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- No allegiance to a single cloud, vendor, or region
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- Operates as a trusted, independent layer for alt clouds, incumbents, and
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digital-first enterprises
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### Bring your own infra
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- Use Datum’s cloud control plane along with its global network and distributed
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compute
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- Or run components in your own cloud or infra (e.g., GCP, AWS, NetActuate,
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Vultr, etc.)
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### Maximum flexibility
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- Feed full telemetry to your preferred tools (Grafana Cloud, Honeycomb,
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Datadog, etc.)
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- Support for policy enforcement via SRv6
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- Operates as a trusted, independent layer for alt clouds, incumbents, and digital-first enterprises
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- Feed full telemetry to your preferred tools (Grafana Cloud, etc)
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---
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## Some of our favorite features
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## Key features
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### Declarative management
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Datum works just like Kubernetes, because it *is* Kubernetes. Define your desired infrastructure state and our components reconcile the living system to match. No more syncing or drift.
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Our most important feature isn't a "what" but a "how". Datum works just like Kubernetes, because it *is* Kubernetes. Define your desired infrastructure state and our components reconcile the living system to match. No more syncing or drift.
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The Datum control plane is natively compatible with tooling from the Kubernetes
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ecosystem. Datum APIs are defined as [Custom Resources][k8s-custom-resources],
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and resources are managed by operators which can be deployed into any Kubernetes
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cluster.
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Use the tools you're familiar with - `kubectl` for interacting with API
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resources via the CLI, `kustomize` or `terraform` for configuration management,
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or any other tool compatible with the Kubernetes API.
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Use the tools you're familiar with, but especially `datumctl` for interacting with API
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resources via the CLI. Read more [about datumctl here](https://www.datum.net/docs/datumctl/overview).
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### AI Edge
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An Envoy-based edge that provides an intelligent HTTPProxy along with a Coraza-based Web Application Firewall (WAF) to protect and route internet traffic to backend services. We support HTTP(S) 1.1, HTTP2, gRPC, and WebSockets.
Internet backbones weren't designed for most humans, let alone agents. Our Galactic VPC feature is built for an agentic world to provide policy-driven SRv6 virtual backbones that go anywhere.
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### Workloads
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### UFOs
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The `Workload` resource provides a provider-agnostic way to manage groups of
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compute instances (VMs or containers). Define instance templates, placement
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rules (where instances should run across locations/providers), scaling behavior,
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network attachments, and volume mounts. The responsible infrastructure provider
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operator handles the provisioning.
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We've partnered with Unikraft to build out a modern edge compute layer that is ideal for agentic and network use cases. "Unikernel Function Offloads" provide 100% isolation, millisecond cold starts, and scale to zero snapshotting.
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### Gateways
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### Connectors
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Leveraging the standard Kubernetes Gateway API (`GatewayClass`,
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`Gateway`,`HTTPRoute`, etc.), Datum allows you to define how external or
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internal traffic should connect to your services. Manage TLS certificates,
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configure routing logic, and control network ingress/egress across the
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Datum infrastructure.
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We plan to support all kinds of connections, from developer-focused (e.g. Tailscale Tailnets, Wireguard VPNs) to low level L2/L3 telco (AWS Direct Connect, Equinix Fabric, Megaport Onramps, etc). We've started with QUIC-based tunnels powered by the [Iroh protocol](https://www.iroh.computer/).
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### Essentials
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We support a growing collection of features that help make agentic and internet scale applications "go". While these may not be the star of any show, they are necessary ingredients.
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- Authoritative DNS
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- Domain resource tracking
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- Fine grained roles and permissions
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- Secrets & service accounts
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- Activity logs
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## Components
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@@ -125,37 +116,21 @@ infrastructure providers. See the [Workloads
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