Join us

Dealing with rejection (in distributed systems)

Dealing with rejection (in distributed systems)

Literature covers distributed system basics like consistency and availability trade-offs, but practical aspects such as observability, multi-tenancy, and operational design require hands-on experience. Backpressure is vital for preventing system overloads in production by rejecting or slowing down requests before reaching catastrophic failure. In WarpStream, effective backpressure was achieved by monitoring in-memory metrics and adjusting workload processing dynamically, preventing system crashes even under high CPU utilization.


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