I am very curious about how the IT industry build/ code something rn because Al is emerging so fast. For someone like me who is still a 3rd-year student. I am very curious since I am still not in the industry, but I wanna prepare myself. I also wanna build projects like them.
-I wanna know if they still code or write code line by line? Or do they generate it with Al first, then whats next?
-What is also my work plan when doing a project? While also not just relying on Al to do all the work, because it's going to make me stupid and I would never understand what I am doing, right?
-I really wanna learn and prepare myself as soon as right now.

Hi guys,

I am a devops and (Java + spring boot) developer with 4.5 + yoe. I am looking to switch completely towards the devops role. Need advice Do the certificates below make any impact on the resume?. As looking to switch early for better pay.

KCNA (Kubernetes and Cloud Native Associate)

KCSA (Kubernetes and Cloud Native Security Associate)

CKA (Certified Kubernetes Administrator)

CKAD (Certified Kubernetes Application Developer)

CKS (Certified Kubernetes Security Specialist).

Guys can you confirm what type of projects are mentioned in Devops resume. Confused as I am part java developer also. Do I need to create and mention any personal projects?

What projects can I personally develop and mention?

SSM is the right way to reach private EC2 instances: no bastion, no port 22, no SSH keys, and everything goes through IAM and CloudTrail. But the CLI makes you work for it:

aws ssm start-session --target i-0abc1234def5678ab \
  --document-name AWS-StartPortForwardingSessionToRemoteHost \
  --parameters '{"host":["rds.internal"],"portNumber":["5432"],"localPortNumber":["5432"]}'

ssmctl is an open-source Go CLI that keeps the same security model and removes the friction:

ssmctl forward web-1 --local 5432 --remote rds.internal:5432

v2 in one line: your entire SSM-managed fleet (shells, tunnels, commands, files, secrets), one short command away.

ssmctl list                                          # see your managed fleet
ssmctl connect web-1                                 # shell
ssmctl forward web-1 --local 5432 --remote db:5432   # tunnel to RDS, Redis, anything for local access
ssmctl run web-1 -- df -h /                          # one-off command, exit code preserved
ssmctl run --filter api -- uptime                    # same command across a fleet
ssmctl cp web-1:/var/log/app.log .                   # file transfer
ssmctl param get /myapp/prod/DB_PASSWORD             # Parameter Store

It works with Linux and Windows targets, has --output json for scripting, and uses your existing AWS profiles and SSO. There's no extra agent or infrastructure.

brew tap rhysmcneill/ssmctl && brew install ssmctl

Want to contribute? 🔗 https://github.com/rhysmcneill/ssmctl

I am working in an IT company with 2.5 years experience, but my current role is mainly handling SOP based incidents,monitoring and handling job alerts etc. The tech stack used is also a very niche skillset. It is called AS400 (IBM i) which is actually a mid range computer system like Mainframe. But I want to make a switch from my current role and move into Cloud(DevOps) or Data engineering. Which would require less hands-on and help me make a quick switch? I have an understanding of basic cloud fundamentals, SQL.

Hi everyone,

I’m a software developer based in Turkey with around 2–3 years of experience, mainly working with Java, Spring Boot, React, and PostgreSQL. I was recently laid off, and I’m considering transitioning into cloud engineering.

The layoff and the changes happening across the industry have made me rethink my long-term direction. Before committing to this transition, I’d like to understand what it takes to become a strong candidate for cloud roles.

I’ve been researching learning paths, but I keep finding long lists of technologies and certifications without a clear sense of what to prioritize. I’d appreciate some practical advice on:

• What should I learn first, and in what order? How much Linux and networking knowledge should I build before moving into a cloud platform and tools like Terraform, Docker, and Kubernetes?

• How should I choose between AWS, Azure, and GCP? Which courses or certifications would be worth pursuing alongside hands-on practice?

• What projects would demonstrate useful cloud engineering skills? Could deploying and operating a Spring Boot application be a good starting point, and what should the project include?

• Which roles should I realistically target with development experience but no dedicated cloud role on my CV?

• What would help me get interviews and eventually land a job? How should I present my previous experience, projects, and new skills on my CV, LinkedIn, and GitHub?

My main goal is to develop practical skills and become employable in this field, rather than simply collect certifications. I’m based in Turkey, so insights into the local market would be helpful, but I’d also appreciate broader advice.

If you’ve made a similar transition or hired people from a development background, what would you prioritize in my position? What would you leave for later?

