Great Qs, You are right basically every cloud provider has tried building their own DevOps Ecosystem so that the DevOps teams need not to go anywhere outside to use the open source tools. From a business standpoint it makes sense because you are keeping your customers within your ecosystem without external dependencies, from customer standpoint it makes their life easy as they can start building their DevOps pipelines without spending much time on deciding what all tools to use. Hope it helps
@@ITkFunde Thanks for the answer. Couple more questions. So from the perspective of someone who wants to get into Devops, if I learn Azure Devops, then will I be not considered for AWS devops roles and is it easy to move to AWS devops if someone already knows Azure Devops?
In short If you know Python and Sql you will opt for Data Engineer , For Devops You need to know about Cloud, Linux, GIT, Jenkins, Docker , KUberneteres, Artifacotry, Code Scanner like sonarqube and monitoring tool. Devops is tough as compare to Data engineer. I worked in both side data engineer little easy as compare to Devops. Devops is really a strugle
@@kshitiz4416 To understand Devops you have to Understand Cloud (Most of the organisation working on cloud these days on prem is 10 to 20%) first. To Understand Cloud pre requite networking. Then come to OS linux is must , Then containerisation , Kubernetes that very topic and some what you to know about little about Java , Python and node js as well. Then Openshift and monotoring tools are in vouge these days. Day by days new sevices is added into cloud and devops as well so always you have to ready to learn and brain storing on these things.
Hello Anshul, I am your long-time subscriber and first of all I would like to say that it was a great presentation. However, I think, you should have added a fourteenth point also. You touched it partially but it is very important nowadays in the world of AI and automation, and that is ' Job Security'. Devops tools automation eats the job of the devops engineer itself. I have seen many tools that were popular and very useful at one time soon became obsolete. I am old now and cannot constantly update myself and want some job security. Secondly, whenever, I join a new job, I have to compete with younger kids. Naturally, they are more energetic and up-to-date. Recruiters in their JD mention a lot of experience, but in that period, everyone knows how much cloud and tools have changed. Every day there is a new dashboard. So the experience really does not matter as the tools are constantly changing. Hence I am now trying to move to the Data Engineer/ Scientist field. I have touched Python, Statistics, PowerBI, DBs and Panda, Matplot, etc libraries. However, I am still not confident in how to transition and how to modify the resume, etc. and I could use some help. Although a lot of information is available online, in one of your videos - you mentioned the importance of mentorship. I don't have a job right now. Also as you pointed out, when you get old, you need some visibility and interaction with upper management and clients. I would like to come out of the backend and be a more people person. Would you be able to mentor me in your spare time, to point me in the right direction and help me choose the right path? rajeshg.chopra@yahoo.com
Hi Rajesh you have always been a great supporter of my efforts throughout these years on this channel🙏. The point you raised so valid, thanks for bringing this up. Please ping me on LinkedIn and we shall talk on Phone, I will share whatever insights and guidance I can.
Great Video sir, but i disagree on fewer side. Devops is really tough and nt just broader knowledge help even deep knowledge of tools is also needed like k8s it has its own cncf, ansible/chef custom libraries are developed. Even linux there are n number of things need to learn to fine tune and solve real world problem, i did not even touch on observability tools, cloud itself now needs to have multi cloud knowledge also entire DB knowledge not only queries but also configuration side of it. Also you mentioned SRE or Devops do not interact with senior management or visibility. Anything that breaks in prod DevOps guy is the first spoc, Even for Cost optimization, Performance under load management will directly call Devops spoc. I hope this overwhelming thing changes but this needs to be addressed. In JD now days it mentions 24*7 availability.
Great video on the topic of data engineer vs devops engineer. Very well and to the point explained. I would say the most required video at current times where many people are deciding between choosing both the career path.
Hi sir, can we change our role from data engineer to Devops after few years if experience may be around 3-4years? And i m non IT background but i m planning to jump into IT , which one will be better for me as per your suggestions. Currently i am working as Procurement Executive and everyday i m into excel works, ms word, data presentation etc for daily reports, cost analysis etc. so please let me know which field i can jump and will be best suited for my career.
