I have my Web application deployed on App Service Plan/Web App and have enabled Application Insight (attached to Log Analytics Workspace) for same. I have a requirement of getting below specific data for user/session. Can someone help me with what specific metric filter I need to apply in Application Insight (OR) if you can provide me the KQL query for same. That would be real helpful.
Requirement:
I would like to see by user, per day, per hour how many times did they access the application (or) how much time did they spend per day in application (or) how many clicks/operations they performed?
Thank You.
Related
Our ASP.NET Core app logs trace messages to App Insights. We need to be able to query them and filter by some customDimentions. However, I have found 3 APIs and am not sure which one to use:
App Insights REST API
Azure Log Analytics REST API
Azure Data Explorer .NET SDK (Preview)
Firstly, I don't understand the relationships between these options. I thought that App Insights persisted its data to Log Analytics; but if that's the case I would expect to only be able to query through Log Analytics.
Regardless, I just need to know which is the best to use and I wish that documentation were clearer. My instinct says to use the App Insights API, since we only need data from App Insights and not from other sources.
The difference between #1 and #2 is mostly historical and converging.
Application Insights existed as a product before log analytics, and were based on different underlying database technologies
Both Application Insights and Log Analytics converged to use the same underlying database, based on ADX (Azure Data Explorer), and the same exact REST API service to query either. So while your #1 and #2 links are different, they point to effectively the same service backend by the same team, but the pathing/semantics are subtly different where the service looks depending on the inbound request.
both AI and LA introduce the concept of multi-tenancy and a specific set of tables/schema on top of their azure resources. They effectively hide the entire database from you, and make it look like one giant database.
there is now the possibility (suggested) to even have your Application Insights data placed in a Log Analytics Workspace:
https://learn.microsoft.com/en-us/azure/azure-monitor/app/create-workspace-resource
this lets you put the data for multiple AI applications/components into the SAME log analytics workspace, to simplify query across different apps, etc
Think of ADX as any other kind of database offering. If you create an ADX cluster instance, you have to create database, manage schema, manage users, etc. AI and LA do all that for you. So in your question above, the third link to ADX SDK would be used to talk to an ADX cluster/database directly. I don't believe you can use it to directly talk to any AI/LA resources, but there are ways to enable an ADX cluster to query AI/LA data:
https://learn.microsoft.com/en-us/azure/data-explorer/query-monitor-data
And ways to have a LA/AI query also join with an ADX cluster using the adx keyword in your query:
https://learn.microsoft.com/en-us/azure/azure-monitor/logs/azure-monitor-data-explorer-proxy
I have sent couple of emails to support team for become a sabre customer, I have submitted the application to get the access at following link.
https://www.sabretravelnetwork.com/home/solutions/travel_agency/contract_selector/without_arc2
Pls let us know if I am missing anything?
Thanks
Access to the PNR (Passenger Name Records) requires a contract with Sabre. They only give this access to travel agents or companies writing services for travel. There is also associated fees. Also you need to be aware there are costs for every PNR you create. So its not as easy as just getting access to the PNR.
I know this is not the answer you want but its how it works.
If your just trying to build out a small booking engine I would suggest getting into Expedia's API toolkit. Much easier and allot less expensive to get into.
I'm using the Java client library's MetricServiceClient for getting StackDriver timeseries. I am authenticating using a user oauth token (this user has access to multiple projects), but there seems to be some kind of global quota across multiple projects because when I fetch only one or two projects at a time I have no throttling, but when I fetch four or five different projects at a time, I start getting throttled with errors like the following:
io.grpc.StatusRuntimeException: RESOURCE_EXHAUSTED: Insufficient tokens for quota 'DefaultGroup' and limit 'USER-100s' of service 'monitoring.googleapis.com' for consumer 'project_number:764086051850'.
I have confirmed this by alternating which projects are being fetched so that I can say it is not any single project -- they all start to get rate limited. Another strange thing is, that project_number in the error message doesn't correspond to any project I am fetching, or even have access to -- it is meaningless to me.
This appears to be the quota for # of requests per 100 seconds, but I have that set to 10,000 on all projects and I'm not doing nearly that many requests, as the quota historical chart in the web console confirms.
Is there really some global quota that applies across multiple projects and if so, is there some way to work around it? It is much simpler to me to have a single user with access to multiple projects instead of having to make service account tokens for them all.
The token quota you're hitting is for users using Application Default Credentials (which uses a shared gcloud project for billing), while it exists to get users up and run quickly but it's not recommended for actual production use. Therefore using a proper service account bound to the user's project is highly recommended and the solution to the issue.
I am planning to develop a website which will allow registered users to
view there analytic data from various sites like Google Analytic in one
dashboard, some what similar to http://www.cyfe.com/ which provides all in
one dashboard.
I am thinking of two approaches to implement this application.
Approach #1: once the user logins to my web application and request for data, my application would make a call to analytic website using there API (ex
Google Analytic API) and display response data.
Approach #2: execute a job which executes for a particular interval
(say for every 30 min) and retrieves analytics data for all registered users
and saves in my application database. And when user requests data, my application would display the data from application database instead sending request to Analytic website.
Can anyone please suggest the pros/cons of each approach and which one is good to implement?
Remember google analytics data isn't done processing for 24 - 48 hours so requesting data every 30 minutes is over kill the data wont be complete or accurate. Run your application once a day to get data for two days ago.
The main problem you are going to have is the limit of 7 dimensions and 10 metrics per request. There is no primary key so there is no way of linking data from one request back to the data of another request.
Another issue you will have is that you can max return 10k rows per request depending upon how many rows are returned by the request you end up making a large number of requests against the API which will be hard on your quota.
Also you may end up with quota issues you can make a max of 10k requests to each profile per day. once you have hit that quota you will not be able to make any more requests against that profile until the next day. This quota can not be extended.
You can also make a max of 10 requests a second per user / profile you can tweek this a little using quota user but your application will not be able to run very fast it takes on average half a second for each request to return data. Things are going to take time unless you want to run multiple versions of your extracting application but again it will require you tweek quota user. This quota can not be extended.
Your application can make a max of 50 k requests against the api a day for all profiles. Once you reach 80% of that quota I recommend you apply for an extension it can take a month or more to get the extension of this quota it is a good idea to plan ahead for this.
Note: I am the lead developer on a business intelligence application that exports data from Google Analytics into data warehouse application daily I have run into each of those issues. While what you are planning on doing is possible to do you just need to understand the limitations of the google analytics api before you begin your development process.
I'm looking for a method in which an application I will be hosting will have the ability to run a tasks on a giving interval of x minutes to check a database and send out reminder emails automatically. This would of course be based upon a scenario in which someone has scheduled a meeting, let's say, on a day and the service's job would be to send a reminder a week prior to the meeting and on the day of the meeting. Would I be looking to run a Windows Service to complete this function or is there a better way to do such a thing? Not asking for full source just a push in the right direction. Thanks for the guidance in advance!
sounds like a windows service would work good here. Set a timer in the service that will read your database at the given interval and perform the actions you want.
Here's a link that might help you to get started.