In order to integrate Azure Event Hubs with a Log Analytics workspace for the purpose of collecting logs and metrics, you would typically follow these steps:
Create an Event Hubs namespace and an Event Hub: Event Hubs is a highly scalable data streaming platform and event ingestion service. It can receive and process millions of events per second. Data sent to an event hub can be transformed and stored using any real-time analytics provider or batching/storage adapters.
Event Hubs Authorization Rule: Create an authorization rule for your Event Hub to control the access policies associated with the Event Hub.
Link Event Hubs with Log Analytics workspace: This step often involves the use of Azure Stream Analytics, which can consume data from Event Hubs, process it, and then output the data to various outputs, one of which could be a Log Analytics workspace. This allows real-time analytics to be performed on the data as it arrives.
Monitor and manage the integration: Once set up, you'd monitor the flow of data to ensure that metrics are being streamed and logged appropriately, making use of Azure Monitor for observability.
Below is a Pulumi program in TypeScript that demonstrates creating the necessary resources to set up this integration.
import * as azure from "@pulumi/azure";import * as pulumi from "@pulumi/pulumi";// Create an Azure Resource Groupconst resourceGroup = new azure.core.ResourceGroup("eventhub-rg", { location: "West Europe", // Example location});// Create an Event Hubs Namespace which is a container for multiple Event Hubsconst eventHubNamespace = new azure.eventhub.EventHubNamespace("eventhubnamespace", { location: resourceGroup.location, resourceGroupName: resourceGroup.name, sku: "Standard", // For production use, you might choose "Standard" or "Dedicated"});// Create an Event Hub, an entity within the namespace that can have multiple publishers and subscribersconst eventHub = new azure.eventhub.EventHub("eventhub", { namespaceName: eventHubNamespace.name, resourceGroupName: resourceGroup.name, partitionCount: 2, // Number of partitions to create in the Event Hub messageRetention: 1, // Number of days to retain the events});// Create an authorization rule for the Event Hubconst eventHubAuthRule = new azure.eventhub.EventHubAuthorizationRule("eventhubauthrule", { namespaceName: eventHubNamespace.name, eventhubName: eventHub.name, resourceGroupName: resourceGroup.name, rights: ["Listen", "Send"], // Granting send and listen rights});// Use Azure Log Analytics Workspace to store and query massive amounts of dataconst logAnalyticsWorkspace = new azure.operationalinsights.AnalyticsWorkspace("loganalyticsworkspace", { resourceGroupName: resourceGroup.name, location: resourceGroup.location, sku: "PerGB2018", // Choose an appropriate SKU for your needs});// Output the Event Hub Namespace and Log Analytics Workspace detailsexport const namespaceName = eventHubNamespace.name;export const eventHubConnectionStrings = eventHubAuthRule.name.apply(name => azure.eventhub.getEventHubAuthorizationRule({ resourceGroupName: resourceGroup.name, namespaceName: eventHubNamespace.name, eventhubName: eventHub.name, name: name, }).then(rule => rule.primaryConnectionString));export const workspaceId = logAnalyticsWorkspace.workspaceId;// To link Event Hubs with Log Analytics workspace, additional steps like using Azure Stream Analytics would be required.// This is typically done in the Azure Portal or with an ARM template as it involves several configuration steps.
In this code snippet:
- A resource group is created to contain all the resources.
- An Event Hubs namespace is created as a container for the Event Hub.
- An Event Hub is created within the Event Hubs namespace.
- An authorization rule for the Event Hub is created to control the access.
- A Log Analytics Workspace is created for data querying and storage.
After running this Pulumi program, the infrastructure will get provisioned in Azure accordingly. Please note that to actually link the Event Hub to the Log Analytics workspace, additional configuration would be required, and this might involve Azure Stream Analytics, which has not been covered in this code snippet. This step typically involves configuration that's currently outside the scope of a Pulumi program and may need to be done through the Azure Portal or Azure CLI.
Remember to run pulumi up from your command line in the directory where this Pulumi program is saved to provision the infrastructure in Azure. Make sure you have the correct Azure credentials configured for your Pulumi CLI.
