YouTube Transcript:
3 Years Experienced Devops Cloud engineer Live Interview #devopsinterview #devopsengineer #devops

Skip watching entire videos - get the full transcript, search for keywords, and copy with one click.

Video Transcript

Video Summary

Summary

Core Theme

This content is a transcript of a technical interview for a DevOps engineer role, focusing on the candidate's experience with DevOps tools, cloud platforms (AWS), CI/CD pipelines, containerization (Docker, Kubernetes), infrastructure as code (Terraform, Ansible), monitoring, and security best practices.

Mind Map

Click to expand

Click to explore the full interactive mind map • Zoom, pan, and navigate

so as I as I'm looking at your CV now so

youve got around 2.8 years of experience

youve worked quite a fair bit

on doops Technologies and also on AWS

all right so why don't you start up with

your experience what you have done so

far yeah sure so hello S as I said my

name is Nas I have been working in thex

Technologies from P 2.8 years as a

devops engineer so I started my career

at DX technology as a devops engineer so

here uh I have been dedicated to

optimizing and automating the software

delivery process on AWS cloud and also

using most of the open source devop

stols so during my past two and a half

years here I have got an opportunity to

work on various projects where I have

showcased my skills in managing and uh

configuring the infrastructure and

devops using the devops tools and the

AWS cloud services so I have also

successfully implemented a ICD pipelines

using the open S tools like Jenkins and

I also have an experience with thew code

pipeline a little bit and apart from

that I have also have an experience in

containerizing an application using

Docker and managing this multiple

containers using a kubernetes

orchestration service uh tool and apart

from that I have also have an experience

with a little bit experience with Anil

and terraform and apart from that I have

experience working with many of the AWS

services like ec2 VC S3 and and few

others and yeah that's what about my

professional experience and the skills

that I possess right now so currently

I'm looking for an opportunity to uh in

some other organizations where I can

grow up my skills again yep

sure all right so shik you said that you

have worked on Jenkins for cicd can you

elaborate on a specific project where

you use Jenkins to create a cicd

pipeline so like in most of the my all

my previous project we have used jenin

open source tool for a cicd purposes so

where we have created in multi-stage

cicd pipelines to automate our entire

con integration con delivery or

deployment processes by integrating most

of many of the services into it so

that's what we have used zenin for all

right I would like to know the details

of the project what was the project what

was the domain what was what was the

business application what were you doing

in that so like in my previous projects

uh most of them are Java based projects

so they are like one of my project is

recent project is SKS where it's like an

e-commerce website where we have

developed that micr Services projects

using the cicd pipelines so for that we

have since it is a Java based project we

have used Maven tool to integrate with

the Jenkins to build our artifacts in

Maven we have integrated Jenkins

pipeline the maven tool and then after

building it we have used Nexus

repository to store our build artifacts

from MAV and then also we have used

sonar integrated sonar in the jenin so

that to do the code analysis so once

everything passes code uh passes all the

test qualities then it will move forward

or else the pipeline will get avered and

the developer will get a notification

that this code needs some uh changes and

still modifications or bus it has and

after that uh using that Nexus artifacts

from Nexus Docker will build the images

build the images and that will be pushed

to the ECR that we have used so to

storing the images and then we'll have

the continuous deployment TR we have

deployed we have used kubernetes for the

deployment of this latest images from

the ECR to the kubernetes using the

manif files so that's the process that

we have uh worked it like it defers on

the project to project that we have used

in my projects okay can you walk me

through a scenario where you used Docker

to troubleshoot containerized

application uh sure so we have used like

issues where we have tried to pull some

images from the ECR but we are not able

to because it was throwing some issues

like image pull back off and these kind

of things so at that time we need to

make sure that all the configurations

are right and the image name the taxs

that we are giving and the images exist

in the ECR that we'll measure all these

things and we'll TR should still if the

image is still there and we are not able

to pull up pull out and then we'll check

the logs where what is the error message

and depending on that will troubleshoot

more okay can you tell me about a few

error messages that you can recall what

sort of error messages came up when the

containerized application had issues so

containerized application when we have

used kubernetes

arated uh the container for managing

this container applications uh in the

ities we have faced issues like uh

performance symptom issues like

configuration configuration environment

variables is not correct and

configuration kind of issues and crash

Loop backups issues like image is uh

trying to start but it is failing it and

kubernetes Tred to restart it again and

still it is failing that kind of issues

we have faced like a dayto daily this is

this kind of daily kind of task so that

