Pricing Comparison (2026)
| Service | AWS | Azure |
|---|
| CI/CD pipeline minutes | CodeBuild: $0.005/build-minute (Linux) | Azure Pipelines: 1,800 free mins/month, then $15/parallel job/month |
| Artifact storage | S3: $0.023/GB/month | Azure Artifacts: free 2 GB, then $2/GB |
| Boards / project tracking | Use Jira ($7.16/user/mo) or GitHub Issues (free) | Free for first 5 users, then $6/user/mo |
| Self-hosted agent | Free (you run EC2) | Free (you run VM) |
| Free tier | 12-month + always-free services | $200 credit for 30 days + 12-month free |
For a small team (5 devs, 1,000 build mins/month): AWS ≈ $30-50/month in pure CI costs. Azure DevOps Services (basic plan) is $30/month for up to 5 users with unlimited build minutes. Azure is cheaper for small teams thanks to the free basic plan; AWS is cheaper at scale with per-second pricing.
AWS CodePipeline vs Azure Pipelines — YAML Pipeline Example
# AWS CodePipeline (via CodeBuild buildspec.yml)
version: 0.2
phases:
install: { runtime-versions: { java: corretto17 } commands: ['mvn -q clean'] }
build: { commands: ['mvn -q test', 'mvn -q package -DskipTests'] }
post_build: { commands: ['aws deploy push --application-name myapp --s3-location s3://artifacts/myapp.zip'] }
artifacts: files: ['target/*.jar']
# Azure Pipelines (azure-pipelines.yml)
trigger: [main]
pool: { vmImage: 'ubuntu-latest' }
steps:
- task: Maven@4
inputs: { mavenPomFile: 'pom.xml', goals: 'clean package' }
- task: CopyFiles@2
inputs: { SourceFolder: 'target', Contents: '*.jar', TargetFolder: '$(Build.ArtifactStagingDirectory)' }
- task: PublishBuildArtifacts@1
Both use YAML, both integrate with GitHub, both support matrix builds and parallel jobs. The DX is a wash — pick based on your cloud.
The Third Path: GitHub Actions
In 2026, many teams are cloud-agnostic and use GitHub Actions for CI/CD regardless of whether they deploy to AWS, Azure, or GCP. GitHub Actions has native OIDC integration with both clouds, a marketplace of 20,000+ actions, and runners that auto-scale. If you're starting greenfield, consider:
- Source: GitHub
- CI/CD: GitHub Actions
- IaC: Terraform (cloud-agnostic)
- Secrets: GitHub Actions secrets + cloud-native (AWS Secrets Manager / Azure Key Vault)
- Monitoring: Datadog / Grafana Cloud (multi-cloud)
Migration: AWS to Azure (or vice versa)
Migrating between clouds is non-trivial. The IaC layer (Terraform) is portable; the managed services are not. AWS Lambda functions don't run on Azure Functions without code changes. RDS for PostgreSQL doesn't auto-migrate to Azure Database for PostgreSQL. Plan for:
- Assess — inventory of services, data volumes, dependencies
- Pilot — migrate one non-critical workload first
- Data migration — AWS Database Migration Service / Azure Database Migration Service
- Identity — federate IAM ↔ Entra ID via SAML/OIDC
- Networking — site-to-site VPN or ExpressRoute / ExpressRoute
- Cutover — DNS TTL to 300s, blue-green deploy, rollback plan
Career Paths
- AWS DevOps Engineer — 18-30 LPA in India; most in-demand certification is AWS Solutions Architect + DevOps Professional
- Azure DevOps Engineer — 15-28 LPA; cert path is AZ-104 + AZ-400 (Azure DevOps Engineer Expert)
- Multi-cloud — Terraform + GitHub Actions skills command 25-40% premium
FAQ
Which is better for DevOps, AWS or Azure?
For pure toolchain: Azure DevOps is more integrated (Boards + Repos + Pipelines in one product). For service breadth and ecosystem: AWS wins. For most teams, the decision is dictated by where the data already lives.
Is Azure DevOps being replaced by GitHub?
Microsoft is steering customers to GitHub for source control and CI/CD, but Azure Boards and Azure Artifacts continue to use. Azure Pipelines remains fully supported but GitHub Actions has overtaken it in adoption since 2022.
What is AWS DevOps called now?
AWS DevOps is a marketing umbrella, not a single product. The core services are CodePipeline (orchestration), CodeBuild (build), CodeDeploy (deploy), and CloudFormation/CDK (IaC). CodeCommit was retired in 2024 in favour of GitHub.
Should I learn AWS or Azure DevOps first?
For maximum job openings in India: AWS. For enterprise + Microsoft shops: Azure. For maximum flexibility: learn both, plus Terraform and Kubernetes. Tutorsbot's AWS DevOps training and Azure DevOps training cover both paths with placement support.
Fazlur Rahman
