WIND RIVER STUDIO: DEPLOY

Distributed Cloud

Wind River Studio provides a complete cloud-native infrastructure software stack, based on the StarlingX open source project.

Distributed cloud is essential to support the use cases of the future.

Use cases including IIoT, telecom, video delivery, and other demanding, low-latency applications require the complete Kubernetes-based cloud infrastructure software stack, from the edge to the core of the network, provided by Wind River® Studio Cloud Platform.

Wind River Studio Distributed Cloud Solutions

Distributed Cloud

Heterogeneous distribution of Kubernetes clouds. Includes a central cloud (system controller) and remote, geographically dispersed edge clouds. Supports centralized deployment of a container platform on sub-clouds with sub-cloud health monitoring and management.

Host Management

Provides full lifecycle management of the host. Detects and automatically handles host failures and initiates recovery. Also provides monitoring and fault reporting for cluster connectivity, critical process failures, resource utilization thresholds, interface states, and more.

Fault Management

Provides a framework for infrastructure services via API to set, clear, and query customer alarms as well as generate logs for significant events. Maintains an active alarm list and provides a REST API to query alarms and events.

Software Management

Automated deployment of software updates for security and/or new functionality. Includes an end-to-end rolling upgrade solution and supports in-service and reboot required patches.

Configuration Management

Manages installation through auto-discovery of new nodes, managing installation parameters, and bulk provisioning of nodes through the XML file. Also handles nodal configuration and inventory discovery.

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Service Management

Includes a high availability manager with an N+M redundancy model or N across multiple nodes. Uses multiple messaging paths to avoid split-brain communication failures. Also provides active or passive monitoring of services.

Get Operational Scale for Distributed Cloud

Use cloud strategy orchestration to patch a thousand sub-clouds with a single click.

See how automated patching keeps your sub-clouds in sync.

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Wind River Studio Distributed Cloud Infrastructure for Edge to Core

Studio provides a Kubernetes-based cloud infrastructure stack. Based on the open source StarlingX project, Studio Cloud Platform compiles best-in-class open source technology to deploy and manage distributed networks.

Wind River Studio Cloud Platform architecture

Wind River Studio Cloud Platform architecture

Runs at the
scale you need

Studio Cloud Platform can run on a single server consuming as little as two cores, or two servers for use cases requiring high availability. It can scale up to thousands of nodes running tens of thousands of services.

Keep your system running

Built-in high-availability features ensure Studio Cloud Platform will help you meet your SLAs. Also, the ability to do in-service upgrades means you don’t need to bring your system down for updates.

Manage your system, manage your cost

Studio includes orchestration and automated operations with features such as zero-touch provisioning and single-pane-of-glass management. Keep operational costs under control by making it easier to run a complex geo-distributed network.

Distributed Cloud Ecosystem Partners

OpenInfra

OpenInfra builds, owns, and operates open access fiber networks for residents and businesses, providing the digital infrastructure of the future.

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Kubernetes

Kubernetes is an open source system for automating deployment, scaling, and management of containerized applications.

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StarlingX

StarlingX is an Open Infrastructure Foundation project providing a fully featured open source distributed cloud, ideal for supporting critical infrastructure applications and services at the network edge.

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Wind River Studio Distributed Cloud FAQs

Wind River takes a full lifecycle approach to security from development to deployment to operations. We provide commercial hardening and packaging, support and maintenance, ecosystem validation, telco-aligned roadmaps, and alignment with open source.
Yes. For systems using Kubernetes, it will support containers. For systems running OpenStack, it will support virtual machines.