Only left side audio

Sanjeev never makes us unsatisfied in regard to providing content.

Dude needs to practice more

Good videos pls upload more.

1. What is Kubernetes? Kubernetes is an orchestration tool that is used to manage containerization applications and it can also interact with VMs to some extent. Kubernetes is specifically designed to automate the deployments, scaling, and management of containerized applications. 2. What are the key components of a Kubernetes cluster? In master node/control plane:- API server, Clusture store/etcd database, Scheduler, Controller. In worker node:- Kubelet, Docker, Kubeproxy, pods, and containers inside pods. 3. What is the purpose of Kubernetes pods? *The purpose of Kubernetes pods is to create container inside it. It can be single-container or multi-container pods. *We use pods to deploy the applications inside it which are isolated from each other, and easy to function independently. *We can scale up and scale down the pods based on traffic and it can be managed by load balancer. * Pods share the same network namespaces so they can communicate with each other over localhost. * Pods share storage resources through volume. Overall, Kubernetes pods provide a convenient abstraction that manages groups of containers and its work together so application can run fine. 4. In Kubernetes, the application runs inside pods. Think of the application as the big picture-it's what you want to achieve, like running a website or a database service. Then, the pods are like the containers that hold all the pieces needed to make that application work. These pieces could be the main program, databases, cache servers, or anything else your application needs. The pods share everything they have with each other, like internet access, storage, and settings, because they're all part of the same application. So, when you create and run an application in Kubernetes, you're actually running it inside pods, which handle all the nitty-gritty details of making your application work smoothly. 5. Horizontal Scaling: Monitoring: As a DevOps engineer, you'd keep an eye on your application's performance indicators, like CPU and memory usage, using monitoring tools. Adding More Pods: When demand increases, you'd spin up additional pod replicas to handle the extra load. This can be done manually or automatically with tools like Horizontal Pod Autoscaler. Balancing the Load: To ensure all pods share the load evenly, you'd configure a load balancer to distribute incoming traffic across the newly added replicas. Testing and Tweaking: Before letting the new replicas handle production traffic, you'd run tests to make sure they're functioning properly and can handle the increased load. Ongoing Monitoring: Even after scaling, you'd keep a close watch on your application's performance, adjusting pod counts as needed to meet changing demand. Vertical Scaling: Monitoring Resource Usage: You'd monitor resource consumption within your pods to identify any bottlenecks, such as CPU or memory constraints. Adjusting Resources: To alleviate resource constraints, you'd tweak the allocated CPU and memory for individual pods, usually by updating your Kubernetes configuration files. Restarting Pods: Sometimes, adjusting resources requires restarting pods to apply changes. Kubernetes handles this for you automatically. Validation and Optimization: After resource adjustments, you'd validate the impact on your application's performance through testing and monitoring, making further adjustments as needed. Fine-Tuning Over Time: Continuous monitoring and feedback loops would guide you in fine-tuning your resource allocations to maintain optimal performance and resource utilization over time.

Great interview. Thanks guys

Thank you for your effort & time. These mockup interview videos help us a lot.

All Major companis are moving back to on premises from cloud. What will the job role for devops or cloud enginer ? Pease support on this .

done

audio issue

Please share with me Sir above is my mail id

1. Ansible playbook is yaml file that contains sets of instruction to automation task. 2. Ansible is simple then other tools as written in yaml. Also it doesn't require any agent to be installed on nodes it works with ssh 3. Ad-hoc commands are simple and are for one time use only. Whereas playbook has more complex command or series of commands.

😂😂😂why that fake accent, he is not coming to point directly

Appreciate the patience of interviewer😊

Wow... Impressive... The way he explains, his confidence my god... He doesn't feel like fresher!

Some wrong answer be told i think

He is cheating ?

Please attach this candidate cv

Data Modelling should be learnt by everyone,

Promo'SM

NICE VIDEO WITH GOOD INFORMATION

The answers she gave were completely random from the questions he actually asked. That too confidently :) .. I am a beginner to devops world but i could clearly figure out the responses she gave. For well architected framework pillars she mentioned Migration methods. Great job by interviewer for calmly carrying out the interview process. I am gaining a lot of knowledge through your videos. Appreciate your efforts.

Nice advice sir ❤

Rip freshers

How to differentiate which yt is showing basic projects & which one is showing complex ones

Thanks for the document 👍

Thanks for the Document..

Great stuff. One feedback is that it's called Development branch and not developer branch

Very good way to deliver all these answers

Interested in Free intern - to learn new topics

Amazing!!

Can you plz share the resume ...? Many will get to know how to prepare a resume as a fresher..😁

30 mins video , like 20 mins

Is there such thing as coding test like leetcode/hackerrank questions during DevOps and Cloud Engineer Interview? Thanks

Link not working

I guess he has given the wrong answer to diff mongodb and rds.

Very helpful content sir ... Many thanks for sharing it 🙏🙏

codeing test is easy to find the seakness of the candidate.

There is so much content What’s the easy way to remember all of those

Nice interview. She lacks practical knowledge and needs to work on DevOps tools n scripts. * in principle means all users have access to a bucket.

Very top level interview

I started following you from the last 6-7 months.. and i got the ideas for how to crack an interview in Cloud& DevOps via your videos but I have a problem like how do I apply for an interview as a fresher ? Cause each company wants experience.. i need your guidance sir

That's a very grateful interview

Azure DevOps guide on Telegram channel. Link - bit.ly/devops-cloud-telegram

Unable to copy link

Python Tutorial on Telegram Channel - bit.ly/devops-cloud-telegram

Thank a lot

Docker Tutorial pinned on Telegram channel - bit.ly/devops-cloud-telegram

Please send link

looking at all the comments saying as a fresher he is very knowledgeable, gave me confidence that yes I have prepared pretty good! cause I almost answered all questions except the questions that had jenkins reference cause I haven't learnt that yet. and being a Fresher i think this is basic knowledge that we get from our course curriculum, rest we have to prepare even more for advance concept and machine test as well!