Everyone else
“Tell us the infrastructure you want, and we’ll deploy it.”
You still have to know the architecture, choose the services, and decide how production should be wired.
Connect your repo.We figure out the infrastructure.
We read your code, find everything your app runs locally — databases, caches, services — and recreate it as fully managed infrastructure in your own cloud.
The difference
Other tools deploy what you tell them.
Vylara reads your code and tells you.
Vylara
“Connect your repo, and we’ll detect what it needs.”
your codea proposed production layoutreviewed by you
Flow
From your codeto live infrastructure
Vylara handles the infrastructure work, but every important change passes through your approval and your Git workflow before it reaches your cloud.
- 01 / 06
Vylara reads your code
Vylara reads your code and maps each service it finds to a managed cloud resource.
Detected
acme/storefrontmain
VylaraDetectingDetected in your codeweb0.5 vCPU · 1 GBworker0.25 vCPU · 512 MBPostgres→RDS2 vCPU · 4 GBRedis→ElastiCache1 vCPU · 2 GB - 02 / 06
You review and approve
Inspect the suggested infrastructure and approve it before anything is generated.
Pending approval
acme/storefrontmainYouApprovingApproved infrastructureApprovedweb0.5 vCPU · 1 GBworker0.25 vCPU · 512 MBPostgres→RDS2 vCPU · 4 GBRedis→ElastiCache1 vCPU · 2 GB - 03 / 06
Vylara opens a PR
Vylara generates config files and opens a pull request in your repository.
Opened
acme/storefrontmainVylaraOpening PRAdd infrastructure configOpenvylara/infra-setup → mainDockerfile+24docker-compose.yml+18deploy.yml+31 - 04 / 06
You merge the PR
Review the generated files and merge the pull request into your repo.
Merged
acme/storefrontmainYouMergingAdd infrastructure configMergedvylara/infra-setup → mainDockerfile+24docker-compose.yml+18deploy.yml+31 - 05 / 06
First deploy applies infra
First deploy applies your approved infrastructure in your own cloud account.
Applying
acme/storefrontmainVylaraDeployingProvisioning in your cloudAWS · us-east-1webcreatingworkercreatingPostgres→RDScreatingRedis→ElastiCachecreating - 06 / 06
Infrastructure is live
Your services run in your cloud while Vylara helps manage and fix them.
Live
acme/storefrontmainVylaraLiveAll systems live4 servicesweb0.5 vCPU · 1 GBworker0.25 vCPU · 512 MBRDS2 vCPU · 4 GBElastiCache1 vCPU · 2 GB
Why it's different
More than a deploy button
The flow above is how it works. These are the three things that make it Vylara.
It reads your code
Vylara reads your code and detects the resources it runs on — no questionnaire, no infra config to write yourself.
Dependencies, service boundaries, background jobs, storage, and data flow.
It runs in your cloud, not ours
Everything lives in your own AWS or Azure account. Your bill, your data residency, full control.
Credentials are revocable anytime.
An agent for after launch
When something breaks, chat with an agent that already sees your logs, metrics, and deploys — and proposes fixes you approve with one click.
Operations don't stop at the first deploy.
Why Vylara
When fast hosting stops being enough
For teams that need cost visibility, compliance, or architecture inside their own subscription—not a framework rewrite and not a six-month platform project.
01For lean teams
Built for small teams without a DevOps bench
You keep shipping product. Vylara proposes production-shaped layouts and delivery wiring grounded in your repository.
- Stay on the languages and build pipelines you already chose
- No vendor-specific rewrite or framework lock-in
- Production-shaped defaults from day one
app.vylara.ai
02Plan and price first
See the plan and the price before anything runs
Vylara shows the recommended setup and estimated monthly cost in the app, then keeps generated changes reviewable in Git.
- Understand the cloud plan, managed services, and monthly cost before anything changes
- Review generated Docker, CI, and environment changes in the same Git workflow your team already uses
- Keep infrastructure changes approval-gated without adding Terraform chores to your repo
app.vylara.ai/analyze
03Infra-aware debugging
Debug production issues with real context
Vylara chat can investigate the project you are looking at: logs, deploys, configs, networking, secrets, costs, and cloud signals stay in the same thread.
- Ask why a service is failing and get answers grounded in runtime evidence
- Pull logs, costs, deploy history, and cloud context without jumping consoles
- Turn findings into approval-gated fixes your team can review before anything changes
app.vylara.ai/chat
Compare
How Vylara is different
Everyone detects your language. Only Vylara reads your code to infer the infrastructure — then runs it in your own account, with your approvals.
Vylara
Your account, your approvals
Typical PaaS
Their runtime, fast first deploy
| Vylara | PaaS | |
|---|---|---|
| Reads your code to infer the infrastructure | ||
| Maps how your services connect | ||
| Workloads in your own cloud account | ||
| Config changes as Git PRs you approve | ||
| Agent to debug & fix after launch |
Full platform matrixShow / hide
Pricing
Your cloud bill stays with your provider
You pay us for orchestration and AI-assisted workflows. Workloads run in your cloud account—that usage bill stays with your provider, not with us.
No credit card required Developer
$0/mo
One project, production only. Docker-based deploy path.
- 2 AI credits
- 2 analyze runs per billing cycle
- 1 project
- Cross-provider migration
- Scaling & sizing tools
- Kubernetes deployments
- Multiple environments
Team
$65/mo
Up to 3 projects. Full feature set below.
- 10 AI credits
- 15 analyze runs per billing cycle
- Up to 3 projects
- Cross-provider migration
- Scaling & sizing tools
- Kubernetes deployments
- Multiple environments
Enterprise
Custom
Unlimited projects (by agreement). All tier features at higher limits.
- 1,000+ AI credits / mo (custom)
- Unlimited analyze runs
- Custom project & usage limits
- Chat, migration, scale, Kubernetes & multi-env
- Security reviews & procurement
- Dedicated contact
Reviews wanted
Your testimonial goes here
“This card is reserved for the first engineer who points Vylara at their own AWS or Azure account and lives to tell the tale. If that's you, we'd love the story—kind words, sharp critiques, weekend-saved anecdotes, all welcome.”
“We could have invented a Sarah at a fake startup and stuck a stock photo on her. We'd rather leave the seat open for a real take—what worked, what didn't, what you wish the PR had explained better.”
“Honest roasts very welcome. If a proposed PR was wrong, weird, or just not what you'd ship, tell us—those are the reviews that actually move the product, and the ones we'll quote first when this section fills up.”