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Wind River

Wind River® Analytics, fully integrated with Wind River Cloud Platform, gives you the visibility you need to make proactive and informed decisions that will keep your cloud up and optimized.

Product Overview

Identify trends. Detect anomalies. Prevent problems.

A distributed edge cloud could be deployed on tens—or tens of thousands—of edge nodes. The geo-distributed design with numerous end points makes monitoring and managing such a cloud very challenging. Wind River Analytics is the tool to make the job easier.

Wind River Analytics Explainer Video

Wind River Analytics Explainer Video

Proactive, optimal network operations Proactive, optimal network operations

Service assurance is achieved by ensuring that the system is operating within targets. Identify and address issues before they become problems, and get visibility into a relevant data set along with trend analysis to help identify and predict the effects of network anomalies.

Operational cost savings Operational cost savings

Hiring the amount of staff needed to effectively monitor and analyze your distributed cloud network behavior isn’t sustainable. Leverage big data and analytics instead.

Deeper, broader, and more tailored data collection Deeper, broader, and more tailored data collection

Because Analytics is fully integrated into Wind River Cloud Platform, it allows you to access a much larger, full-stack data set that you can specify to your needs. It is customizable to get the data you need most to run your network.

Key Features

Analytics makes it possible to effectively manage a distributed cloud system by consuming and processing the data to produce meaningful insights for decision-making. With full stack monitoring of the cloud infrastructure cluster and services, Analytics collects, analyzes, and visualizes cloud behavioral data to help you keep your cloud up and optimized while reducing operational costs.


Collect a broad and deep data set tailored for your needs. Data can be pulled across all layers of the system, including the infrastructure, cluster, services, and applications. Detailed memory, CPU, file system, and service state are gathered to ensure that the entire operational landscape is monitored.


Aggregate both structured and unstructured data, including logs, metrics, and traces. Whether at the individual host level or aggregated with the local or distributed cluster, data is enriched to provide context beyond the metric and timestamp and includes tagging, transformation, and pre-processing.

Process and Store

Process and store with replication indexing, which provides redundancy as robust as the system and makes the data faster for search. Lifecycle management ensures the data is managed appropriately and persists only as it needs to.


Analyze the data to derive powerful insights into the distributed cloud. Visualizations, dashboards, and trend analysis provide a view that can be interpreted for proactive decision-making to keep your network healthy and optimized.

Get proactive alerts and reports

Get proactive alerts and reports so you can always know what is happening in your distributed cloud.

Open Source Software Foundation

Wind River Analytics and Wind River Cloud Platform are both commercially supported products derived from the StarlingX open source project. StarlingX is a best-of-breed integration of multiple open source projects that solves the operational problem of deploying and managing distributed networks. Analytics contains technology of Elastic and leverages components of Elasticsearch, Kibana, and Logstash.

To learn more and get involved in the StarlingX open source project visit www.starlingx.io.



Wind River is an active participant and leader in critical industry standards and open source initiatives for building critical infrastructure.

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