I want to make a logic app that will send an email if Azure data catalog goes down for one of our subscriptions. I know i can ping it but wanted to know if there was a built in trigger or action to test of services.
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I have a Logic App running every minute that checks the time that data was last received in a table. If it has been enough time since the data was updated I want to receive an alert. I really like the Action Groups used by the Alerts in Azure. They are clean and have lots of options like email, SMS, and Phone. How can I trigger an Action Group from my Logic App?
I know I can recreate the email, SMS, and Phone connections in the Logic App, but then it's harder to maintain. I'm already using the same Action Group for other Alerts. It would be easier to maintain if I could reuse this Action Group.
There is ton online about triggering a Logic App from an Action Group. This is NOT what I'm trying to do. I want the reverse. I want to trigger an Action Group from a Logic App.
How can I trigger an Action Group from my Logic App?
Currently as per the documentation We can trigger a particular logic app using the action group but there is no way to trigger a particular action group using logic app.
It would be easier to maintain if I could reuse this Action Group.
Yes, you can use same action group in multiple alert mechanisms.
Would suggest you to raise a feature request using this azure support link.
You should be able to send data to a custom log in Log Analytics from your Logic App using Azure Log Analytics Data Collector.
Then you can use a Log Analytics query to evaluate resources logs every set frequency, and fire an alert based on the results. Rules can trigger one or more actions using Action Groups. - see Create, view, and manage log alerts using Azure Monitor.
I have an application installed on a VM that publishes a page via OData.
I need to be able to trigger a high urgency alert based on one specific value published by the page.
I am little aware of Application Insights to monitor applications in Azure. But I am not sure if there is a way to read the data from the API and trigger an alert.
What options do I have to accomplish this in Azure?
Pls allow me to share my idea here.
creating app insights alert
enable app insights for azure vm
First, adding app insights to your application can made AI to capture your requests, dependencies, logs and some other messages, including calling API.
In my thoughts, I can log the response message of the API and set alert for some specific keywords. I created an azure function, and it will call MS graph API when triggered, and log the response. This function has integrated AI, so I created an alert by kql:
traces
| where timestamp > ago(30m) and message contains "xxx"
and set alert rule based on number of results greater than 0. When the alert was triggered, it will send email to my mailbox to mention me.
This means any time my API returned the response contains specific words, I will receive an email about it.
Following is the proposed transition in our application:
Web Application is deployed in on-premises IIS (Web Server 1).
Web Application has one functionality (for example, Generate Invoice for selected customer).
For each new request of Generate Invoice, the web application is writing message to the Azure Service Bus Queue.
Azure function gets triggered for each new message in Azure Service Bus Queue.
Azure function triggers Web API (deployed on-premises).
Web API generates Invoice for the customer and stores in the local file storage.
As of now, we have everything setup on-premises, and instead of Service Bus and Azure function, we directly consume Web API. With this type of infrastructure in place, we are currently logging all events in an MongoDB collection, and providing single consolidated view to the user. So they can identify what happened to the Generate Invoice request, and at which level and with which error it got failed (in case of failures).
With the new proposed architecture, we are in process of identifying ways for logging and tracing here, and display consolidated view to the users.
The only option, I can think of is to log all events in Azure Cosmos DB from everywhere (i.e., Website, Service bus, function, Web API), and then provide consolidated view.
Can anyone suggest if the suggested approach looks OK? Or if anyone has some better solution?
Application Insights monitors the availability, performance, and usage of your web applications whether they're hosted in the cloud or on-premises. It leverages the powerful data analysis platform in Azure Monitor to provide you with deep insights into your application's operations and diagnose errors without waiting for a user to report them.
Workbooks combine data visualizations, Analytics queries, and text into interactive documents. You can use workbooks to group together common usage information, consolidate information from a particular incident, or report back to your team on your application's usage.
For more details, you could refer to this article.
I am developing a Azure IOTHUB use case.
Multiple Load cells are sending continuously (every 1/2 sec) sending data to IOTHUB. (DeviceID, weight).
SQL Table with User Data .
I want to make a system that that sends an email notification on certain weight to the device owner.
What is the right approach to achieve that.
I have seen Logic apps is an option but how to implement it with multiple user account and devices.
I would use IoT Hub routing to push the messages that meet the weight criteria to a service bus queue. From there you can use an Azure Function with a Service Bus Trigger. I assume the user account information (e-mail address?) is available via a query in the SQL table. Azure Functions have a SendGrid binding that you'd then use to send out the e-mail.
Note that routing IoT Hub directly to a function is on the backlog.
Basically, there are two solutions for your scenario, when each device has own criteria on the weight:
The device twin desired property contains a weight value used for publishing a non-telemetry alert message by a real device to the Azure IoT Hub. This alert message can be routed in the Azure IoT Hub Routes to the custom endpoint the same way like is described in Jim's answer (ServiceBus->AzureFuction->SendGrid)
The second solution is more complex, generic, very flexible and it doesn't require any special coding on the device side or device twin. It's based on the standard telemetry stream pipeline with Azure Stream Analytics (ASA) job for analyzing events and generating a notification message for output to the Azure Function with SendGrid. The ASA job used a reference data (user data, weight, etc.) from the blob file generated and refreshed by SQL Database.
The following screen snippet shows this solution:
I would like to present one another approach which I think is correct too (I tested this flow):
Data is sent to the Azure IoT Hub from device
Azure Stream Analytics filters this data basing on weight and deviceID
Once data is analyzed there is a call to the Azure Function which triggers Azure Logic App with data collected from the Stream Analytics
Azure Logic App receives data (HTTP trigger) from Azure Function App
Then Logic App uses "Get row" action step to get user data from SQL Database
Last step is up to you - you can use either "SendGrid - send e-mail" action or integrate Logic App with Outlook or even Office365, Gmail and other services.
Here are the links to the documentation:
Connect to SQL Server or Azure SQL Database from Azure Logic Apps
Send emails and manage mailing lists in SendGrid by using Azure Logic Apps
How can I correlate a single request across multiple Azure services in Application Insights?
Say we expose a "Create Case" API endpoint in API Management, using an API App.
The API App does some work, including triggering a Logic App.
How can I see the "flow" of the request throughout all the various Azure services to give a single "view" of the state of a particular case?
And I'm only saying Application Insights as we sort of use it in Web Apps / API Apps, so any other Azure based tool is fine
What we do:
in API Management inbound policy we create a GUID (CorrelationId)
which we then pass on either in HTTP headers to API backends or in Message
Properties through Service Bus Queues/Topics
API Management logging (including the CorrelationId) is pushed to EventHub which then is logged to AppInsights with an Azure Functions
all APIs and Functions that handle Queue etc. messsages also log to AppInsights
In summary: all logic components that can log to AppInsights take the CorrelationId and put it into the CustomDimensions. This way we keep track of all steps a request takes.
You can use Client Tracking Id for this.
The client tracking ID is a value that will correlate events across a logic app run, including any nested workflows called as a part of a logic app. This ID will be auto-generated if not provided, but you can manually specify the client tracking ID from a trigger by passing a x-ms-client-tracking-id header with the ID value in the trigger request (request trigger, HTTP trigger, or webhook trigger).