> For the complete documentation index, see [llms.txt](https://doc.datagram.network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://doc.datagram.network/documentation/whitepaper/3.-datagram-architecture/3.2.-datagram-core-substrate-dcs-the-connectivity-layer.md).

# 3.2. Datagram Core Substrate DCS: The Connectivity Layer

The Datagram Core Substrate DCS is the foundational layer that powers Datagram’s Connectivity Layer,&#x20;enabling seamless, decentralized coordination of compute, bandwidth, and storage resources. By functioning as&#x20;a network of networks, DCS provides the infrastructure for any DePIN project to launch and scale without the&#x20;need to build a custom network from scratch.

At its core, DCS is integrated with the Datagram Network Operations Center (NOC), which serves as the uptime&#x20;tracking and node statistics system for the network. The NOC continuously monitors the health and performance&#x20;of Datagram Cores, ensuring that uptime, availability, and resource utilization are accurately measured. This&#x20;real-time tracking enables automated reward distribution based on node performance and ensures that Full and&#x20;Partner Core operators meet network reliability standards.

DCS follows a modular, containerized architecture, allowing developers to deploy workloads in a dockerized&#x20;environment that runs in parallel with the network’s core operations. This flexible framework supports&#x20;deployment across multiple major EVM and non-EVM networks, such as Solana, Avalanche, and Base, with all&#x20;traffic automatically routed and balanced based on real-time demand. The NOC provides operators with crucial&#x20;insights into their infrastructure’s performance, allowing them to optimize their nodes for better rewards and&#x20;efficiency.

A wide variety of high-performance applications, including AI-powered cloud compute and real-time&#x20;Communication tools can operate as self-contained ecosystems while remaining interoperable with all other\
projects. For example, a company can leverage Datagram to deploy a decentralized streaming service with DCS dynamically distributing workloads, while the NOC ensures uptime tracking and performance verification.

DCS is blockchain-agnostic, meaning projects can deploy on any L1 or L2 network while still benefiting from&#x20;Datagram’s infrastructure. While Avalanche currently serves as the base layer for tracking network activity and&#x20;reward distribution, the core substrate itself is not restricted to any single blockchain. Projects built on Ethereum,\
Solana or other networks can leverage Datagram’s infrastructure to scale their DePIN initiatives while maintaining&#x20;seamless interoperability.

One of the most critical aspects of DCS is that it abstracts away the complexities of decentralized infrastructure,&#x20;allowing developers to focus on their applications rather than on managing network logistics. This ensures that&#x20;businesses can seamlessly integrate DePIN capabilities into their products while end-users interact with&#x20;applications just as they would with any Web2 platform. The result is that any company or service provider can&#x20;launch a custom node network using Datagram’s infrastructure, leveraging the DCS for resource allocation and&#x20;automated reward distribution. While businesses can integrate Datagram's backend into their offerings, the&#x20;platform itself is not intended to function as a fully white-labeled solution but instead operates more like AWS,&#x20;providing the underlying infrastructure that businesses can leverage while maintaining their front-end&#x20;branding and user experience.

An illustration of the entire architecture is below:

<figure><img src="/files/m95YTmN2g1SjQFWvcc2N" alt=""><figcaption></figcaption></figure>
