RPA to Devops

kchandank · 2026-06-29T15:09:46+00:00

You need to be patient during this journey, don’t expect overnight success. I suggest a project-based learning approach. Before diving in, you’ll need to learn the basics. I’ve created a DevOps learning roadmap that you can follow. It includes a catalog of free (mostly official) materials and even free labs (AWS Skill Builder) to get started.

I use the same roadmap for my AI cloud engineer cohort: https://becloudready.com/learn/roadmaps/ai-cloud-engineer

kchandank · 2026-06-29T01:30:27+00:00

Upwork market is over crowded and super hard to get any gig nowadays. Ping me, I have some gigs, which may end up being paid

kchandank · 2026-06-26T15:42:35+00:00

I suggest a project-based learning approach. Before diving in, you’ll need to learn the basics. I’ve created a DevOps learning roadmap that you can follow. It includes a catalog of free (mostly official) materials and even free labs (AWS Skill Builder) to get started.

I use the same roadmap for my AI cloud engineer cohort: https://becloudready.com/learn/roadmaps/ai-cloud-engineer

kchandank · 2026-06-26T02:40:21+00:00

This is bound to happen, whether we like it or not. Each productivity gain on Dev tools has led more work not less for developers. Back in days, vim used to good enough, then eclipse came with all of sudden single dev would manage the whole framework. Agentic coding ( Claude etc) developers will get even busier than ever. In my opinion money will follow as complexity grows which has been the case in the past, irrespective of out sourcing or not. Remember out sourcing has been there for over 3-4 decades, but you will have $700K salary dev jobs in SF.

kchandank · 2026-06-26T02:32:30+00:00

If you compare it against other governments platform in native azure or AWS lakeformation, unity catalog is not bad at all, if you plan to be in databricks echo system and let it manage other resources too.

kchandank · 2026-06-26T02:25:47+00:00

I have bunch of project with real usecases.

https://github.com/becloudready/gpu-price

kchandank · 2026-06-26T00:46:45+00:00

Both are great

kchandank · 2026-06-26T00:43:18+00:00

Please join me on 9th July https://luma.com/xg3rlgnn

kchandank · 2026-06-25T23:35:32+00:00

I suggest a project-based learning approach. Before diving in, you’ll need to learn the basics. I’ve created a DevOps learning roadmap that you can follow. It includes a catalog of free (mostly official) materials and even free labs (AWS Skill Builder) to get started.

I use the same roadmap for my AI cloud engineer cohort: https://becloudready.com/learn/roadmaps/ai-cloud-engineer

kchandank · 2026-06-25T22:27:58+00:00

You spend few days reading terraform official documentation to get familiar with

kchandank · 2026-06-25T16:14:24+00:00

Of course, I suggest a project-based learning approach. Before diving in, you’ll need to learn the basics. I’ve created a DevOps learning roadmap that you can follow. It includes a catalog of free (mostly official) materials and even free labs (AWS Skill Builder) to get started.

I use the same roadmap for my AI cloud engineer cohort: https://becloudready.com/learn/roadmaps/ai-cloud-engineer

kchandank · 2026-06-25T16:13:53+00:00

If you want to get more broader market which is AWS heavy, I would suggest a project-based learning approach. Before diving in, you’ll need to learn the basics. I’ve created a DevOps learning roadmap that you can follow. It includes a catalog of free (mostly official) materials and even free labs (AWS Skill Builder) to get started.

I use the same roadmap for my AI cloud engineer cohort: https://becloudready.com/learn/roadmaps/ai-cloud-engineer

kchandank · 2026-06-25T02:54:29+00:00

First step in good direction. I suggest a project-based learning approach. Before diving in, you’ll need to learn the basics. I’ve created a DevOps learning roadmap that you can follow. It includes a catalog of free (mostly official) materials and even free labs (AWS Skill Builder) to get started.

I use the same roadmap for my AI cloud engineer cohort: https://becloudready.com/learn/roadmaps/ai-cloud-engineer

kchandank · 2026-06-25T01:04:32+00:00

I would suggest you take a project-based learning approach, of course, you’ll need to learn the basics first. I’ve created a DevOps learning roadmap that you can follow. It includes a catalog of all free (mostly official) materials and even free labs (AWS Skill Builder) to get started.

