๐จ DevOps is evolving. GitOps is the new standard.
๐ง No more โwho broke prod?โ
โ
Clean PRs
โป๏ธ Instant rollbacks
๐ช Total control
๐ฏ If you're serious about infra, watch this:
โถ๏ธ youtube.com/shorts/qKWWS2Uyb4w
๐จ DevOps is evolving. GitOps is the new standard.
๐ง No more โwho broke prod?โ
โ
Clean PRs
โป๏ธ Instant rollbacks
๐ช Total control
๐ฏ If you're serious about infra, watch this:
โถ๏ธ youtube.com/shorts/qKWWS2Uyb4w
๐ฅ How I built a production-grade GitOps pipeline on AWS
๐ณ Docker, โ๏ธ EKS, ๐ ArgoCD, ๐ Vault, โ๏ธ Terraform โ all in one CI/CD flow.
No fluff. Just real-world DevOps that scales.
๐ฅ Watch here: https://youtu.be/PpEfaQq2Umk
LLMs arenโt magic. ๐งโโ๏ธ
They run on containers ๐ณ, CI/CD ๐, and GitOps โ๏ธ.
The real flex?
Infra that just works behind the scenes. ๐ฅ
๐น Watch the Short: https://youtube.com/shorts/f2vAS6i1kuQ
Kubernetes is coolโฆ until youโre crying over YAML ๐ญ
Letโs talk about when K8s is โจperfectโจโ
โฆand when itโs just chaos with better branding ๐
๐ฅ New video: Is Kubernetes overkill?
#Kubernetes #DevOps #CloudNative #PlatformEngineering #TechTwitter
๐จ Your machine learning model isn't broken โ It's just stuck in a Jupyter notebook.
Learn why DevOps + ML = ๐
And how a simple Dockerfile can change everything.
๐ฅ Watch the Short โ https://youtube.com/shorts/XEkq_uq_0r4
๐จ Donโt build ML like itโs 2015!
This is the DevOps stack modern AI teams are actually using โ built for scale, speed, and sanity.
๐ Watch this 60-sec breakdown:
๐ค Your ML model works locally...
๐ฅ But in production? It fails hard.
This isnโt bad code โ itโs bad DevOps.
One slip and it all breaks. ๐
๐ฅ Watch the chaos (in 24 secs):
https://youtube.com/shorts/ZgTehRyquzw
#MachineLearning #DevOps #MLOps #TechFails #SoftwareEngineering
๐ AI teams without containers are like pilots with no runway.
Hereโs how containers supercharge AI workflows โ from dev to deployment.
๐
๐ฅ https://youtube.com/shorts/bZ7o_Tctc_U
Training a model is easy. Reproducing it? ๐ค Thatโs where the real game begins.
No CI/CD โ๏ธ No versioning ๐ต๏ธ No logs
Just vibes โจ and an old dataset no one remembers.
Thatโs why ML needs DevOps ๐ฅ
๐ ChatGPT replies in 2 seconds.
But behind that speed? Containers. GPUs. DevOps sorcery.
Peek behind the curtain โ it's not magic, it's engineering.
๐ฅ Watch the Short: https://youtube.com/shorts/_ak_YZKbhXw