Join us

How we’ve saved 98% in cloud costs by writing our own database

How we’ve saved 98% in cloud costs by writing our own database

Hivekit developed an in-process storage engine that saves 98% in cloud costs by replacing AWS Aurora with a $200/month EBS volume. The system, built for high write performance and small disk size, stores each 34-byte location update in a delta-based binary format, allowing for 30 million updates per GB. This change has significantly improved query speeds and reduced overhead.


Let's keep in touch!

Stay updated with my latest posts and news. I share insights, updates, and exclusive content.

Unsubscribe anytime. By subscribing, you share your email with @faun and accept our Terms & Privacy.

Give a Pawfive to this post!


Only registered users can post comments. Please, login or signup.

Start writing about what excites you in tech — connect with developers, grow your voice, and get rewarded.

Join other developers and claim your FAUN.dev() account now!

Avatar

The FAUN

FAUN.dev()

@faun
The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
Developer Influence
3k

Influence

302k

Total Hits

3712

Posts