Almost everyone learning DevOps in Pune hits the same fork: should I go deep on AWS or on Azure? Job listings ask for both, friends give conflicting advice, and nobody has time to master two clouds at once.
The short answer: if you have no strong reason either way, start with AWS. It is the cloud you will meet most often in DevOps job descriptions and in tutorials. Choose Azure first if you already work in a Microsoft-heavy company, if your target employers run on .NET, Windows and Active Directory, or if your current project is moving to Azure. Either way, the skills transfer: once you know one cloud well, learning the second takes weeks, not months.
Why the choice matters less than you think
DevOps engineers do not spend their day clicking around a cloud console. They write pipelines, Terraform, Dockerfiles and Kubernetes manifests, and those look almost the same whichever cloud sits underneath. The concepts are shared too: virtual machines, private networks, identity and access, object storage, managed Kubernetes, load balancers and monitoring. Interviewers in Pune care more that you understand why a VPC has public and private subnets than which logo is on the screen.
Here is how the main building blocks line up:
| What you need | AWS | Azure |
|---|---|---|
| Virtual machines | EC2 | Virtual Machines |
| Private network | VPC | Virtual Network (VNet) |
| Identity and access | IAM | Microsoft Entra ID and RBAC |
| Object storage | S3 | Blob Storage |
| Managed Kubernetes | EKS | AKS |
| CI/CD service | CodePipeline and CodeBuild | Azure Pipelines (Azure DevOps) |
| Native infrastructure as code | CloudFormation | ARM templates and Bicep |
| Monitoring | CloudWatch | Azure Monitor |
In practice many teams use Terraform instead of CloudFormation or Bicep, and Jenkins or GitHub Actions instead of the native CI/CD service, which makes the two clouds feel even closer.
When AWS is the better first cloud
- You are a fresher or career switcher with no company stack to match. AWS gives you the widest range of openings and the most learning material.
- You are targeting startups and product companies, many of which grew up on AWS.
- You want plenty of practice material. Most open-source tutorials, Terraform examples and blog walkthroughs assume AWS.
When Azure is the better first cloud
- Your employer already uses it. Learning the cloud your team runs on is the fastest route to real production experience, and an internal move is often easier than a new job.
- You come from a Windows or .NET background. Active Directory, PowerShell and Visual Studio experience carry straight over.
- You are aiming at large enterprises with existing Microsoft agreements, where Azure is often the default choice for new projects.
A quick, practical test: search a job portal for “DevOps engineer Pune” and read twenty listings for the kind of company you want to join. Count how many name AWS, how many name Azure and how many accept either. That tally is a better guide than any blog post, including this one.
Certifications that fit a DevOps path
Certificates help you get past resume filters, but they do not replace projects. If you want one, these are the usual routes:
- AWS: AWS Certified Solutions Architect – Associate is a common first step, followed later by AWS Certified DevOps Engineer – Professional once you have hands-on experience.
- Azure: Azure Administrator Associate (AZ-104) builds the foundation, and Azure DevOps Engineer Expert (AZ-400) is the DevOps-specific certification.
Exam codes, prices and content change from time to time, so check the current details on the AWS and Microsoft certification sites before you book. If you are leaning towards containers, a Kubernetes certification is equally valuable on both clouds; our CKA vs CKAD guide explains which to take first.
A sensible order of learning
- Learn Linux, networking, Git and one CI tool before touching any cloud.
- Pick one cloud and learn identity, networking, compute, storage and managed Kubernetes properly.
- Build your projects with Terraform so the code, not the console, is your evidence.
- Once you are comfortable, rebuild one project on the second cloud. It is the quickest way to show interviewers you can work with both.
Watch your bill while you practise. Set a budget alert on day one, use the smallest instance sizes, and destroy lab resources when you finish. Forgotten load balancers and NAT gateways are the usual culprits behind surprise charges.
How our course handles the AWS or Azure question
You do not have to bet on one. Our DevOps training in Pune covers core AWS and Azure DevOps services in the fourth month, after Linux, CI/CD, Docker, Kubernetes, Terraform and Ansible, and every student works in a dedicated AWS and Azure sandbox. The same course is available live through our DevOps online training. If you are weighing a pure cloud course against DevOps, our guide to choosing a cloud course in Pune compares the two, and our look at where DevOps is heading in 2026 covers the wider trends. Batches are always open; message us on WhatsApp for fees and timings.
Frequently asked questions
Is AWS or Azure better for DevOps jobs in Pune?
Both are in demand. AWS is the safer default for freshers and for startups and product companies; Azure is a strong choice if you work in, or are targeting, Microsoft-heavy enterprises. Check current listings for the employers you want.
Should I learn both AWS and Azure?
Eventually, yes, at least at a basic level. Start with one and go deep; add the second once you can build and troubleshoot a full project on the first.
Is Google Cloud worth learning for DevOps?
It is used by some product companies and data teams, but it appears less often in DevOps listings than AWS or Azure. Treat it as a third cloud to learn when a job needs it.
Do I need a cloud certification to get a DevOps job?
No, but it helps with resume screening, especially for freshers. Two or three solid projects on GitHub matter more in the interview itself.
