I am trying to measure CPU usage for one of my Azure App Services by going to the "Site Metrics per Instance". The problem is that there is no option to check the CPU usage but CPU time and other stuff like "Average memory working set" and "Data In/Out".
Does someone know how and where I can see the CPU usage for one App Service?
You app is related to an App Service plan : monitoring the plan will give you a percentage, but the app can only be monitored about its own metric : its own CPU time. You can imagine changing the plan for the app then the % would be different. So, on the app itself you can only measure the app CPU time, as % is depending on the plan.
On the old/classic portal, you can see the CPU metric by selecting you service and "Monitor": isn't this the CPU usage that you are looking for ?
Just go to App's Metrics > In resource panel select your App Plan related to your App > Now In Metrics panel you will get "CPU PERCENTAGE" Option.
Related
I have an 3 app servies running in an App Service plan in Azure. I am setting up a metric alert if the CPU % or Memeory usage on the App Service plan has reached a thresheold.
But I want to monitor each app service and the instances on each service as some have been scaled. The only mertric measure for CPU is CPU working set , but how does this monitor the CPU uage for the app service as the unit is in sec ?
After reproducing from my end, I could able to achieve your requirement while navigating to your App service >> Diagnose and solve problems >> Search for CPU Drill Down.
You can monitor other App Services as shown in the below image
I have an EP1 app service plan that is hosting a function app.
The plan has 210ACU per month.
How do I find out how many of those I'm using?
(What happens if I run out?)
Azure Compute Unit (ACU) provides a way of comparing compute (CPU) performance across Azure SKUs.
Here you should analyze the CPU Usage and Memory Usage by going to the Diagnose and Solve problems > Availability and Performance:
In this case, you can Scale Up and Scale Out the App Service for meeting the demands during peak hours or you can increase the number of instances count.
Please check this SO Thread1 where I explained about how Scale Up and Scale Out methodology works.
Also, you can create the alerts using Azure Monitor for the app service on different quota exceeds like CPU usage, Memory Consumption, Request Failures, etc.
I have an Azure App Service Plan (tier P1V2) that contains a number of App Services. Each of the App Services is attached to an Application Insights instance.
The App Service Plan Overview shows a CPU usage summary of 100%, but Application Insights Live Metrics shows a very low CPU usage.
Is there an explanation for the values being very different or am I doing something wrong?
Here are images showing what I am seeing. (Note that the first is taken over roughly 1 hour and the second one is over 60-seconds, but the figures have been the same throughout the time I have been looking at this.)
About the difference between the two charts:
What is shown in 'Live Metrics Stream' is the CPU usage of w3wp process, whereas what is shown in App Service Plan level is the total Machine CPU usage.
For the 100% CPU usage in Application Insight. You can use Diagnostics and Solve Problem to see what going wrong.
You also can have a look at this issue to find out what process is occupying CPU kindly look for total_cpu_time/user_cpu_time/privileged_cpu_time..
We recently ran out of memory on our sites under an Azure App Service Plan.
This threw a "Memory Resource Exhausted" error on all Apps.
Clicking "CPU Percentage and Memory Percentage" shows a spike to 82% in last 24 hours.
Navigating to "Metrics per Instance (App Service Plan)" I get a visual of all Web Apps.. Adding up ALL their Working Set in MBs added up to 22% at time of 82% App Service Plan usage.
This SO answer suggests viewing memory usage in Kudu.
Does Azure Dashboard or Kudu have any way to show a break down of specifically "App Service Plan" memory usage?
Watch a quick video to understand different aspects shown in this view
https://www.youtube.com/watch?v=lWeutt1GvRs
Go to the Diagnose and Solve Problems blade for your Azure App in the Azure Portal.
Choose the Availability and Performance category
Choose either Memory Analysis on the left or click on the Memory Usage card on the right
This launches the Memory Analysis tool.
Under the Memory analysis tool:-
The very first thing shown is App Service Plan Density – This checks looks for overstuffed App Service Plans and beeps if it finds that you have too many apps in the same app service plan
An insight is shown if we detect or more apps consuming high memory
Private Bytes consumption for the current app
Physical memory in use for each instance allotted to the App Service Plan
And then Memory Drill down shows Per instance memory drilldown for each app and its associated process running on that instance.
App Level Breakdown
A dated question, but I've found a view that shows this data that I believe did not exist at the time this question was posted.
Go to Diagnose and solve problems and search for "memory" in the input box labeled "Search App Service Diagnostics" at the top of the view. Choose Memory Drill Down in the results.
There you will see a full breakdown of all the apps running per instance on your App Service Plan:
Screenshot 1: Search results for "Memory" in "Diagnose and solve problems" view
Screenshot 2: Full breakdown of memory usages per app per instance on your App Service Plan
I am running a load test against my Azure Web App P3 pricing tier. We have the following auto scale out strategy -
Min Instance 5 and Max instance 20, Increase by 1 Instance if CPU Percentage (Max) goes more than 85%, Decrease by 1 Instance if CPU Percentage Average goes below than 50%
Right now, it is running with 5 instances. If I go to Applications Insights, 'Live Metrics Stream' pane of all available instances, it shows that CPU usage is around 75% (average) in all the 5 instances. In fact, some of the instances are nearing 85%.
Whereas, if I turn to CPU usage chart on the App Service Plan level (I have only one app running under the plan), it shows only 20%.
How do we reconcile these two conflicting stats?
What is shown in 'Live Metrics Stream' is the CPU usage of w3wp process, whereas what is shown in App Service Plan level is the total Machine CPU usage. The former is not normalized for take into account the number of logical processors - so you need to divide it by number of cores to get the normalized percentage.
Even after this, 'Live Metrics Stream' metric can be lower than AppServicePlan metric as the former only shows w3wp usage and the latter shows total machine cpu usage.
According to your description, I tried to run the load test against my Azure Web App. Here are the detailed metrics from Application Insights and App Service Plan, you could refer to it.
Application Insight > Metrics Explorer
Time range within an hour
PROCESS CPU: The percentage of elapsed time of all process threads used by the processor to execute the applications process.This metric is an average. Each point on the chart represents 1 minute of data.
App Service Plan > Monitoring
CPU percentage on the other hand is useful for apps hosted in basic, standard and premium plans since they can be scaled out and this metric is a good indication of the overall usage across all instances.
Note: Since the Live Metrics Stream provides you the metrics within the latest 60 seconds. Please try to compare the metrics from App Service Plan and Application Insights within the same Time range.
Per my understanding, the trend of metrics from Service Plan and Application Insights is approximately the same. For auto-scaling, I assumed that you'd better refer to the metrics from the App Service Plan level. Here is a screenshot about the history metrics when you adding the rule for auto-scaling, which matches the metrics from "App Service Plan > Monitoring" with the same time range.
Metrics when adding the scale rule:
App Service Plan > Monitoring