Optimize your system through trend analysis.
Productized machine learning analyzes utilization trends and creates forecasts based on learned patterns, so you can identify operational risks and cost-saving opportunities.
Wind River Studio Optimization Solutions
Collect a broad and deep data set tailored to optimize your exacting processing and storage requirements. 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.
Subscribe only to the data targeted for machine learning analysis and visualization. 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.
Visualization of Platform Resources
Through a single pane of glass, visualize the overall health of the cloud platform implementation. Identify CPU and memory misallocations for optimization as well as a drill down to visualize hot spots, events, and anomalies.
Optimization of Cluster Resource Allocation
Align cluster and namespace resources and identify resource-driven operational risks.
Network and Storage Resource Optimization
Get visibility into resource utilization at the pod level. Plan network traffic capacity for low-latency applications. Identify file system hot spots for optimization.
Processing and Storage
Wind River® 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.
Full-Stack Monitoring of Infrastructure and Services
Because Studio Analytics is open source components, fully integrated into 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
Learn patterns, note and record abnormal behavior and create an anomaly event, forecast trends, and change behavior to adapt.
Visualize platform resources
Through a single pane of glass, visualize the overall health of the cloud platform implementation so you can always know the state of your network.
Optimize network and storage resources
Track and visualize resource utilization at the system level and drill down to the individual pod level for a more detailed view.
Wind River Studio Analytics Partner Ecosystem
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.
Kibana is a data visualization and exploration tool used for log and time-series analytics, application monitoring, and operational intelligence use cases.
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.
The World Is Evolving Rapidly with 5G
Service providers are expected to invest over $900B 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 »