AWS Startups Blog
Why Your Minimum Viable Product Must Scale
We discuss how scalable cloud services enable you to quickly iterate on your MVP to discover your formula for success, and then scale up for mainstream adoption as you continue adding features.
Using Machine Intelligence to Predict Your Career Success
Here at untapt, we’re using machine learning to reinvent the hiring process for software engineers. We’ve built a digital hiring platform that matches developers with hiring managers and puts them directly in touch with each other. Initially focused on FinTech, untapt will soon expand to cover technology hiring across broad industry verticals. I want to share a bit about our history, how we came to be, what we’re planning next, and how AWS helped make it happen.
The Top 10 AWS Startup Blog Posts of 2015
As we move forward in the new year, we want to recap some of the most popular posts of 2015. We hope you’ll find the posts useful in…
Scaling on AWS (Part 4) : > One Million Users
In the fourth and final part of this series, I want to show you how to scale an architecture to serve millions of users. If you have not…
What’s Hot at AWS Pop-up Lofts in January
Start the year on the right foot by learning more about AWS! Highlighted events include FinTech Loft Talks, an IoT Hack Day sponsored by…
Scaling on AWS Part III: >500K Users
This post is part 3 of a blog series that shows you how to iteratively evolve a basic AWS architecture into one that supports millions of…
What Startups Should Know about Amazon VPC: Part 2
This is the second post in a two-part series about creating VPCs with Amazon VPC. In the first post, we cover what a VPC is and what its core components are. In this post, we discuss the considerations for designing and creating your VPC.
Scaling on AWS Part II > 10K Users
Welcome to the second post in a series of primers designed to help you scale your startup on Amazon Web Services (AWS). In the first post…
What Startups Should Know about Amazon VPC : Part 1
Introducing Amazon VPC and its components.
The Case for Deployment Pipelines
At Clarify.io, we put pipelines on our “really going to do” list. By adopting a pipeline-based approach, we gained immediate returns that we could measure in hard numbers like less downtime, faster release schedules, and reliable fixes. Pipelines made our software more stable, easier to maintain, and safer to change. Here are the benefits and how to get started.









