Wind River
Analytics

Get the visibility you need to make proactive and informed decisions that will keep your cloud up and optimized.

 
Wind River
 

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 challenging. Wind River® Analytics is the tool to make the job easier.

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Proactive   Cloud Management and Operations

Maintain your private cloud uptime by using AI assistance to identify issues before they become problems.
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Operational 
Cost Savings

Leverage big data and analytics to effectively monitor and analyze your distributed cloud network.
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Deeper, Broader, 
and tailored data

With a fully integrated solution, access a much larger, full-stack data set that you can specify to your needs.

Key Features

Wind River 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.

100% success rate

Collect

Collect a broad and deep data set tailored to 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 data are gathered to ensure that the entire operational landscape is monitored.

Lower Costs

Aggregate

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.

Easy-to-use

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 that the data is managed appropriately and persists only as long as it needs to.

Certifications and compliance

Analyze

Analyze the data to derive powerful insights from 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.

Product evaluation

Stay Informed

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 capabilities 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. Studio Analytics contains the technology of Elastic and leverages components of Elasticsearch, Kibana, and Logstash.

StarlingX Logo

Wind River is a leader and active participant in many industry standards and open source initiative for building mission-critical cloud infrastructure. We provide our customers with commercialized open source products backed by our award winning customer support and services.

Powering the Most Mission-Critical Cloud Deployments

5G virtual RAN (vRAN) networks are being designed with a geo-distributed virtualization approach in order to accommodate demanding telecommunication workloads. They require ultra-low latency response times and high reliability in order to function properly. These cloud deployments have tens of thousands of deployed compute nodes.

To support these mission-critical clouds telecommunications companies use Wind River Cloud Platform. Wind River Conductor provides key orchestration capabilities across their complex, distributed clouds helping them deploy and manage the cloud infrastructure and workloads needed to meet the demands of their mobile customers.