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 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.
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 that the data is managed appropriately and persists only as long as it needs to.
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.
Get proactive alerts and reports so you can always know what is happening in your distributed cloud.
Commitment to Open Source and Open Standards
Wind River is an active participant and leader in critical industry standards and open source initiatives for building critical infrastructure.