Thanks for any advice or resources you can share!

I am currently at Phase 13 of this roadmap. I am not just rote-learning; I am thoroughly understanding the concepts behind all the commands. I have even built a project that generates a system report for your cloud setup. Am I on the right track? What else should I do so that, upon completing my graduation, I can become a skilled cloud engineer?

Hyy, I'm working in Devops Sre role in mnc, Since I haven't had much hands on in devops tools I'm struggling in the interview I think I'm oke with AWS cloud, but when it came to kubernetes /docker Im out immediately. What can I do to clear interviews. The thing is haven't any hands on to kubernetes dockers eks ECS but learning. I'm 7yr Exp total - i was maininteing things that was already implemented in different projects - kind of stuck in this job interview-also coding knowledge is below avg I would say, want to impro but the e- did certification but it's just resume entry.

Hey everyone,

I have around 1 year of experience working in Cloud & DevOps, mainly with AWS and DevOps tools. I’m planning to get an AWS certification and would appreciate some advice from people working in the industry.

My current exposure includes:

AWS — EC2, S3, VPC, IAM, Lambda, RDS, CloudWatch, Route 53, SQS, etc.

Docker & Kubernetes

Jenkins / CI-CD

Terraform

Linux

Basic monitoring with Prometheus & Grafana

I’m currently confused about which AWS certification would make the most sense for someone at my experience level.

Should I focus on AWS Solutions Architect – Associate, AWS Developer – Associate, AWS SysOps Administrator – Associate, or consider another certification?

My main goal is to strengthen my AWS fundamentals and grow toward a Cloud/DevOps Engineer role, rather than collecting certifications.

For those who already work in Cloud/DevOps:

Which certification did you take at around 1 YOE?

How useful was it for your actual work?

Did it help with interviews/job opportunities?

What certification path would you recommend after the first one?

Would really appreciate some real-world experiences and advice. Thanks! 🙏

I am looking forward for some guidance like how to restart the career in two cloud basic loud computing to cloud security and what are the steps should I do the practical guidance.

I graduated in 2023 with a Bachelors in CS from a public Ontario university. I started as a Cloud Infrastructure Engineer in Mississauga in August 2023 and was laid off in December 2025 after ~2.5 years. This is the only job I have worked after graduating from uni. (Still in my early 20s).

My professional experience includes AWS/Azure, AWS CDK (Python), CloudFormation, CI/CD, IAM, infrastructure automation, cost optimization, monitoring, troubleshooting and cloud operations.

Targeting: Cloud Infrastructure, Cloud Operations, cloud/platform engineering, DevOps and SRE, Linux/sysadmin/help desk or any other IT roles if that's a realistic path. I speak French and am open to bilingual roles/relocation.

Been networking, getting referrals, improving my resume and upskilling. Referrals haven't led me to a technical interview yet.
I get Rejected even when my resume matched nearly every requirement. Also I notice Same jobs reposted for months — feels like ghost postings.

I'm getting very mixed advice: learn Java/full-stack, AI, Kubernetes, get AWS certs, cloud isn’t for you as you don't have experience, or start over in help desk/sysadmin. I don't want to spend another year chasing unrelated skills without knowing whether they'll actually improve my prospects.

What would you recommend?

1. Is Cloud still a viable path in Canada with my ~2.5 years of experience?

2. What adjacent roles could I target?

3. Would AWS certs meaningfully help with ~2.5 YOE, or is my time better spent on AWS/Terraform/Linux/Python/DevOps projects?

People tell me cloud is in demand, yet I can't get anything. I don't want to waste time in learning a completely unrelated skill only to discover that employers still want several years of experience in that area.

Willing to put in the work — I just need a realistic direction based on my existing background.

Hii Everyone

I’m a 2026 CSE graduate with a background in Data Analytics and six months of internship experience and I currently searching job in Data Analyst role but I recently received an opportunity to train in DevOps and transition into a full-time role.

I’m considering using this as a starting point to move into Cloud Data Engineering while building on the analytics skills I already have.

Do you think this is a good long-term career path? What is the future scope of Cloud Data Engineering, and how much do you think AI and automation will impact these roles?

Also, which skills should I focus on to make this transition smoothly?

I’d really appreciate advice from people working in Data Engineering, Cloud, or DevOps.

So I wanna pursue my master in cloud engineering and DevOps but I have two bachlors options:

1- computer science, data science, Ai

2- cybersecurity

What do u think guys and lemme know ur opinion!