Clustering vectors by similarity is a powerful method to identify trends and categories of a dataset, frequently used in analytics (like identifying shopping trends) and in various AI use cases (like RAG and contextual tagging). Many known algorithms exist to cluster data such as K-Means and Hierarchical Clustering, but based
Of the many partitioning methods used to build distributed systems, range partitioning (dividing data into logical key ranges), is quickly becoming the preferred method to build the most scalable systems. Yet if you go searching, there's a clear lack of resources on how to implement this: It'
Nearly all requests that touch an AWS service like S3, DynamoDB, and the entire AWS API use AWS Sigv4 authentication. Sigv4 is the authentication process AWS clients use to sign the request content, using a combination of metadata including the Access Key ID and Secret Access Key. It's
In our the last post, we built a simple coordinator and a worker that could increment a number from a client request. That simple example introduced us to scheduling tasks on workers from a compute cluster in the same style that fly.io uses to schedule machines on their compute
Fly.io has built a very cool platform, allowing for super quick allocation and destruction of compute. That’s extremely useful in many use cases like serverless functions, background job execution, and more. In this post series, we’ll build our own basic compute scheduler that can be used for
What if you could get that Github-like experience in your React app, like where you see PR comments pop up in real time? What if you could turn useState() into useSharedState() in React, or create a function that when triggered, fires for all users looking at the same page? Frontlink