A Data-Driven Approach to Writing Better Developer Documentation
The most impactful changes ParadeDB has made over the last year to its developer documentation.
September 18, 2024
September 13, 2024
CRUD APIs: Functional, but Inefficient
The term CRUD, or CRUD API, is often tossed around when interacting with databases or building backend APIs. This article will examine what CRUD is, what it’s suitable for, and its shortcomings. Finally, we’ll explore how to quickly implement a CRUD API using a modern backend like Convex.
September 12, 2024
Edge Functions are now 2x smaller and boot 3x faster
Redeploy your Edge Functions with the CLI v1.192.5 for a peformance boost
September 11, 2024
3 ways to run real-time analytics on AWS with DynamoDB
DynamoDB is a great database for real-time transactions, but it isn't suited for analytical queries or real-time analytics. Explore a few ways to build real-time analytics on data you already have in DynamoDB.
3 ways to run real-time analytics on AWS with DynamoDB
DynamoDB is a great database for real-time transactions, but it isn't suited for analytical queries or real-time analytics. Explore a few ways to build real-time analytics on data you already have in DynamoDB.
September 10, 2024
Why I Prefer Exceptions to Error Values
Why I Prefer Exceptions to Error Values
Good error handling is key to robust programs, but often dreaded by programmers because there is always one more edge case. Traditional object-oriented programming languages use special exception classes that can be thrown to break the regular control flow for immediate error reporting. Let’s take a quick look at an example that explores error-safe integer division:
int safeDiv(int a, int b) {
if (b == 0)
throw Div0(); // Exceptions are passed out-of-line
return a / b; // Totally safe now, right?
}
Newer languages tend to favor functional-style error reporting and encode errors in their return type:
For example, Go encodes the error in the return type with an (res, err) tuple, and Rust returns Result<T, E>, a sum type of result and error.
Even older languages such as C++ now include error values in their standard library with std::expected:
September 09, 2024
B-trees and database indexes
B-trees are used by many modern DBMSs. Learn how they work, how databases use them, and how your choice of primary key can affect index performance.
September 06, 2024
LFX Mentorship Journey
Introduction # This summer, I had the incredible opportunity to participate in the LFX Mentorship program, where I contributed to Vitess, a CNCF graduated project. Vitess is a cloud-native database designed for horizontal scaling of MySQL. My specific focus during this mentorship was on the "Arewefastyet" subproject, an essential benchmarking platform for Vitess. "Arewefastyet" plays a crucial role in ensuring that each new version of Vitess maintains or improves performance, making it a vital component of the Vitess ecosystem.