is just another complex and heterogeneous infrastructure problem. In this post, he illustrates how you might build a data lake-as-code using the AWS Cloud Development Kit (CDK). Underwood will outline the strategy, core data lake services used, associated costs, and how you can tie it all together with code.

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AWS Solutions Architects Santanu Dutt and Anand Iyer at ReInvent 2018

AWS’s Santanu Dutt and Anand Iyer on Why Blockchain Technology Will Upend Industries

You’ve certainly heard about the volatile ride cryptocurrency investors have been on of late. But all of the focus on the wealth being created and/or lost tends to drown out the underlying technology that is enabling these forays into not just new kinds of digital currencies, but also new ways of thinking about transferring wealth, ownership, access, all kinds of data, and more. AWS Solutions Architects Santanu Dutt and Anand Iyer explain the potential for Blockchain technology to up-end industries.

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