Multi-cloud deploy

Multi-cloud deploy at your fingertips.

Define your requirements once and run across AWS, Azure, and Google Cloud. Hyphen Deploy generates the infrastructure, DNS, SSL, and load balancing that used to take a platform team.

AWSAzureGoogle CloudAutomatic DNS & SSL
Define once, run onAWSAzureGoogle Cloud+ Cloudflare DNS
How it used to work

Multi-cloud used to be a years-long platform project.

Cloud providers have different services, conventions, and quirks. Mastering one is a challenge, let alone all three. That is why most teams never actually ran in more than one.

“Mastering one cloud is a job. Mastering three is a career.”

Each provider has its own IAM, networking, load balancers, registries, and naming. Teams that try to run all three end up with three platform specialties, with none of them shipping product.

“The Terraform only works on AWS.”

YAML, Dockerfiles, Helm charts, and Terraform are rewritten per cloud. What starts as “we might add GCP later” becomes a second infrastructure codebase nobody wants to own.

“Failover is a runbook, not a feature.”

DNS, SSL, health checks, and traffic shifting across clouds used to be their own project. Most teams never finish it, so “multi-cloud” means a backup region they hope they never have to use.

“We spent a quarter just wiring the network.”

Before the first production request, someone still has to stand up registries, buckets, certificates, firewalls, and credentials, then keep them in sync as people move between teams.

You do not need a specialist for every cloud. You need one set of requirements, and infrastructure that can run wherever your customers are.

Then and now

The work that used to take a platform team. Now it is the default.

Then

Multi-cloud meant duplicating everything you already hated about one cloud, then wiring it together by hand.

  • Separate Terraform, Helm, and Dockerfiles for every cloud
  • IAM, networking, and registries reinvented per provider
  • DNS, SSL, and traffic routing as a separate project
  • Failover that lives in a runbook someone has to remember
  • Preview environments that linger on the bill
  • Teams stay locked in because switching clouds means starting over

Now

Define the outcome once. Deploy generates the infrastructure and keeps traffic, certificates, and cleanup in one workflow.

  • One set of SLA, scale, and region requirements
  • Deploy generates provider-specific infrastructure for you
  • Automatic multi-cloud DNS, SSL, and load balancing with Cloudflare
  • Traffic routed across one cloud or many, from a single definition
  • Isolated previews that the Hyphen Agent cleans up when you are done
  • Add or change a cloud without rewriting the stack
How it works now

Connect. Define. Generate. Traffic finds the rest.

  1. 01

    Connect your clouds

    Connect AWS, Azure, or Google Cloud. Deploy works inside the accounts you already own.

  2. 02

    Define the outcome

    Set the availability target, traffic locations, and expected scale. That is the whole configuration: you never write infrastructure code per provider.

  3. 03

    Deploy generates everything

    It analyzes the repo, builds the container, and provisions registries, IAM, networking, and storage aligned with each cloud’s best practices.

  4. 04

    Traffic finds the healthy path

    DNS, SSL, and load balancing are configured automatically across regions and clouds, so failover is not a weekend project.

What you get

The benefits that used to require a platform org.

Everything between your repo and production is handled the same way on every cloud. Configure resilience without rewriting your infrastructure.

  • One definition, any cloud

    Write your requirements once. Run them on AWS, Azure, Google Cloud, or more than one at a time without a second platform team.

  • Automatic DNS and load balancing

    Records, certificates, firewall rules, and traffic routing are configured across providers with Cloudflare, so apps are reachable and encrypted on day one.

  • Freedom from vendor lock-in

    Resilience and negotiating power used to cost a rewrite. Now adding a second cloud is a target, not a migration program.

  • Repo to container, automatically

    Deploy scans the repository, generates the build, and pushes a hardened image to a registry on AWS, GCP, Azure, or Docker Hub.

  • Isolated deployment previews

    Every pull request gets real infrastructure that inherits production config, then disappears when the preview is deleted so you stop paying for it.

  • Object storage, connected

    Turn storage on and Deploy creates or adopts the bucket on S3, GCS, or Azure Blob, scopes access, and injects the connection into the app.

  • Intelligent cleanup

    Idle capacity and forgotten environments are identified and removed according to organization or project policies, instead of sitting on the bill.

  • Secure by default

    IAM, security groups, and policies stay current as people move between teams without anyone memorizing each cloud’s nomenclature.

Where it runs

Your cloud accounts. One deployment workflow.

Your cloud accounts

Amazon ECS, Azure Container Apps, or Google Cloud Run. Deploy provisions inside your accounts, with your billing and your controls.

Explore Deploy

One region or many

Start in a single region, then add global load balancing across clouds without re-architecting DNS, certificates, or the application.

Connect a cloud

Frequently Asked Questions

How do I deploy to more than one cloud without maintaining separate Terraform?

Hyphen Deploy uses AI to generate cloud infrastructure from your target SLA, scale, and traffic locations. You set those requirements once. Deploy translates them into production-ready infrastructure on AWS, Azure, Google Cloud, or more than one at a time. No YAML, Dockerfiles, Terraform, or Helm charts per provider.

How does multi-cloud DNS and load balancing work without a networking project?

Deploy automatically configures DNS, SSL certificates, firewall rules, and traffic routing across one or many cloud providers using Cloudflare. Scale from a single region to multi-region with global load balancing without reconfiguring the application. Failover stops being a runbook and becomes part of the deployment.

Why was multi-cloud so hard before, and what actually changes with Hyphen?

Each cloud has different services, conventions, and quirks. Teams historically hired specialists, wrote provider-specific infrastructure code, and treated DNS, IAM, and load balancing as separate workstreams. Most never finished, which is why “multi-cloud” often meant a backup they hoped not to use. Hyphen collapses that into one workflow: connect the accounts, define the outcome, and Deploy generates and operates the rest.

Does running on multiple clouds lock me into Hyphen?

No. Deploy provisions inside the AWS, Azure, or Google Cloud accounts you already own, with your billing and your controls. You can inspect the infrastructure directly in the provider.

Can I start on one cloud and add another later?

Yes. Define requirements once and run across one or many clouds. Adding a provider is a deployment target, not a rewrite of IAM, networking, and DNS. That is the difference between multi-cloud as a strategy and multi-cloud as a years-long platform program.

How do I keep multi-cloud from multiplying idle resources and surprise spend?

Deploy identifies idle resources and unused capacity and cleans them up according to organization or project policies. Preview environments are ephemeral: when a preview is deleted, the Hyphen Agent tears down the associated infrastructure automatically. You are not paying for a second cloud’s forgotten test stacks.

Multi-cloud, without the ceremony.

Connect AWS, Azure, or Google Cloud. Then push. You get the build, the infrastructure, and traffic that can span providers, without doing any of it.