You have an Azure App Service app. You need to implement tracing for the app. The tracing information must include the following: ✑ Usage trends ✑ AJAX call responses ✑ Page load speed by browser ✑ Server and browser exceptions What should you do?
A.
Configure IIS logging in Azure Log Analytics.
B.
Configure a connection monitor in Azure Network Watcher.
C.
Configure custom logs in Azure Log Analytics.
D.
Enable the Azure Application Insights site extension.
Suggested Answer:D🗳️
For web pages, Application Insights JavaScript SDK automatically collects AJAX calls as dependencies. Note: Some of the things you can track or collect are: What are the most popular webpages in your application, at what time of day and where is that traffic coming from? Dependency rates or response times and failure rates to find out if there's an external service that's causing performance issues on your app, maybe a user is using a portal to get through to your application and there are response time issues going through there for instance. Exceptions for both server and browser information, as well as page views and load performance from the end users' side. Reference: https://azure.microsoft.com/en-us/blog/ajax-collection-in-application-insights/ https://blog.pragmaticworks.com/what-is-application-insights
What does Application Insights monitor?
Request rates, response times, and failure rates - Find out which pages are most popular, at what times of day, and where your users are. See which pages perform best. If your response times and failure rates go high when there are more requests, then perhaps you have a resourcing problem.
Dependency rates, response times, and failure rates - Find out whether external services are slowing you down.
Exceptions - Analyze the aggregated statistics, or pick specific instances and drill into the stack trace and related requests. Both server and browser exceptions are reported.
Page views and load performance - reported by your users' browsers.
AJAX calls from web pages - rates, response times, and failure rates.
User and session counts.
Performance counters from your Windows or Linux server machines, such as CPU, memory, and network usage.
Host diagnostics from Docker or Azure.
Diagnostic trace logs from your app - so that you can correlate trace events with requests.
Custom events and metrics that you write yourself in the client or server code, to track business events such as items sold or games won.
correct.
- A and C are essentially the same, and could cover some req’s but not all (e.g. Ajax). ref https://docs.microsoft.com/en-us/answers/questions/30900/azure-app-service-log-integration-with-log-analyti.html
- B only covers networking, and will not show much for the server and app
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