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Multi-cloud single pane of glass

Golden paths and guardrails are only as good as their coverage. If they only reach one cloud, the gaps in every other environment keep the too-slow / too-loose tension alive.

When resources span more than one environment​

Many large-scale organizations are spread across multiple cloud providers and resource hostings: AWS, GCP, Azure, private cloud, and on-prem. That spread makes the "how-to" challenge even more complex, for developers and platform teams alike, since every additional environment is another place a golden path needs to reach.

Port acts as the single pane of glass layer that serves developer needs while encapsulating the complexity of the multi-cloud estate underneath.

One data model across every cloud​

Port's blueprints normalize each provider's resource kinds into a common shape. The AWS integration ships a blueprint per resource kind (EC2 instances, S3 buckets, RDS instances, and more), and the GCP integration goes a step further with a generalized cloud resource blueprint that multiple GCP resource kinds map into, a concrete example of normalizing many resource kinds into one shape. The Kubernetes integration does the same for clusters, nodes, namespaces, and workloads.

Relations tie every instance back to its account, project, or cluster, regardless of which provider it came from. A resource from AWS and its equivalent from GCP or Azure end up modeled the same way in the catalog.

Reaching on-prem and private cloud​

Port doesn't require a dedicated integration for every private system you run. Webhook ingestion and the custom integration framework let you push inventory from any internal system, CMDB, or bare-metal fleet manager into the same blueprint model as your cloud resources. Any inventory you can describe becomes catalog data, modeled and governed alongside everything else.

One governance layer​

Search and query work uniformly across every integration. A single dashboard can show compute across EC2, GCP Compute Engine, Azure VMs, and on-prem side by side, and a single scorecard rule can apply the same golden-path-compliance check across every cloud's version of a resource type. Platform teams don't maintain a separate governance layer per cloud.

The request looks the same everywhere​

This unification carries through to golden paths themselves. A developer or agent asking for "a bucket for this service" doesn't need to know or care which cloud ends up hosting it. The workflow behind the golden path branches to the right IaC module based on policy, team, region, or cost, but the request, the guardrails, and the audit trail stay identical regardless of where the resource lands.

Next steps​

  • Governance at scale - see how golden paths hold up as the number of teams and resources grows.
  • Common use cases - browse a catalog of golden paths that deliver value across our customers.