This release adds first-class support for Dell PowerProtect and Dell ObjectScale inside Infrastructure Observability. You can discover devices and clusters, collect health and performance metrics via REST API and SNMP, and visualize relationships in a topology view. Correlate these storage and resilience signals with Kubernetes and service alerts in Global View to shorten investigations, validate protection status, and plan capacity with evidence.
Dell PowerProtect Integration
How This Helps You
Confirms backup and recovery posture during incidents and maintenance. You can verify whether protected assets meet RPO and RTO expectations and see where failures or bottlenecks exist without leaving your observability workflow.
Key Capabilities
- Discovery of PowerProtect appliances and protected assets
- Metric collection through REST API and SNMP (health, job status, capacity, throughput)
- Topology view linking appliances, protection policies, and target systems
- Alert ingestion and status visualization for failed or delayed jobs
- Correlation in Global View with application and Kubernetes events
Benefits
- Faster incident reviews by checking protection status alongside service health
- Clear evidence for auditors and leadership on recovery readiness
- Early warning on capacity or performance constraints affecting backup windows
How to Get Started
- Create a PowerProtect data source with API credentials and SNMP community settings
- Run discovery to populate appliances, assets, and relationships
- Add PowerProtect widgets to resilience and operations dashboards
- Define alerts for failed jobs, missed windows, and capacity thresholds
Dell ObjectScale Integration (Early Access)
How This Helps You
Exposes object storage behavior that often hides behind application symptoms. You can see capacity trends, latency, and hot tenants or buckets, then connect those patterns to upstream services during investigations.
Key Capabilities
- Discovery of ObjectScale clusters, nodes, and front-end endpoints
- Metrics for capacity, IOPS, throughput, latency, and component health
- Views at cluster, tenant, namespace, and bucket levels (Future)
- Topology mapping between clients, endpoints, and nodes
- Global View correlation with service and Kubernetes alerts
Benefits
- Detect saturation and skew before they impact user experience
- Improve capacity planning with concrete growth and hot-spot data
- Reduce misdiagnosis by tying storage latency and errors to the right owners
How to Get Started
- Add an ObjectScale data source and grant read permissions for metrics
- Tag tenants and namespaces to align with services or teams
- Build dashboards for capacity, latency distribution, and hot tenants/buckets
- Set thresholds for latency and capacity headroom, and subscribe teams to alerts
What to read next
Launch overview blog: How these updates improve performance visibility and ROI across AI workloads and hybrid infrastructure
Global View technical blog: Token Usage Dashboard, GPU Fleet Analysis, Service Observability alerts in Global View, VM-based deployment, and granular meter cards.
Container Observability technical blog: GKE Autopilot support, FSx for NetApp ONTAP monitoring, Azure Confluent monitoring, multi-tenant tracking, and export enhancements
Service Observability technical blog: Cisco Meraki C2C, NetFlow, advanced Kubernetes drilldowns, and dashboard/reporting upgrades
If you want to see Infrastructure Observability in action with your environment or discuss deployment options, contact your Virtana sales representative or request a demo.
Marc Bachmeier
Sr. Product Manager, Virtana