Collect. Monitor. Analyze. Report. Alert.
Once a distributed cloud is deployed, Wind River® Studio Analytics supports effective management of a distributed cloud system by consuming and processing data through machine-learning algorithms, to produce meaningful insights for decision-making.
Wind River Studio Analytics Solutions
Collect a broad and deep data set tailored for your needs. Data can be pulled across all layers of the system, including the hardware, container abstractions, services, and applications. Detailed memory, CPU, storage, network traffic, and service state are gathered to ensure that the entire operational landscape is monitored.
Aggregate both structured and unstructured data, including logs and metrics. 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 preprocessing. Pre-integrated plugins permit distribution of select data to various end points.
Processing and Storage
Studio includes 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 it needs to.
Put the data to use to derive powerful insights into the distributed cloud. Visualizations, dashboards, and ML-based trend analysis provide a view that can be interpreted for proactive decision-making to keep your network healthy and optimized.
Proactive alerts and comprehensive reports keep you up-to-date about what is happening in your distributed cloud.
Full-Stack Monitoring of Infrastructure and Services
Because Studio Analytics is fully integrated into Wind River Studio, it allows you to access a much larger, full-stack data set that you can use to keep your system optimized.
Wind River Studio Analytics
Studio provides an overview of overall infrastructure health and removes the operational burden of analyzing individual systems and hosts. Users may drill down to individual entities for detailed analysis.
Machine learning and anomaly explorer
Track system-wide anomalies over a time horizon, noting the highest anomaly level present. Studio also displays the severity level learned at the measuring interval.
Wind River Studio Analytics Ecosystem Partners
Elasticsearch is a search engine based on the Lucene library. It provides a distributed, multi-tenant–capable full-text search engine with an HTTP web interface and schema-free JSON documents.Learn More »
Kibana is a data visualization and exploration tool used for log and time-series analytics, application monitoring, and operational intelligence use cases.Learn More »
Apache Kafka is a distributed event store and stream-processing platform. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.Learn More »
The World Is Evolving Rapidly with 5G
Service providers are expected to invest over $900M worldwide in 5G network infrastructure in the next five years. See this infographic to understand some of the key drivers and considerations.See the Infographic »