AWS Startups Blog
Category: Startup
How Crimson Hexagon Increased Productivity by 82%
At Crimson Hexagon, we focus on delivering actionable social insights for the enterprise. This month we will surpass 1-trillion indexed posts, giving our users access to the largest data set of any social analysis platform.
Accelerating Innovation with Microservices Powered by MongoDB and AWS
Comparethemarket.com is one of the UK’s leading providers of price comparison services, and also one of the country’s most well-known household brands because of its meerkat marketing campaigns. But its popularity didn’t come from clever marketing alone.
The Tale of Two Messaging Platforms: Apache Kafka and Amazon Kinesis
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.
How to Implement Scalable AWS Security Without the Overhead
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:
Unlock the True Potential of the Cloud with Intel & AWS IoT
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.
Discover Business Insights with Intel & AWS Big Data
AWS and Intel offer a variety of compute options to allow you to find the right balance of price and performance for your application.
Serverless Architectures with Java 8, AWS Lambda, and Amazon DynamoDB — Part 2
By Brent Rabowsky, Startup Solutions Architect, AWS
Serverless Architectures with Java 8, AWS Lambda, and Amazon DynamoDB — Part 1
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.
Organizations Realize Transformative Benefits with MongoDB on AWS
Guest post by Leo Zheng, Director of Product Marketing, MongoDB
How Up Hail Used AWS to Evolve from a Side Project to a Business
By Avi Wilensky, Founder, Up Hail