Blog Insights
Save Money by Scaling Off Hours
Serverless state machines can be leveraged to automatically save costs off hours.Micro-Frontend Strategy
Leveraging multiple front-end code bases can be achieved without sacrificing flexability and team atonomy.How User Experience Analysis Improves Delivery
User Experience Analysis helps you better understand your users' pain points, but it also improves delivery. Learn how a UX Product Review can lead to better product roadmaps and ultimately a more successful product.Technical Interviewing at Source Allies
Thinking about joining Source Allies? Here's what you can expect from our technical interviewing process.Introducing Glue Biscuit: A reference guide and library for building production quality AWS Glue jobs
Introducing a reference guide and library for working with AWS Glue.Why Your SMART Goals Aren't Working: The Key to More Successful Projects
Not all SMART goals are actually smart. In this post we will take a look in how to dive deeper to truly understand your project motivation.Material Market: Coordinating Distributed Events
A simple way to coordinate events without locking on AWS.Reference Data Without the Database
Not all micro-services need to be built the same way. In this post we walk through an alternative way of designing APIs for slowly changing reference Data.Getting Started with ML Part 1: Current state of AI/ML
So, AI & ML are on your roadmap, but what is the simplest way to get started? Discover a set of simple entry points to using AI, and specifically, using Machine Learning. Plus see how AutoML compares to the crowdsourced efforts of thousands of ML engineers and data scientists.Getting Started with ML Part 2: Overcoming Adoption Challenges
So, AI & ML are on your roadmap, but what is the simplest way to get started? Discover a set of simple entry points to using AI in this series. In this second part, we talk about how the AI/ML community is overcoming historical challenges to adoption.