This release strengthens Day-2 operations for managed and hybrid Kubernetes. You can now monitor GKE Autopilot clusters, AWS FSx for NetApp ONTAP, and Azure Confluent Kafka in the same place you investigate service health. New multi-tenant usage tracking helps admins and partners understand adoption, and download enhancements let teams export full-fidelity Kubernetes Resource Explorer data for offline analysis and audits. The result is faster root cause analysis, clearer cost and performance evidence, and less tool switching.
GKE Autopilot Support and Partnership
How This Helps You
Run on Google Kubernetes Engine Autopilot with full visibility. Get cluster, namespace, workload, and pod health without breaking Autopilot’s controls, and drill down when incidents require proof.
Key Capabilities
- Approved and authorized to operate on GKE Autopilot
- Workload, pod, and node metrics with labels for cluster, namespace, and service
- Events, restarts, limits, requests, and scheduling signals
- Cross-launch for deeper investigation of logs and traces
- RBAC aligned with existing Kubernetes roles
Benefits
- Day-2 confidence on a managed control plane
- Consistent runbooks across self-managed and Autopilot clusters
- Less operational risk when scaling critical services
How to Get Started
- Connect your GCP project and grant the required read permissions
- Virtana automatically detects if you are running on Autopilot when deploying
AWS FSx for NetApp ONTAP Monitoring
How This Helps You
See how FSx for ONTAP behaves under load and how it impacts your Kubernetes workloads. Correlate cloud storage signals with on-prem NetApp and application events to find the real source of tail latency.
Key Capabilities
- Ingest FSx for ONTAP metrics, including IOPS, throughput, latency, capacity, and volume health
- Map volumes and file systems to services and namespaces where tags are available
- Align storage alerts with Global View event correlation policies
- Dashboards for capacity trends, latency distribution, and hot volumes
Benefits
- Better capacity planning with evidence rather than estimates
- One place to view cloud and on-prem NetApp behavior
How to Get Started
- Connect your AWS account with permissions for FSx for ONTAP metrics
- Enable collection for target file systems and tag resources for service mapping
- Add FSxN panels to service and cluster dashboards and create alerts for latency and capacity thresholds
Azure Confluent Monitoring
How This Helps You
Detect and investigate issues in Confluent Kafka on Azure before downstream services degrade. Keep a clear view of message flow and consumer health alongside your Kubernetes signals.
Key Capabilities
- Metrics for message counts, throughput, consumer lag, broker status, and partition health
- Threshold-based alerts, including sustained drops in message counts over a defined window
- Dashboards that align Kafka health with service latency and error rates
Benefits
- Early warning for pipeline regressions that can masquerade as app bugs
- Faster isolation of the component that needs attention
- Better incident timelines for post-mortems
How to Get Started
- Connect your Azure subscription and Confluent API credentials
- Select clusters and topics to monitor and set alert thresholds for lag and message rate
- Add Kafka widgets to service dashboards that own the dependent consumers
Multi-Tenant Usage Tracking
How This Helps You
Understand how teams or customers use the platform in multi-tenant environments. Prioritize enablement, right-size entitlements, and spot unused features.
Key Capabilities
- Tenant and user level views of logins, time in product, and most-used features
- Filters by role, team, and time range
- Export options for quarterly reviews and compliance checks
Benefits
- Evidence-based adoption reporting for platform owners and partners
- License and capacity planning grounded in real usage
- Targeted training based on the features people actually use
How to Get Started
Visit our documentation page to get started.
Download Enhancements for Kubernetes Resource Explorer
How This Helps You
Export complete Resource Explorer results for offline analysis, audits, and shared investigations. Avoid the limitations of on-screen subsets.
Key Capabilities
- Full-fidelity CSV and PDF exports that respect active filters and scopes
- Timestamps and metadata for version control and repeatable analysis
- Compatible with common BI and spreadsheet workflows
Benefits
- Faster evidence collection for post-incident reviews and vendor discussions
- Consistent data handoffs to finance, security, and compliance teams
- Less manual copy and paste during reporting
How to Get Started
- Apply filters in Resource Explorer for the cluster, namespace, labels, and time range you need
- Choose CSV or PDF export and attach the file to tickets or review docs
- Store exports with incident records for a complete audit trail
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.
Infrastructure Observability technical blog: Dell PowerProtect and Dell ObjectScale integrations with topology and metrics
Service Observability technical blog: Cisco Meraki C2C, NetFlow, advanced Kubernetes drilldowns, and dashboard/reporting upgrades
If you want to see Container Observability in action with your clusters or discuss deployment options, contact your Virtana sales representative or request a demo.
David McNerney
Director of Product Management