for that we used to troubleshoot we'll

find out the parts using C get parts and

then we'll see which part is having the

running in Crash back off and all and

then we will check the logs of it will

describe the part and we'll enter the

container and inside the container we'll

go and we'll check various kinds of logs

that we have also we have will check the

monitoring tools where we will all the

visualize the data to see the

visualization of this logs so checking

all these things we get to know where

the exact issue is and we'll

trou sheet and find the RO where where

exactly would you check the kubernetes

logs first we'll check in the virtual

machine itself like using the commands

and we'll find out the error message if

and also we can check in the using the

monitoring tools like proes and grao

where we can see the dashboards

dashboards

okay all right so in one of the projects

you said that you have measured 35%

increase in the code delivery rate after

implementing the cicd pipelines how do

you measure that

35% so it is like uh sorry can you

please repeat your question so I think

in in your CV I can see that you have

written that you measured 35% increase

in the code delivery

rate how do how do you measure that 35

why not 30 why not 40 why not 50 it's

not like exactly that how we Define the 35%

35%

but simultaneously we can say like uh

with the help of some other teams we can

make sure that the time that we

optimized the delivery date using some

optimization uh tricks that we have

implemented in our cicd projects by impl

minimizing the optimiz resource the take

resource limits and CPUs and the

optimizing the image size by using the

various tricks like multi-stage builds

so we have employed some kind of tricks

okay all right so when when I was

looking at this 35 uh I thought that

probably you had look at some sort of

metrics tool so there are many metric

tools which can prescribe these sort of

numbers so I was expecting that you

might be having like a j dashboard

report or some other deployment reports

which you can refer but but that's all

right yeah we have also used

G okay all right

so another number which is fascinating

50% reduction in deployment times

achieved through Docker kubernetes and

anible so what what do you understand by

a reduction in deployment time so the

deployment time it SE that depend it

depends on the deployment strategy that

we imply to deploy our application into

the kubernetes so we have used always to

reduce a down so the best part is we

always eager to reduce a downtime that

it takes to the deployment of the

application kubernetes so we have

implemented best deployment strategies

like rolling updates to for the zero

down times and I also used Canary

deployments uh to reduce the down times

okay without any effect of the to the

application can you tell me different

types of deployment strategies so

deployment strategies like uh blue green

deployment rolling updates scary

deployments A/B Testing so I have I'm

familiar with this three three uh blue

green and rolling updates and K

deployment all right can you tell me the

difference between each one of them yeah

sure so blue green deployment is used is

a continuous deployment process to

reduce a downtime and here we'll create

identical environment identical

environment like your production one

then you will root the traffic to the

with the latest uh version then you will

root that is called as green environment

that then they will gradually route the

traffic to the green environment that is

latest vers

and if user don't face any issues we

will be continue with that version and

the old version will be put it as a

backup the blue environment and the new

environment will again change as a blue

environment that's a blue green

deployment and when it comes to the

rolling updates in Rolling update the

deployment updates will take place with

zero down time but it takes a time for a

deployment uh deploy deployment into the

application but uh here the parts

gradually delet the old parts and the

new parts will get created in the in

case of this Canary deployments first

we'll release the new version to the

some set of users so that the impact

will be less and if that uh if the one

patient uses we'll roll out the whole

whole version to the whole of the TRU whole

whole

users all right now def tell me what is

the role of an artifact repository when

you're doing the deployments so what

happens if an artifact repository is

missing why is it important and what do

you do with that that is pleas a crucial

role if you want to deploy your latest

version into your kubernetes because

artifacts is the one that we'll get from

The Source codes uh like if it is in

case of java based project dat or jar

file jar artifacts will get created from

the build file that will use to store in

an exess artifact that we have used to

create doer images and if artifact

itself is missing then the latest otion

can't be deed into the kubernetes so it

is important to keep it safe and secure

and uh version it in case of roll backs

also okay all

right now I'll give you a scenario you

tell me how would you trouble shoot it

yes sir you have a you have a binary

running in production right now the team

which was running all the deployments

all the builds and everything that team

has been completely replaced by new guys

and they have no idea as to what is

running in production uh including your

source code and everything and else you

are given a task to identify which exact

source code version is running in

production in the binaries so youve got

all these containers which are running

how would you troubleshoot or how would

