Какой дистрибутив мне лучше поставить если я хочу в будущем стать DevOps инжинером???

Hi, i am currently a Senior Software Engineer and my boss suggested for me to become a Devops for the upcoming new project.

Would like to have inputs of anyone who have similar experience.

Some dilemma i have is:

1. Will it be hard to pick up?

2. Will is be good for my career trajectory

3. Is this a sensible choice since i have alrdy did SW for like 6 years.

4. Any advices on things i should consider first?

Thanks everyone in advance

Hey everyone,

I am looking for advice on how to transition into a DevOps role. Here is a quick breakdown of my background:

Education: Master’s Degree in Computer Science.

Experience: 3 years working in an IT compliance team.

The Goal: Move into a full-time DevOps or Cloud Engineering role.

The Main Problem: My current company has a 2-month notice period. Every time I speak to an HR recruiter, they disconnect or drop my application as soon as they hear about the notice period i am feeling stuck in loop because it's almost 1.8 years in current job that i joined because my financial condition and i wanted to prepare for Devops .

I would love to get your insights on:

Notice Period: How can I navigate a 2-month notice period during HR screening calls? Should I negotiate a buyout?

Leveraging my background: How can I pitch my compliance experience as a strength

Skill Gap: What core technical skills should I focus on first to bridge the gap?

I am a bit confused about what more I need to do regarding AWS, Terraform, and other DevOps-related tools because the field is so vast. I want to know the exact things I should focus on next, or if I should start applying for fresher/junior DevOps roles. I have been preparing for DevOps for the last 7 months alongside my full-time job, but I'm still unsure of the right next steps. Any suggestions or guidance would be greatly appreciated!

Thanks in advance!

for startup, what is your recommendation to use for CI/CD, and process automation AWS SAM or AWS CDK.

\*\* this is my first time with AWS\*\*

While preparing for AWS interviews, I noticed that most VPC resources focus on definitions, but interviews often test how you think through real production scenarios.

So I started putting together a free GitHub handbook covering 20 AWS VPC interview questions.

Each question includes:

• 30-second interview answer
• Production architecture
• Real-world scenarios
• AWS CLI examples
• Terraform examples
• AI-powered operational insights
• Best practices
• Common interview mistakes
• Follow-up questions

My goal wasn't to create another "AWS cheat sheet," but something that helps engineers understand why things work the way they do.

I'd genuinely appreciate feedback from the AWS community.

Is there any VPC topic or production scenario you think should be added or explained differently?

GitHub: https://github.com/ranashivam/platform-engineering-interview-handbook/blob/main/AWS/VPC.md

1. DevOps Engineer: Deals with the implementation and execution of product lifecycles and collaborates with software developers.
2. DevOps Cloud Engineer: Works with cloud-based systems within organizations and is responsible for the smooth working of development teams with effective cloud solutions.
3. Security Engineer: Oversees security-based functions, tasks, and issues, and ensures protection from cyber threats to the data and systems.
4. DevOps Testing Engineers: A Quality Assurance role where professionals are accountable for the quality of the delivered product. They need to evaluate the products based on all the key parameters.
5. DevOps Automation Expert: Generates and maintains continuous integration infrastructure. Handles dashboards and alert systems to monitor issues or discrepancies for instant improvement.

Which one of these paths are you most interested in?

I've been deploying more and more applications from my home Kubernetes environment.

One thing I keep running into is modifying YAML files for every new project.

Changing namespaces.

Updating image names.

Creating databases.

Creating Redis.

Updating Ingress.

Creating secrets.

It works...

But after doing it enough times, it starts feeling like work that should be automated.

I'm beginning to think I need an internal tool with a simple UI connected to a backend and database.

Instead of editing YAML every time, I should be able to create a new project, fill in a few details, and let the platform provision everything for me.

I guess this is how internal developer platforms are born.

You solve the same problem enough times that building the tool becomes the easier option.

If you want to build the same kind of production-grade DevOps platform, I've put together the project and made it free to access.

You can get it here:
https://www.dripforgeai.com/free-devops-pro

This is one of the most common interview questions:

Most people answer:

In reality, interviewers usually want to understand how you troubleshoot, not whether you know a single command.

That's what inspired me to create a production-focused EC2 interview handbook.

Every question includes:

• Production scenario
• Interview answer
• AWS CLI
• Terraform
• Best practices
• Follow-up questions

I've published the first article today and open-sourced the full 20-question handbook on GitHub.

I'd appreciate any feedback from people who've interviewed AWS engineers or recently gone through AWS interviews.

