Building a Time-Series Storage Engine in Go That Handles Billions of Data Points
go
dev.to
As a best-selling author, I invite you to explore my books on Amazon. Don't forget to follow me on Medium and show your support. Thank you! Your support means the world! Imagine you're trying to store every temperature reading from a thousand weather stations, each sending data every second. That's 86,400 readings per station daily. After a month, you're looking at billions of numbers. Traditional databases gasp under this load. They weren't built for this constant stream of timestamped data