I am little confused why are you thinking about DevOps when your current profile so inclined towards Data Analysis. I suggest you focus on Data Analyst and BI Visualization expert on Power BI amd Tableau
Nice analysis, can you please help me one more point. In terms of an Indian IT professional, which one has a better chance of getting on-site opportunity? I feel a devops or cloud engineers are working on something where businesses knowledge is not that much important, so data engineer has a slight advantage here. Please let us know your thoughts on this point
Its a great Qs but a tricky one it really depends on the project you are working and also ur client. But you are right that Data Engineers might have a slight edge for onshore but its very subjective
In the recent trends, as mentioned in Data As a Product, the work of data engineers will be reduced. In my opinion devops engineers will have more impact then data engineers due to companies are establishing Entreprises Data Platform.
But you cant say devops is tough...learners will getuch negative impact ...it can let think one not to go for it .. yes it might be tough but not a rocket science
![VENEZUELA vs. ARGENTINA [1-1] | RESUMEN | ELIMINATORIAS SUDAMERICANAS | FECHA 9](http://i.ytimg.com/vi/SJfoPdeOPCQ/mqdefault.jpg)
*Hello, i am new to DevOps. Wanted to know how Azure Devops & AWS devops different from each other technically. Do they use different set of tools?*
Great Qs, You are right basically every cloud provider has tried building their own DevOps Ecosystem so that the DevOps teams need not to go anywhere outside to use the open source tools. From a business standpoint it makes sense because you are keeping your customers within your ecosystem without external dependencies, from customer standpoint it makes their life easy as they can start building their DevOps pipelines without spending much time on deciding what all tools to use. Hope it helps
@@ITkFunde Thanks for the answer. Couple more questions. So from the perspective of someone who wants to get into Devops, if I learn Azure Devops, then will I be not considered for AWS devops roles and is it easy to move to AWS devops if someone already knows Azure Devops?
@@P_Nut07yes u can move easily
Some services and ui is different
In short If you know Python and Sql you will opt for Data Engineer , For Devops You need to know about Cloud, Linux, GIT, Jenkins, Docker , KUberneteres, Artifacotry, Code Scanner like sonarqube and monitoring tool. Devops is tough as compare to Data engineer. I worked in both side data engineer little easy as compare to Devops. Devops is really a strugle
I quite agree with you. I have spend almost 2 years learning DevOps. It is so tough
Haha that's real😂 I have been working as Devops field n exhausted
@@ejiakanwaeze2738 can you why devops is exhausting? Is it dificult or easy then coding?
Why devops is tough?
@@kshitiz4416 To understand Devops you have to Understand Cloud (Most of the organisation working on cloud these days on prem is 10 to 20%) first. To Understand Cloud pre requite networking. Then come to OS linux is must , Then containerisation , Kubernetes that very topic and some what you to know about little about Java , Python and node js as well. Then Openshift and monotoring tools are in vouge these days. Day by days new sevices is added into cloud and devops as well so always you have to ready to learn and brain storing on these things.
Hello Anshul, I am your long-time subscriber and first of all I would like to say that it was a great presentation. However, I think, you should have added a fourteenth point also. You touched it partially but it is very important nowadays in the world of AI and automation, and that is ' Job Security'. Devops tools automation eats the job of the devops engineer itself. I have seen many tools that were popular and very useful at one time soon became obsolete. I am old now and cannot constantly update myself and want some job security. Secondly, whenever, I join a new job, I have to compete with younger kids. Naturally, they are more energetic and up-to-date. Recruiters in their JD mention a lot of experience, but in that period, everyone knows how much cloud and tools have changed. Every day there is a new dashboard. So the experience really does not matter as the tools are constantly changing.
Hence I am now trying to move to the Data Engineer/ Scientist field. I have touched Python, Statistics, PowerBI, DBs and Panda, Matplot, etc libraries. However, I am still not confident in how to transition and how to modify the resume, etc. and I could use some help.
