Imagine Learning tore down its old platform and rebuilt it on Linkerd with AWS EKS, layering in Argo CD and Argo Rollouts. The result? GitOps deploys, canary releases via the Gateway API, and mTLS baked in from the start.
The payoff:
Over 80% cut in compute costs. 97% fewer service mesh CVEs. 20% drop in ops overhead.
System shift: This isn't just a tech upgrade. It's a clear bet on lightweight, GitOps-native meshes built for secure, scalable, multi-cluster Kubernetes.
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!
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
3711
Posts
Hey, sign up or sign in to add a reaction to my post.
Join thousands of other developers, 100% free, leave anytime.
Hey there! 👋 I created FAUN.dev(), an effortless, straightforward way for busy developers to keep up with the technologies they love 🚀
Aymen @eon01
Founder of FAUN.dev()
Join thousands of developers and engineering teams who use FAUN.dev() to stay up-to-date with the technologies they love, without the overwhelm.