Prisma SD-WAN Predictive Analytics Dashboard
Use the Prisma SD-WAN Predictive Analytics Dashboard to monitor site, application, and link health using AI/ML-driven health scores, and to predict future bandwidth capacity needs.
| Where Can I Use This? | What Do I Need? |
|---|
- Prisma SD-WAN (Managed by Strata Cloud Manager)
|
- Prisma SD-WAN
- WAN Clarity Reports
|
Prisma® SD-WAN Predictive Analytics provides deep observability into the
health of sites and applications and proactive monitoring to identify critical issues
and troubleshoot them faster, thus enhancing service levels.
Select to view the Predictive Analytics dashboard. Observability
identifies critical Sites, Links,
and Applications and categorizes them as
Good, Fair, and
Poor at the tenant level, based on AI/ML health
scores.
Prediction includes predicting capacity utilization at the
site level based on the previous three to six months of information.
The default time range to view the metrics is three hours; however, you can
adjust it to shorter or longer periods depending on the desired scope of
information.
View the top 10 sites whose bandwidth utilization increased in the
previous 28 days. The dashboard shows a 7-day prediction when 28-day prediction data
is unavailable and forecasts future branch capacity utilization.
For time ranges longer than seven days, a Network DVR license is required.
For more information, contact your Palo Alto Networks Account Team.
Observability and Prediction are available to you with an active WAN Clarity.
Predictive Analytics in the preview mode is available only to select customers
(migrated to the new data lake infrastructure) and will be made available to other
customers in the future. For more information, contact the Palo Alto Networks
Accounts Team.
Sites
The active branch sites are categorized as Good,
Fair, and Poor, and inactive sites
are classified as N/A.
The Sites widget displays sites with poor performance
across your tenant. A site is categorized as poor when more than 10% of
its health score samples fall below 30. For example, during a 3-hour period, the system
collects 36 samples (5-minute intervals equal 12 samples per hour, or 36
samples in 3 hours). If at least 3 samples score below 30,
the system counts the site as poor. The poor site count reflects the number of
unique sites with poor performance during any interval in the selected duration.
| Rating | Score Range | Comments |
|---|
| Good | >=70 | 90% or more samples score 70 or higher during the selected duration. |
| Fair | 30-69 | Samples score between 30 and 69. |
| Poor | <30 | 10% or more samples score below 30 during the selected duration. |
Click Monitor Sites to view Sites.
Alternatively, select to view branch sites. The widget displays the number of sites that were
active during the selected time range. The average score for a poor site represents the average of
all poor samples from sites categorized as poor.
Site Health Distribution—The distribution of Good,
Fair, and Poor sites graph
for a given tenant.
Site Health Distribution Over Time—The Time series graph of Site Health
Distribution Over Time for a given tenant.
The time-series graph is computed and refreshed based on the selected
duration. For example, supported durations are one hour, three hours, 24
hours, seven days, 30 days, and 90 days and the interval is one minute, five
minutes, one hour, and one day, respectively.
Applications
The Applications widget displays health scores
for underperforming applications, lists applications with poor health for your tenant,
and plots the average health score over the last
3 hours in 5-minute intervals.
Click
Monitor Applications to view the
Applications detail widget.
This widget shows the list of Applications, Health Score numbers, and other details
related to that particular application.
Links
The Links widget displays the number of poor-performing links
for your tenant based on health scores during the selected time period.
Click Monitor Links to view the Link Quality
screen. The links list view captures:
Link Performance—The distribution of Good,
Fair, and Poor links graph
for a given tenant.
Link Performance Distribution Over Time—The Time series graph of Link
Performance Distribution Over Time for a given tenant.
The time-series graph is computed and refreshed based on the selected
duration. For example, supported durations are one hour, three hours, 24
hours, seven days, 30 days, and 90 days and the interval is one minute, five
minutes, one hour, and one day, respectively.
Network Insights
The system generates insights using machine learning
algorithms.
These insights identify conditions such as:
Excessive Packet Loss Detected
Excessive Latency Detected
Bandwidth Upgrade Recommended
Configured vs Consumed Bandwidth Mismatch Detected
Low Circuit Throughput Detected
Top Sites with BW Utilization Growth in Past 30 days
The Top Sites with BW Utilization Growth in Past 30 days
widget displays the top 10 Sites that have only increased their utilization in the
last 30 days. Ingress and Egress Trend depicts information for the previous 30
days.
Site Capacity Prediction and Anomaly
The Site Capacity Prediction and
Anomaly widget displays the number of sites that will reach high
capacity utilization threshold within the next 28 days. If 28 days prediction is
unavailable, it will show the seven days prediction for the branch site capacity
utilization, the bandwidth anomaly for the specified time range filter, and the
bandwidth forecast for the next seven days.
Click the branch to view the sites that are attaining high capacity bandwidth
utilization.
Click the number under the Branch column to view the Site List View screen. The table
lists sites approaching capacity. For the
anomalous occurrence branch, you can drill down into the site list to view bandwidth anomaly occurrences for each site.
Select Approaching Capacity, Anomaly, or All to filter the displayed site results.
