Uday👨‍💻

Kubernetes learning path from beginner to expert🚀🚀 Stage 1 -> Beginner lays the foundation with containers and Docker, so you understand why Kubernetes exists before learning what it does. Stage 2 -> Foundational is where you start deploying real apps, managing workloads, exposing them via services, and handling configuration. Stage 3 -> Intermediate introduces stateful workloads, networking depth, and the observability tooling used in every production environment. Stage 4 -> Advanced covers the security and automation concerns that matter in team and enterprise settings, RBAC, autoscaling, and GitOps. Stage 5 ->Expert takes you into the internals: building custom controllers, tuning cluster performance, and preparing for professional certifications (CKA/CKAD/CKS). A good practical target is to spend 2–4 weeks per stage. The official Kubernetes documentation is an excellent free resource throughout the journey.

@Mayank_Msd True resources are the mostly issue here

@uday_devops Same container ≠ same runtime network, CPU throttling, disk I/O, or cache state is different.

Interviewer: Two identical Docker containers, same image, same env vars, same volume. One responds in 12ms. One takes 4 seconds. What’s different?

@TheCesarCross True issue might be with the resources we have to check

@uday_devops Metrics and logs first. Resources are the bottleneck

@uday_devops lol yeah

DevOps Job Description: K8s, Terraform, AWS, Jenkins, Ansible, Docker, Vault, Python etc... Actual Job: Jenkins Is this relatable?

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@vaneshmali That’s good But I don’t have any other sources 😞

Most of you know that I own the TechnoVans(.com) platform. Income from this platform in 2025 is Rs. 19845. Good side income 😍 Do you have a side income?

@vishaltweetup Both

Which one do you need right now: • MacBook • iPhone

@swagyitalks Spot on true mate

@uday_devops Exactly. Full-stack isn’t a checklist of skills, it’s a mindset—seeing the system, not just the parts. Most job posts miss that.

Everyone wants a “Full-Stack Developer.” Very few understand what that actually means.📚📖 This image explains it better than any job description. 📕Full-stack ≠ Frontend + Backend 📘Full-stack = Frontend, Backend, Cloud, DevOps, Security, Networking, CI/CD, Containers, CDN, Backups It’s not about knowing everything. It’s about understanding how everything breaks together.

@Alex24KGold Nice any specific reason

@uday_devops I use vercel

Where do you deploy your projects? - Vercel - Netlify - Railway - AWS

@JANETNGOZI1 Good choice

@uday_devops Vercel

@xanderNLP True issue with the resources

@uday_devops resources

@Guptha933907 Exactly right steps to debug this issue

@uday_devops Always compare: 👉 Node → Network → Dependencies → Runtime limits Not just the container.

@therahul4402 Well done 👍 bro True issue with the environment resources

@uday_devops The container isn’t the issue the runtime environment is Likely differences: network latency, CPU/memory contention, or host load, causing one to respond slower

@kbkthebolt Good approach

@uday_devops Same config ≠ same runtime. Likely difference: - CPU/memory limits - host/node performance - network latency - cache state I’d check metrics + logs first.

@sriram_gsr16 Exactly

@uday_devops yeah true infra is where things get messy

@yashbuilds_ Ok 👍 mate thanks

@uday_devops just push on github then import and deploy

@Umesh__digital Thanks bhai

@uday_devops helpful resource Uday!

Day 1 insight 💡 ☸  What is Kubernetes? ✦ Container orchestration platform- K8s is a container orchestration platform automating the deployment, scaling & management of containerized applications across machines. ✦ Self-healing - if a container crashes, K8s restarts it. No manual babysitting. ✦ Declarative model - you describe the desired state, K8s figures out how to get there. ✦ Open-source & CNCF-backed - originally from Google, now the industry standard.

@justpankajk Sounds good 😌

@uday_devops It changes with respect to project. I used vercel, it help a lot.

@ClarionAISG Thank you glad it helped

@uday_devops Nice breakdown, it captures how Kubernetes abstracts complexity by letting you define the desired state while it handles deployment, scaling, and recovery automatically.

@dvineet9 Yes 🙌

@uday_devops D) 48 bits

What is the length of the "MAC" address? A) 8 bits B) 16 bits C) 32 bits D) 48 bits

@kajal_909 Super

@uday_devops 48 bits long