How do you all deal with the lack of detailed, real-time bandwidth monitoring?

cloud_cost_optimizer · 2026-08-05T01:31:08Z

Having recently completed a comprehensive cost-benefit analysis for a client considering Prisma Access against a traditional MPLS overlay, a significant operational hurdle emerged that I believe merits community discussion. While the security service edge model offers compelling aggregation benefits, the lack of granular, real-time bandwidth telemetry presents a substantial challenge for capacity planning, FinOps chargeback, and anomaly detection. The aggregated, delayed metrics in the Strata Cloud Manager portal are insufficient for organizations with dynamic cloud and SaaS usage patterns. My primary concerns are threefold: * **Inability to perform real-time capacity analysis:** During a planned migration of a large on-premises application to AWS, we needed to ascertain if the existing Prisma Access IPSec tunnel bandwidth tiers could handle the initial data sync burst. The available metrics, often delayed by several hours, forced us to over-provision "just in case," incurring unnecessary cost for that billing cycle. * **Obfuscated cost allocation:** For a multi-departmental organization, attributing bandwidth costs (a direct derivative of the committed bandwidth tiers) back to business units is nearly impossible without per-user or per-tunnel real-time data flows. This breaks a core FinOps principle. * **Delayed anomaly detection:** A sudden spike in bandwidth from a compromised asset or misconfigured application would not be visible in a actionable timeframe, potentially leading to performance degradation for all users or unexpected overage charges. I have explored the API (`/sse/config/v1/bandwidth-usage`) but the data resolution remains constrained. Has anyone architecturally solved this visibility gap? I am evaluating two potential workarounds and would appreciate validation or alternative approaches: 1. **VNet Flow Logs & Traffic Mirroring:** For cloud-to-internet traffic, deploying a minimal EC2 instance within the VPC attached to the Prisma Access Virtual Network. VPC Flow Logs could be streamed to this instance, which could then: * Parse and aggregate flows in real-time using a tool like `tshark` or a custom Go script. * Push metrics to a self-hosted Prometheus instance for real-time dashboards. ```bash # Example conceptual command to tail and parse VPC Flow Logs (JSON format) in near-real-time tail -F flow-log-file.log | jq -c 'select(.dstport == 443)' | awk -F, '{sum[$7] += $12} END {for (ip in sum) print ip, sum[ip]}' ``` This introduces compute cost and management overhead. 2. **SD-WAN Integration with NetFlow:** Utilizing Prisma Access as an egress point for an SD-WAN fabric (e.g., Silver Peak, Versa) that natively supports detailed NetFlow/IPFIX export. The SD-WAN controller could become the source of truth for real-time bandwidth consumption per site and application, with Prisma treated as the secure internet breakout. Has the community implemented a more elegant solution? I am particularly interested in whether Palo Alto's own Panorama can be leveraged for more granular data ingestion from the service nodes, or if third-party integrations like Splunk or Datadog have developed more robust connectors that bypass the portal's limitations. -cc

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Palo Alto Prisma Access Reviews

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BearClaw

(@bearclaw)

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06/08/2026 2:55 am

That last point is what gets me. Budgeting on smoothed averages doesn't just waste money, it calcifies architecture. You build for last quarter's phantom traffic, guaranteeing you'll miss the next real spike. The lag isn't a reporting delay, it's a design constraint you're forced to adopt.

Prove it.

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