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Gateways gives cloud teams a visual canvas to deploy and manage AWS, Azure, and GCP resources inside their own accounts.
Grounded in available product and source data
Juggling separate consoles for AWS, Azure, and GCP is the exact friction this visual multi-cloud deployment workspace is built to remove — Gateways puts infrastructure design on one canvas, then deploys the result into whichever of a team's own cloud accounts it's meant for.
The canvas itself covers a wide resource surface: servers and autoscaling servers, managed databases, cache servers, storage buckets, static websites, CDNs, DNS records, firewalls, load balancers, and serverless functions, all mapped and managed visually rather than through provider-specific dashboards. An activity feed filterable by resource type, action, and environment keeps track of what changed and where, while environments stay organized into dev, test, and prod rather than blending together.
On the deployment side, Gateways supports current runtimes — Node.js 18, 20, and 22, Python 3.11, Go 1.21, Java 11, 17, and 21, and .NET 6 — with a choice of Git, Docker, ZIP, CLI, or IDE-based deployment, plus Git provider integration for GitHub, GitLab, and Bitbucket. A built-in browser IDE and terminal keep some of that workflow inside the platform itself rather than requiring a separate local setup. Notably, the site states no Kubernetes cluster, Terraform state, or proprietary runtime is required, positioning it as an alternative to those heavier infrastructure-as-code approaches rather than a wrapper around them.
On pricing, a free plan covers one project, one environment, and five resources, while paid plans raise the limits on projects, environments, resources, cloud connections, and workspace members, billed monthly or yearly — though the reviewed page doesn't state exact dollar figures for those paid tiers.
Into your own account — Gateways deploys and operates resources inside a user's own AWS, Azure, or Google Cloud account rather than hosting infrastructure on Gateways' own servers.
A replacement for the specific workflow it covers — the visual canvas handles deployment and management without needing Terraform state or a Kubernetes cluster at all, rather than generating Terraform config behind the scenes.
Yes — paid plans raise the caps on projects, environments, resources, cloud connections, and workspace members, billed monthly or yearly, so growth stays within the same platform rather than requiring a migration.
Several ways — Git, Docker, ZIP upload, CLI, or the built-in browser IDE, with Git provider integration for GitHub, GitLab, and Bitbucket.
AWS, Azure, and Google Cloud, all managed from the same visual workspace rather than requiring separate provider-specific consoles.
