AWS Startups Blog

Tag: getting started

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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