you trace the roots back to which source

code is exactly deployed what are the

steps okay to know like which source

code is deployed in which container what

is what is running in production yeah

you have you all you have is a

production environment and the set of

binaries which are running in production

how would you back Trace set to the source

source

code okay like we have multiple

pipelines so each artifact that will be

coming from the each service of the each

service will get stored in a separate

repository in

a repos manager itself like an exess so

there itself we can get to know which

source code is from the which pipeline

from which service so then we'll easily

uh we'll have used different tags for

each rep to know which service is from

the which which artifact is from the

which service so while deploying also we

have we had tax like commit ID so from

that we'll get to know that which

artifact is from which Services which is

deployed into the production Dev and

test we will get to

know okay uh and what exactly are all

the places where you will be looking for

the respective

tags uh so tags will be given in the the

tags will be given in the that step will

be added in the Jenkins pipeline itself

and the tag that tag will be sto with

that tag name will be stored into the

next also and the tag also given in the

doer image also that will be stored in the

the

ECR okay and uh about the source

code uh source code has already uh we

have repository we have separate

branches right for each service

I think so that's the

way okay uh tell me about you said that

you have worked on

Prometheus yes yes I just I have

monitored using PR and so tell me about

how did you configure Prometheus for the

monitoring so uh we have there are many

processes to configure the Prometheus

and raana so the easiest way that we

have used in our application is using

the helm charts we have directly

deployed into the CL ERS to monitor our

parts to monitor our part applications

into the prom grafana so in grafana we

have set up this data source for grafana

is as promo which will collect data

collections collect the metrics and logs

from the our application and that will

be given to the grafana to create a

dashboard and to see the visualized

dashboards of

lock okay all

right now coming to some of the security

measures so how do you ensure Security

in your DeVos

pipelines so security comes as a best

part into secur pipelines and uh images

the artifact that you created is uh very

important is very important so we have

employed various security measures in

our cicd pipeline like before after

building the code after before building

code itself we'll uh do M will undergo

into the unit testing some kind of unit

test and after it passes we will also

have used s code analysis stest using a

sonar where code will be checked for the

vulnerabilities and it will scan for

vulnerabilities after that if it passes

only it moves forward or else the

pipeline will get Abed and developer

will get know about the vulnerabilities

and when it comes to the darker image we

have used trivy to scan the darker

images for vulnerabilities and uh we

have also in Darker stage we'll make

sure that it is running as a nonroot

user to minimize the min minimize the

you know problems in case of

vulnerabilities and I also only expose

the ports which

aree necessary for absolutely necessary

for that

communication that that's how we will

also implement the network policies in

the kubernetes based on this that it

will only allow users that allow the

resources are users that are absolutely

necessary for the communication of our application

application

so to monitor a whole application we

have also employed

OAS so these are the practices we have

used in our application to as a security

based practices okay tell me about if

you are to secure a Docker

container which is highly sensitive uh

for an

application how do you visualize a

traffic coming from an external internet

to reach your Docker container which is

secure so where will you place your

Docker container and how do you think

the traffic what are the different

layers of security that your traffic

should pass through in order to reach your

your

container so we'll deploy our containers

in your Docker based on the

communication that you need will deploy

in the different kinds of doer Docker

networks like uh Docker host Docker O

Network Ducker Bridge default so if you

want external communication is needed

and your container needs a commun iation

from various other containers from other

darker Hol yeah we'll employ this overl

network this is for the complex

multihost Docker container setup we need

this O Network so here the containers

will communicate with other containers

from other Docker H so if you just need

Docker containers to communicate from

within only your Docker host one host

then it will employ the docker Bridge

Network which is always a default one so

based on this the container will

communicate the security Bas practices

is like um darker secrets we can use to

uh store our sensitive

informations these are the security B

practices when it comes to the container that

that

okay all right so you said that you have

worked on microservices uh you have

deployed all these

different and monitoring capabilities

have you have you ever worked on a monolithic

monolithic

architecture like initially when I

started my caner we have I have worked

on monolithic one okay can you can you

tell me the difference between a

monolithic and a microservice sure like

in microservices is just a design

approach where uh uh we'll deploy our

single service into a set of services so

