FAUN.dev() - Where engineers from GitHub, Netflix, and Shopify go to stay ahead

FAUN.dev() is where engineers from GitHub, Netflix, and Shopify go to stay ahead — fast.

An effortless, straightforward way to keep up with technologies...so you can keep your tabs closed and your mind open!

70,000+ developers already joined our ecosystem ⭐⭐⭐⭐⭐
Trusted by engineers at:

Google • Microsoft • AWS • Netflix

Newest FAUNers

@aruru49 (Vishal Aruru)

Software Explorer, Infinite

@mowbrayworkspace (Mowbray Workspace Solutions)

@y98 (Nobu Sato)

@jiyebi

@prasadatoutdu (prasad outdu)

Trending FAUNers

@sancharini (Sancharini Panda)

14.00

@kala (Kala #GenAI)

FAUN.dev()

12.00

@sanjayjoshi (Sanjay Joshi)

10.00

@hitechdigital (HitechDigital Solutions)

Business Consulting, HitechDi…

10.00

@vaibhavgupta (Vaibhav Gupta)

10.00

@habiledata (Habile Data)

HabileData

10.00

@devopslinks (DevOpsLinks #DevOps)

FAUN.dev()

9.00

@kaptain (Kaptain #Kubernetes)

FAUN.dev()

9.00

@varbear (VarBear #SoftwareEngineering)

FAUN.dev()

7.00

@shyamvijay (Shyam Vijay)

@Mirrorfly

6.00

Latest Pawfives 🐾

@shurup gave 🐾 to
Helm Cheat Sheet: Everything You Need to Know to Start Using Helm by @eon01

@shurup gave 🐾 to
OpenClaw Lightweight Alternative Launches: A 10MB AI Assistant That Runs on $10 Hardware by @kala

@shurup gave 🐾 to
Spotlight on SIG Architecture: API Governance by @kaptain

@nelly96 gave 🐾 to
Verification vs Validation Explained for Beginners in QA by @sancharini

@aleonrangel gave 🐾 to
Difference between Agile and Scrum by @viktoriiagolovtseva

@mjh gave 🐾 to
Announcing FAUN.sensei() — Self-paced guides to grow fast — even when tech moves faster. by @eon01

@tairascott gave 🐾 to
Helm 4 or Nelm? What's the difference by @shurup

@tairascott gave 🐾 to
Hidden Correlations Traditional Monitoring Misses by @anjali

@tairascott gave 🐾 to
How to Track Down the Real Cause of Sudden Latency Spikes by @anjali

Publish on FAUN.dev()

Orchestrating the Cloud

⚡️ The clean “Shh… Orchestrating the Cloud” design says just enough — a subtle nod to late-night deployments, calm incident handling, and systems humming in the background

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cat /var/logs/*

⚡️ Cats prefer Linux! Warm your soul with a nice mug perfectly sized black ceramic mug.

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kubectl apply -f mug.yaml

Because one container ain't enough

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Git Pull Coffee

Git pull coffee then git merge your code! Warm your soul with a nice mug perfectly sized black ceramic mug.

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I fix problems

I fix problems you didn’t know you have in a way, you don’t understand.

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Never Quit

This unisex heavy blend Hooded Sweatshirt is relaxation itself. It's made with a thick blend of Cotton and Polyester, which makes it plush, soft and warm

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Painless Docker - 2nd Edition

A Comprehensive Guide to Mastering Docker and its Ecosystem

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Helm in Practice

Designing, Deploying, and Operating Kubernetes Applications at Scale

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Observability with Prometheus and Grafana

A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems

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Generative AI For The Rest Of US

Your Future, Decoded

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Dev (Thug) Life - Black Mug

#developer #merchandise #swag

Dev life is a thug? Warm your soul with a nice mug perfectly sized black ceramic mug. - Microwave and dishwasher safe- Made of black, durable ceramic- C-handle- 11 oz (0.33 l)

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@roock started using tool Python , 2 days, 11 hours ago.

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@roock started using tool Puppet , 2 days, 11 hours ago.

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@roock started using tool PostgreSQL , 2 days, 11 hours ago.

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@roock started using tool NixOs , 2 days, 11 hours ago.

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@roock started using tool Nginx , 2 days, 11 hours ago.

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@roock started using tool HAProxy , 2 days, 11 hours ago.

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@roock started using tool GitLab CI/CD , 2 days, 11 hours ago.

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@roock started using tool GitLab , 2 days, 11 hours ago.

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@roock started using tool Debian , 2 days, 11 hours ago.

Build & Scale AI Workloads on Kubernetes, March 28th

Most AI workloads run fine in a demo and fall apart in production. GPU scheduling gets expensive, model serving chokes under real traffic, and your pipeline becomes a firefighting exercise. This 4-hour hands-on workshop fixes that. You'll build and deploy AI workloads on Kubernetes yourself. Walk away with a production-ready setup you can use at work on Monday. FAUN.dev readers get 30% off with code FAUN30.

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