Although a lot of information is available online, in one of your videos - you mentioned the importance of mentorship. I don't have a job right now. Also as you pointed out, when you get old, you need some visibility and interaction with upper management and clients. I would like to come out of the backend and be a more people person. Would you be able to mentor me in your spare time, to point me in the right direction and help me choose the right path? rajeshg.chopra@yahoo.com
Hi Rajesh you have always been a great supporter of my efforts throughout these years on this channel🙏. The point you raised so valid, thanks for bringing this up. Please ping me on LinkedIn and we shall talk on Phone, I will share whatever insights and guidance I can.
Great Video sir, but i disagree on fewer side. Devops is really tough and nt just broader knowledge help even deep knowledge of tools is also needed like k8s it has its own cncf, ansible/chef custom libraries are developed. Even linux there are n number of things need to learn to fine tune and solve real world problem, i did not even touch on observability tools, cloud itself now needs to have multi cloud knowledge also entire DB knowledge not only queries but also configuration side of it. Also you mentioned SRE or Devops do not interact with senior management or visibility. Anything that breaks in prod DevOps guy is the first spoc, Even for Cost optimization, Performance under load management will directly call Devops spoc. I hope this overwhelming thing changes but this needs to be addressed. In JD now days it mentions 24*7 availability.
Thanks Sameer for your valuable insights DevOps is vast and deep I agree 👍
Great video on the topic of data engineer vs devops engineer. Very well and to the point explained. I would say the most required video at current times where many people are deciding between choosing both the career path.
Very informative. Thanks a million for sharing it Anshul. Keep rocking !!!
Thanks Vishnu ☺️
@@ITkFunde welcome Anshul
Amazing. Good explanation brother. What do you think the understanding of system design role play in DE development?😊
Do we need any prior experience to start a career as Data Engineer? I am a college student, I don’t have any experience.
Thank you sir cleared my doubts
This video gave me a lot of knowledge and exposure to these fields...thsnk you for your effort in making these useful videos
Great Video, Sort and very informative
Sir plz digital board ka use kijiye plz🙏🙏
Please put a video as SRE vs Data Scientist.
Hi sir, can we change our role from data engineer to Devops after few years if experience may be around 3-4years? And i m non IT background but i m planning to jump into IT , which one will be better for me as per your suggestions. Currently i am working as Procurement Executive and everyday i m into excel works, ms word, data presentation etc for daily reports, cost analysis etc. so please let me know which field i can jump and will be best suited for my career.
I am little confused why are you thinking about DevOps when your current profile so inclined towards Data Analysis. I suggest you focus on Data Analyst and BI Visualization expert on Power BI amd Tableau
@@ITkFunde ya sure sir. Thank you. I will more focus on Data analyst
Nice analysis, can you please help me one more point. In terms of an Indian IT professional, which one has a better chance of getting on-site opportunity? I feel a devops or cloud engineers are working on something where businesses knowledge is not that much important, so data engineer has a slight advantage here. Please let us know your thoughts on this point
Its a great Qs but a tricky one it really depends on the project you are working and also ur client. But you are right that Data Engineers might have a slight edge for onshore but its very subjective
Informative. Thanks.
great explanation thank you so much @IT k Funde
I have been working as Devops engineer and work is hell everyday incidents, pipeline collaboration is like totally shit.
Thanks for sharing your honest views
How much work experience do you have.. as I also experienced same
Bhai Can we connect??
I have been working from past two years
how much devops make
In the recent trends, as mentioned in Data As a Product, the work of data engineers will be reduced. In my opinion devops engineers will have more impact then data engineers due to companies are establishing Entreprises Data Platform.
Thats could be possible 👍
What is the future scope of GCP data engineering?
It has a bright future, GCP is viewed as a one of the leader when it comes to Data Analytics and Processing
please make a DataOps video
any video on devops and MLops vs dataops
Thankyou 😊
data analytics course please
DataOPS
21:30
Can anyone go for data engineering aftwr learning and working in devops engineering?
Why Not?? U can utilize ur skills in python for example in data engg
But you cant say devops is tough...learners will getuch negative impact ...it can let think one not to go for it .. yes it might be tough but not a rocket science
Not at all I tried highlighting DevOps pros n cons... But as i said at the beginning its a great career path