that the uh operational load and many

benefits will uh will be taken from the

micro services as the like considering

operational load is considerably reduced

if you employ the micr services due to

its simple

architecture uh but it takes deployment

times but in case of Monolithic the uh

if you want to scale down or scale up

then entire application needs to be

scale up or scale down but in case of

services whatever the application need

to scale up you can scale up uh

independent of the other services so

there are many benefits compare it to

the montic and microservices

microservice has many advantages over

it and is there any tradeoff that you

can think when you are converting a

monolithic into microservice is there

something which

is when I say A tradeoff something which

was better in monolithic but yeah like

simple deployment is is there in

monolithic as possible some complex

deployment will be the uh complex

deployment is there in microservices

that's the only thing that I could I can

identify okay all right tell me the

difference between a stateful and a stateless

stateless

application yeah sure like stateful

applications are something which is used

for stateful State stateful set is used

for the stateful applications that where

you need the unique Network identif and

data consistency of persistent storage

that in that cases we use stateful

applications and this is best suited for

the data bases and any other

applications where the data consistency

and the unique Network interace are key

here the updates will be scaling and

updates will be happening

under like under scheduled manner only

in in an order manner the scal scaling

and updates will be done when it comes

to the stateless application deployment

is kind of a stateless application where

you if you need a scalable Deployable

and replaceable containers then it is

the best CH best choice

and here rolling updates and roll backs

will be possible here you just need to

uh give the desired state of your

application and kubernetes will uh work

on it to work on your cluster so that to

maintain the desired state of your application

application

okay have you heard of this word

immutable yes unchangeable can you tell

me the concept of immutable

infrastructure what does it mean uh

immutable infrastructure is something

that you cannot

change uh the infrastructure once you

just uh created

it what's the benefit of

it I don't think so I don't know I

haven't have an experence that's that's

all right

okay have you ever experienced like a

major service outage in any

application yeah like uh recently we had

a critical in

from the user saying that the whole

application crashed because of the

latest version so when we have seen that

we quickly implemented our incident roll

back plan where uh we quickly roll back

to the stable previous version

to activate the application service and

then we have ID uh with the cross

application communication we'll find out

the we had founded the root cause where

we have seen the database

misconfigurations in the latest version

so after that we have fixed that the

corresponding team that fixed the

database configuration setup and then we

have tested that multiple times in a

staging environment and then we had

again deployed into the production

without any

issues okay yeah that's one issue that

I've used so can you can you tell me the

difference between these two words RTO and

and

RPO sorry have you heard of RTO and

RPO no I think I in terms of in terms of

your disaster recovery

and resour no I don't have it all right

so yeah so RP is recovery time objective

and RPO is recovery Point objective

maybe you can just go and read about

yeah all right in terms of have you

heard of this word chaos

engineering I am I heard it heard about

it but uh I don't have much I think I

need to look into that okay no

problems have you heard about

giops yes I explain me

giops like using gitops it is similar uh

tool like Jenkins where you have you can

Implement your pipelines uh manage your

project I'm not I haven't I have not I

don't have an experience working with

giops I have used so far Jenkins only as

an open source ASD tool yeah I know that

Jenkins that's all right

okay all right uh what in terms of

security what do you understand by

difference threats are like uh processes

which will no not threads threat

okay threat threat is some kind of

issues that will crash your application

and vulnerabilities which will come out

out from the uh

scammers which you can resolve using

some kind of firewalls like we have AWS

Shield we can make use of firewalls to

protect your application from this kind of

thanks all yeah I'm not sure if you're

really clear on these

but okay explain me the role of identity

and access

management so yeah identity in access

management is basically a service from

AWS which we use to manage uh users and

their permissions users and groups and

their permissions so because various

users needs V varying level of access to

the services so we make use of this a

services in AWS so using this we can

create users manage users create groups

and manage users we can create policies

and manage the users

credentials with this

AWS service can you tell me the

difference between a group and a

role uh role is an I am entity that

defines a set of permissions to raise to

make AWS service requests whereas groups

is combination of few users combination of

few uh what to say combination of

few groups like

uh supplemental groups like supplemental

things which you can group and you can

give to the group of users so that the

whole group whole use group of users can

access to that particular things okay