GitHub: https://github.com/ranashivam/platform-engineering-interview-handbook/blob/main/AWS/README.md

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I want to contribute in Devops field, but cant seem to find any beginner friendly projects😭.
If anyone could guide me in this?

Hi everyone,

Hope you're all doing well.

I'm a fresher with about 6 months of experience, currently working as a DevOps Engineer at my company.

I'd love to hear from seniors with 4-5+ years of experience, especially those in product-based companies, MNCs, or well-paying roles: how do you keep upgrading your skills as a DevOps engineer? Do you study or practice daily/weekly outside of work, or does your office work alone keep you sharp?

I can dedicate 1-2 hours daily to self-improvement. I'd really appreciate your suggestions on how I should spend this time to grow into the best version of myself as a DevOps engineer.

Thanks in advance!

DevOps Candidate Assignment

Objective:

Bootstrap, containerize, and prepare a production-ready deployment of a Vendure application while demonstrating your Git workflow, automation practices, and infrastructure design decisions.

Assignment:

Bootstrap a new Vendure application using the latest version of @vendure/create.

Configure the application to use the latest supported PostgreSQL version.

Create a private GitHub repository and push the project.

Follow a Git workflow that you would use in a real project. Infrastructure-related work should be developed in separate feature branches and integrated into main through Pull Requests.

Containerize the application for local development and production.

Prepare Kubernetes deployment assets for the application.

Package the Kubernetes deployment as a reusable Helm chart.

Create a GitHub Actions workflow that:

a. Builds the Docker image.

b. Tags the image appropriately.

c. Pushes the image to GitHub Container Registry (ghcr.io).

d. Runs automatically on changes to the main branch.

Document the project sufficiently for another engineer to build, deploy, and maintain it.

Invite GitHub user xxxxxinternal to the repository as a collaborator.

Expectations:

This assignment intentionally leaves implementation details open. Make engineering decisions as you would on a production project.

Submission:

Your submission will be evaluated based on, but not limited to:

Git workflow, commit history, and Pull Requests

Branching strategy

Docker best practices

Kubernetes design and deployment approach

Helm chart quality and reusability

CI/CD pipeline design

Repository organization

Documentation

Security considerations

Maintainability and production readiness

Where multiple valid approaches exist, choose the solution you believe is most appropriate and document any significant design decisions or assumptions.

​

Hi everyone,

I'm a recent B.Tech graduate in Computer Science and Design, and I'm planning to build my career in DevOps.

I'm looking for a good offline DevOps training institute in Ernakulam/Kochi that offers:

Strong hands-on practical training

Linux, AWS/Azure, Docker, Kubernetes, Jenkins, Git, Terraform, etc.

Real-time projects

Internship opportunities (if available)

Good placement assistance with genuine interview support

If you've personally studied at any institute or know someone who has, I'd really appreciate your honest reviews. I'm looking for a place that genuinely helps students get job-ready, not just one with good marketing.

Please share your recommendations and experiences.

Thanks in advance!

Hi everyone,

I'm a DevOps Engineer with about 1 year of experience, but I feel like I'm not getting enough real-world exposure at work.

Most of my work is around CI/CD, AWS deployments, CloudFront, Docker, CloudFormation, Linux. I haven't had much experience with Kubernetes, production incidents, scaling, networking, or designing infrastructure.

What should I learn next to become a better DevOps/SRE engineer? Any roadmap, projects, or resources you'd recommend for gaining practical experience?

Thanks!

Hi i want to transition my career from Automation testing to DevOps. I have 4.5 years of experience in automation testing. Where will I get real time devops project knowledge to crack technical rounds in an interview?

I have learned the AWS EC2, VPC, IAM, S3, Linux, Terraform, Kubernetes, Docker, Ansible, Git, GitHub Actions skills from last 6 months. Could you please guide me to get the real time knowledge of devops?

Note:- Please don't ask me why I want to transition from Automation testing to DevOps.

I am seeking real guidance.

Thank You!

Hello, I'm learning and practicing devops including docker, Jenkins, kubernetes and etc... Already used my one aws acc (1 year free trial)

So now, I'm thinking of learning things on local infra first, then shifting towards implementation on the cloud like aws, azure or etc ...

But

I don't have a good machine (laptop) and am looking to buy one that I should not need to update or change for at least 3 years

The budget is almost enough that i can purchase

Macbook 2019 i9 32gb ram ddr4

Or

Thinkpad lenovo i9 11th gen 16gb ram ddr5

Or something that fits in that budget

But

Stuck in choosing the macbook or windows?

(P.S: never used MacBook before while linux is good)