PerfStack’s drag-and-drop correlation is designed for exactly this scenario. It allows you to overlay metrics from different modules (like network latency from NPM and application response time from SAM) on a single timeline to visually identify the root cause and sequence of events across hybrid environments.

The Alert Manager provides the granular control needed for this conditional, time-based alert. Universal Device Pollers (UDPs) like ‘Packet Loss %’ collect the specific metric, and the Alert Manager allows you to set the threshold (2%), duration (5 minutes), and triggering conditions to avoid false positives from brief spikes.

The Cloud Observability module is built for this purpose. It uses native APIs (like Microsoft Graph for M365) to pull service health, performance, and usage data directly from the cloud platforms, presenting it alongside traditional on-premises network data in Orion for a unified view of the digital experience.

The Intelligent Map, when configured with dynamic dependency mapping (often using SNMP, WMI, or VMware discovery), visually reveals the relationships between devices and applications. This automated discovery is crucial for understanding how an issue in one component (e.g., a cloud database) can impact dependent on-premises services, illustrating the cascade effect.

PerfStack’s comparison view is specifically designed for this type of analysis. You can load key metrics (like latency, jitter, packet loss) from a historical period (before SD-WAN) and directly compare them with the same metrics from a current period (after SD-WAN) on the same chart, providing clear, visual evidence of improvement.

SolarWinds includes a comprehensive library of pre-built reports for common operational needs. The ‘Nodes Added in the Last 24 Hours’ report is a standard report that will automatically include all nodes discovered by Orion, whether they are physical, virtual, on-premises, or cloud instances (like AWS EC2), provided those resources are being monitored by the platform.

NetPath provides hop-by-hop performance visualization from the Orion platform to any target, including cloud endpoints. It shows latency, packet loss, and device status for each hop, allowing you to isolate whether the problem is within your WAN, the ISP’s network, or within the Azure cloud region itself.

The Cloud Observability module’s discovery jobs can be configured to use cloud-native metadata like AWS tags. By setting a discovery job to regularly sync with your cloud accounts and using a tag-based filter (e.g., ‘Environment: Production’), Orion will automatically add new tagged resources and remove nodes that no longer exist or no longer match the filter, maintaining an accurate inventory.

The SolarWinds Hybrid Cloud Observability solution for Kubernetes uses a Helm chart deployment that integrates with multiple data sources. It can pull infrastructure metrics from the Kubernetes API, application metrics from Prometheus endpoints exposed by the microservices, and more, consolidating both infrastructure and application health into the Orion platform for different teams.

PerfStack’s drag-and-drop correlation is designed for exactly this scenario. It allows you to overlay metrics from different modules (like network latency from NPM and application response time from SAM) on a single timeline to visually identify the root cause and sequence of events across hybrid environments.0