can you explain me role a bit more in

detail uhe yeah what would you use a role

role

for to give access to the other service

like uh there is an S3 bucket and I want

to access it from another a account in

that case we will create a role and give

that uh give some permission policies to

that like get object list objects and

then we will assign that to the I am

user so that the user can access it from

the other account the content of the

bucket to that account so such is role

limited only to AWS services or can you

also give a role to a manual console

user MH yeah we can give it am rule can

Services

okay all right so let's say that you

have some sensitive data that you want to

store and tell me what are the different

ways in which you can protect your sensitive

sensitive

data so like in case of any particular

tool or it is entire application so in

AWS we have secrets managers to store

our senstive data in kubernetes we have

like kubernetes secrets and in Docker we

have Docker secrets in anible we have

anible VA like that in every tool if you

can see we have a Secrets where we can

store sensitive data without uh uh

exposing secret exposing sensitive

information like passwords access Keys

into our main codes so we use this uh

sensitive information into our secrets

okay so Secrets is one way what are the

other environment variables is also

another way where we can store the

sensitive information without exposing

it okay and how would you protect the

information I know that you you so so

far you have told me only one which is

using Secrets what are the other

use that's it uh that's what I know I

get have used in my previous

rules the secr you told me about these

things in your answers

previously you need to summarize what

are the different

security either tools or practices that

you can use in order to protect a sensitive

sensitive data

data

so to protect sensitive data like we

have used Secrets only in I I'm not

recalling it

Enon yes encrypt we can encrypt the data

so we have TLS we have certificate

bundles in AWS TLS and SSL which we

encrypt to we use this to encrypt in S3

we have a default encryption options

like uh server side encryption server

side encryption with KMS dual layer

server side encryption we have

encryption option like we can encrypt

the data okay it can you tell me the

ckms KMS is used to manage your

encryption keys on your behalf so it

will rotate your keys ckms also I think

does the same work but I have not used

it so far so I don't have much does c

stand for in

ckms not sure that's all right

okay explain me the con concept of zero

trust security what does it

mean uh zero trust security with the

name I can tell that uh

the the security is the high level

security can be implemented with this

zero trust

that yeah the the name says it a little

bit uh yeah all right so it's all to do

with your micro segmentation of networks

your authentication

authorization uh monitoring and threat

detection lease privilege access so all

right you can go and have a read about

sir next

question all tell me some of common Cloud

Cloud

misconfigurations that are done which

can be prevented

easily like in recent uh recent changes

no in cloud in Cloud there there are

lots of different

configurations which can be

misconfigured and that would make your

application very

insecure right so I'll give you an

example for example like publicly

exposed uh storage buckets so that is

one common miscon U so what I'm trying

to get from this question is still about

security but what are the specific

things if you if you have an application

all right so let's say you have a

scenario where somebody's asking you to

look at an existing application which is

deployed and asking you that okay sh can

you please confirm that this application

conforms to all the different security

and it is really secure what are the

things that you would go and look into that

that

application okay I'll check the various

security measures that it followed so

far so like uh whether it has used all

the VP whether it is under VPC whether

it used public where it is various

instances is deployed into the which

subnets public and private I I will um

I'll check that and after that I'll

check the various security groups and

the which application which ports that

this application is listening to and the

various security groups and the net net

gateways internet gateways rooting

policies I used I will check this basic

things first and then the firewalls and

the other security measures coming to

the cicd pipelines I'll check the uh the

so check what is it is doing doing in

case of this checking the code qualities

uh and I'll also make sure that uh it is

following the vulnerability checks using

the for darker images using like triv or

any other tool it is using so various

Network policies that it used the

services that kuity service that it use

it used to expose application I'll check

all these things to get to know to

figure out the security things that it

followed earlier and whether it is best

or not that then we can

decide okay all

right now have you heard of this term

distributed denial of

service no sorry distributed no I didn't

okay tell me about so you use 3 before

right so tell me about the S3 life cycle

policies what do you understand by that

so life cycle policy is a feature in S3

using that you can transition your uh

data from one class to the one storage

class to the another storage class it is

a process of automating of moving your

objects from one story class to the

another story class like we have uh to

reduce it is basically used to reduce

your cost so that your objects you are

preing or else you are accessing it very

