Monitoring multi-cloud container storage with Portworx and Datadog

Portworx, a leading provider of Kubernetes storage solutions, has announced an integration with Datadog to enhance monitoring capabilities for its customers. The integration allows users to correlate performance metrics from Portworx with data from infrastructure and application components, helping identify performance bottlenecks and enabling appropriate resource provisioning. With the new integration, Datadog collects cluster-level metrics from Portworx, allowing users to monitor health, capacity usage, and set alerts for indicators like quorum or capacity used. Additionally, machine learning features in Datadog enable automatic notifications if a single node is behaving differently than others. The integration also provides capacity planning tools, such as host maps and forecasting, to help track overall usage against available resources. Furthermore, developers can monitor per-volume I/O, throughput, and latency metrics in context with other infrastructure and application performance data. This comprehensive monitoring solution helps users troubleshoot performance issues more effectively and maintain optimal resource allocation for their Portworx clusters and nodes.