AWS Startups Blog

As Datapipe’s data and analytics consultants, we are frequently asked by customers to help pick the right solution for them. As a result of our customer engagements, we decided to share our findings in our Apache Kafka vs. Amazon Kinesis whitepaper. In this post, we summarize some of the whitepaper’s important takeaways.

But times are changing and organizations running in AWS can now take advantage of continuous development practices and security without impacting delivery speed. How? Here are three practical ways to start implementing security for scale:

The AWS Cloud and Intel’s gateways enable a highly secure, edge-to-cloud solution that accelerates the development of Internet of Things (IoT) applications.

AWS and Intel offer a variety of compute options to allow you to find the right balance of price and performance for your application.

By Brent Rabowsky, Startup Solutions Architect, AWS

This post is part 1 of a two-part series. In this post, I focus on data modeling with DynamoDB. I describe an example use case to demonstrate alternative ways of modeling the same data, and the pros and cons of each approach. Proper data modeling is an essential prerequisite to beginning the development of a back end service.

Guest post by Leo Zheng, Director of Product Marketing, MongoDB

By Avi Wilensky, Founder, Up Hail

By Rei Biermann, AWS Startups

Branch’s Node.js application servers were at 80% CPU, and our PostgresSQL RDS looked like it didn’t have much more room to grow. Meanwhile, traffic was doubling every couple of weeks. They had to figure out a pathway to scale quickly. Here’s what they did.