Deploy to AWS and Azure without a DevOps team
Deploying production applications to your own cloud no longer requires a dedicated DevOps engineer. With AI agents grounded in your repository, a 3 to 10 person team can reach a production-grade layout — VPC, container runtime, CI/CD, secrets, logging — with delivery config in Git pull requests, infrastructure approved in Vylara, and a first deploy in your account, not months of manual platform work.
Why teams skip the DevOps hire
A senior DevOps engineer is one of the most expensive hires a startup makes, and the role is hard to justify before product-market fit. At the same time, the cost of not deploying properly compounds: ad-hoc scp deploys, secrets in .env files, no CI gating, and no path to compliance.
The shift in 2026 is that AI deployment platforms can encode the patterns a senior DevOps engineer would set up — and propose them as reviewable changes rather than opaque magic.
What “production-grade without a DevOps team” actually means
A working baseline for a small SaaS team in 2026 looks like:
- A VPC with private subnets and a container runtime (ECS on EC2, EKS when warranted, or Azure Container Apps)
- Managed Postgres (RDS, Aurora Serverless, or Azure Database for PostgreSQL)
- Secrets in AWS Secrets Manager or Azure Key Vault, never in Git
- CI that builds the container, runs tests, and pushes to ECR/ACR
- CD that rolls out via blue/green or canary on merge to
main - Centralized logs and metrics (CloudWatch, Azure Monitor)
Vylara maps this stack from your repo: delivery config ships as Git pull requests, and the cloud layout is reviewed in Vylara and provisioned on first deploy—not a generic template.
How the workflow looks day-to-day
- Connect your Git provider and your AWS or Azure account.
- The Vylara agent reads your repo, infers services, and opens a PR with Docker, CI, and deployment config.
- You review the PR like any other change, request edits in plain English if needed, and merge.
- You approve a deploy. Vylara provisions your cloud in your account. The bill goes to your provider.
- Subsequent app changes deploy through the CI/CD that was set up in step 2.
Where Vylara fits between PaaS and a DevOps hire
| Approach | Time to first deploy | Owns infra | Fits compliance |
|---|---|---|---|
| PaaS (Vercel, Render, Heroku) | Minutes | Vendor | Often no |
| Hire a DevOps engineer | Weeks to months | You | Yes |
| Vylara | Same day | You | Yes |
Connect a repo, review your cloud plan in Vylara, merge delivery changes as Git PRs, and deploy into your own AWS or Azure account when you’re ready.
Start freeFrequently asked questions
- Can a small team really deploy to AWS without a DevOps engineer?
- Yes. The hard parts of cloud deployment — VPC design, IAM, container orchestration, CI/CD wiring — are now well-trodden patterns. Vylara encodes those patterns: Docker, CI, and deployment config show up as Git pull requests your team reviews, and your AWS or Azure environment is provisioned when you run your first deploy.
- What does Vylara do that PaaS providers don't?
- PaaS gives you speed but inside someone else's account. Vylara gives you the same guided path while keeping workloads in your own AWS or Azure subscription, with reviewable Git history and delivery config you own in your repo.
- Do I need infrastructure-as-code expertise?
- No. Docker, CI, and deployment changes use the pull request workflow you already know. Cloud infrastructure is reviewed in Vylara and provisioned when you approve a deploy. You can also adjust resources directly in AWS or Azure if you prefer.
- What if something goes wrong in production?
- Delivery changes go through Git. Infrastructure updates are approved in Vylara or managed in your cloud console. Cloud-native logging and observability (CloudWatch, Azure Monitor) are wired in by default.