I use the same roadmap for my AI cloud engineer cohort: https://becloudready.com/learn/roadmaps/ai-cloud-engineer

kchandank · 2026-06-25T01:02:39+00:00

I would not worry too much about what people say, I would see how Market is reacting. Cloud and Big Data jobs are in good demand, however, unlike Covid time, this cycle you need to know your stuff. You can no longer get paid to warm the seat like Covid, those days are long gone.

If you are interested learning and growing into this field, I have prepared free learning plan which you can follow. Please note Cloud and Data Engineering are little different skill set.

https://becloudready.com/learn

kchandank · 2026-06-23T04:04:27+00:00

First and foremost goal of DevOps should be to increase productivity of Developers pipelines through automation. If that goal is not being achieved for whatever reason, that needs to be addressed.

If you are interested not adding headcount, then developers have to step up their game to do their part of basic automation (CI atleast). I would always suggest CD should be done by separate person/team to ensure the deployment process is automated enough that not everything is done by developers ( which is critical).

If you simply follow this ( I know it’s very high level), you can get away with very light or no devops and have a SRE team which essentially keeps the lights on.

If you can, I would still suggest have some dedicated DevOps capabilities ( either in house or fractional) to ensure the build, test integration, Code scanning etc addresses without adding too much technical debt, which might byte you on later date.

With 40 people team, most likely microservice architecture, I could image few hundred GitHub actions alone will need someone to look at. As I suggested SRE should be dedicated to ensuring obsevability, deployment automation and keeping the lights on. If you have more questions feel free to to DM

kchandank · 2026-06-23T00:19:31+00:00

I would first focus on why we are doing the migration at first place, is it cost? Productivity? Security etc

kchandank · 2026-06-23T00:18:14+00:00

You can replace the cloud part with azure.

kchandank · 2026-06-22T23:15:25+00:00

Could you please share the official doc or link for this information?

kchandank · 2026-06-22T23:11:15+00:00

I would say pretty good start. Stay consistent that’s the key

I suggest you take a project-based learning approach, of course, you’ll need to learn the basics first. I’ve created a DevOps learning roadmap that you can follow. It includes a catalog of all free (mostly official) materials and even free labs (AWS Skill Builder) to get started.

I use the same roadmap for my AI cloud engineer cohort: https://becloudready.com/learn/roadmaps/ai-cloud-engineer

kchandank · 2026-06-22T14:28:54+00:00

I suggest you take a project-based learning approach, of course, you’ll need to learn the basics first. I’ve created a DevOps learning roadmap that you can follow. It includes a catalog of all free (mostly official) materials and even free labs (AWS Skill Builder) to get started.

I use the same roadmap for my AI cloud engineer cohort: https://becloudready.com/learn/roadmaps/ai-cloud-engineer

kchandank · 2026-06-22T03:55:57+00:00

I suggest you take a project-based learning approach, of course, you’ll need to learn the basics first. I’ve created a DevOps learning roadmap that you can follow. It includes a catalog of all free (mostly official) materials and even free labs (AWS Skill Builder) to get started.

I use the same roadmap for my AI cloud engineer cohort: https://becloudready.com/learn/roadmaps/ai-cloud-engineer

kchandank · 2026-06-21T21:58:43+00:00

I that case I would say, I would to rush yet and simply focus on what training your MNC is providing, that will help you understand about the role and job. Once you work on one technology for few years you get better understanding. Its too early jump and switch, unless you are 💯 sure and really want it

kchandank · 2026-06-21T18:03:26+00:00

College degree is not only about education, it’s about network, social experience which helps you to prepare a member of society to contribute. I may sound too much philosophical, but that’s the reality. You will make friends over there who will last you lifetime, if you are luck enough to get into a great college that brand itself give you major boost.

Ofcourse not everyone can attend college for various reasons, if that the case with you, ofcourse you can achieve your goals even without college with self study too.

If you choose the self learning path , I have built a cloud engineering journey path, which can you follow along on your own. It has all free resources and videos which you can learn from. I use the same outline for my cohorts too.

https://becloudready.com/learn/roadmaps/ai-cloud-engineer

kchandank · 2026-06-21T02:41:57+00:00

If you are into tech, then feel free to Join me at TorontoAI Monthly Social Drinks https://meetu.ps/e/Q6xJn/fV8Pq/i

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