rarely in that case you need to move

from one storage class to another

storage class to secure to optimize your

class like we have S3 standard s

standard IIA oneone IA S3 intelligent

tiring we have S clure we have so we'll

move our objects from one storage class

to the another storage class by

automating it with the life cycle life

cycle rules in S3 okay now let's say you

have a scenario and I want you to

actually problem solve this

you have a you have a customer who wants

to place a file in somewhere okay I want

you to design the solution and tell me

about it sure he wants to place a file

somewhere and then he wants so it's like

a image file okay then he wants to have

that image file so what what he has done

is he has just placed the

file now from your end you need to

develop a system

which can take that file as soon as it is

is placed

placed

okay collate all the different files

together stitch them up make a

video and uh store it again in somewhere

else right so the customer will keep on

pumping all the different

files okay so let's say in an S3 bucket

so I need you to design a solution where

all these different files are

together automatically make a video and

then place it somewhere else how would

you design the solution what are the

different AWS services that you will

use what attributes would you put on to

sorry listen the question what are

different services that you will use

what attributes will you put to your S3

bucket how will you make it secure that

only the customer can put files into it

and how would you design a solution

where all these things happen

afterwards so this will be like enter a

mini project where we can design the

architecture like uh whenever he uploads

something we'll like automate this

process first we'll create a s bucket

we'll put this uh we'll make it private

so that only customer can access it and

upload the files and then we we will put

our s buckets and data databases we use

after creating a video we'll store it

some kind of data uh we'll store it in

somewhere like S3 only and this entire

things can be put under some

VPC uh and we will protect our entire

this thing to convert it we we need to

use some kind of uh third party

applications to convert all the images

into some video and then put in into

S3 can you can you do all of these

within AWS

itself yeah I think most of the things

can be done with the AWS itself uh

because uh no no I'm asking you the name of

of services

services okay

okay

uh the image collect

S3 customer will upload the files the

images into the S3 bucket okay now let

let's let's drill down a little bit

little bit deeper into it customer

uploads the S3 you said that you have

provided private access yeah explain me

that private

access private access to this bucket yes

so if it is S3 private bucket the

customer is uh uploaded the file into

how how will the customer get access to that

that

bucket we'll give access to the S3

bucket access to the customer by by with

the bucket policies by creating a bucket

policy like get or put objects put

object policy permission policy to that

bucket and assign an I am role to that

user so that the user can put uh images

into that s put object into that s file

right once the once the once the file is

available using the role the customer

can put up a file once the file is

available what happens

next so so then we'll need to use some

kind of AWS service I don't know whether

we have that our third party application

service not you can use any service

which one we have transcoder I guess the

how will

trans media files into versions it not

not media when when a file comes onto S3

bucket which service will determine that

something has come

up uh Lambda function we can use okay uh

to create the event will trigger the

Lambda function that I think it will

conver all the images into some kind of

video I I don't know whether it's

possible but Lambda function can do this

uh work based on the events it will run

the function of code and then it will

convert to the code yes I think it's

possible because Lambda we can write the

code and that code will convert this

images into the video and then it can be

published or put into

some all right I think I can go on and

on with my questions but I think we are

just running short of time so yeah uh

all right shake so I think we'll just

conclude the interview here uh and I'll

give you my feedback and thanks for

attending it today and uh yeah wish you

Click on any text or timestamp to jump to that moment in the video

Most transcripts ready in under 5 seconds

One-Click Copy125+ LanguagesSearch ContentJump to Timestamps

Paste YouTube URL

Enter any YouTube video link to get the full transcript

Most transcripts ready in under 5 seconds

Get Our Chrome Extension

Get transcripts instantly without leaving YouTube. Install our Chrome extension for one-click access to any video's transcript directly on the watch page.

Add to Chrome — Free

Works with YouTube, Coursera, Udemy and more educational platforms

Get Instant Transcripts: Just Edit the Domain in Your Address Bar!

YouTube

←

→

↻

https://www.youtube.com/watch?v=UF8uR6Z6KLc

YoutubeToText

←

→

↻

https://youtubetotext.net/watch?v=UF8uR6Z6KLc

YouTube TranscriptPreparing your results…

YouTube Transcript:3 Years Experienced Devops Cloud engineer Live Interview #devopsinterview #devopsengineer #devops

Video Transcript

Summary

Core Theme

Paste YouTube URL

Transcript Extraction Form

Get Our Chrome Extension

Get Instant Transcripts: Just Edit the Domain in Your Address Bar!

YouTube Transcript:
3 Years Experienced Devops Cloud engineer Live Interview #devopsinterview #devopsengineer #devops