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Michael Bender
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updates for freshness
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articles/load-balancer/ipv6-configure-standard-load-balancer-template-json.md

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ms.service: virtual-network
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ms.topic: how-to
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ms.workload: infrastructure-services
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ms.date: 03/31/2020
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ms.date: 12/04/2023
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ms.author: mbender
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ms.custom: template-how-to, devx-track-arm-template
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articles/load-balancer/load-balancer-multivip-overview.md

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ms.service: load-balancer
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ms.topic: conceptual
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ms.workload: infrastructure-services
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ms.date: 09/19/2022
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ms.date: 12/04/2023
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ms.author: mbender
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ms.custom: template-concept, seodec18
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---
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The destination of the inbound flow is now the frontend IP address on the loopback interface in the VM. Each rule must produce a flow with a unique combination of destination IP address and destination port. Port reuse is possible on the same VM by varying the destination IP address to the frontend IP address of the flow. Your service is exposed to the load balancer by binding it to the frontend’s IP address and port of the respective loopback interface.
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You'll notice the destination port doesn't change in the example. In floating IP scenarios, Azure Load Balancer also supports defining a load balancing rule to change the backend destination port and to make it different from the frontend destination port.
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You notice the destination port doesn't change in the example. In floating IP scenarios, Azure Load Balancer also supports defining a load balancing rule to change the backend destination port and to make it different from the frontend destination port.
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The Floating IP rule type is the foundation of several load balancer configuration patterns. One example that is currently available is the [Configure one or more Always On availability group listeners](/azure/azure-sql/virtual-machines/windows/availability-group-listener-powershell-configure) configuration. Over time, we'll document more of these scenarios.
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articles/load-balancer/monitor-load-balancer.md

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ms.service: load-balancer
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ms.date: 11/16/2022
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ms.date: 12/04/2023
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ms.devlang: azurecli
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ms.custom: template-how-to, subject-monitoring, engagement-fy23, devx-track-azurecli, devx-track-azurepowershell
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## Load balancer insights
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Some services in Azure have a special focused pre-built monitoring dashboard in the Azure portal that provides a starting point for monitoring your service. These special dashboards are called "insights".
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Some services in Azure have a special focused prebuilt monitoring dashboard in the Azure portal that provides a starting point for monitoring your service. These special dashboards are called "insights".
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Load Balancer insights provide:
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Azure Monitor alerts proactively notify you when important conditions are found in your monitoring data. They allow you to identify and address issues in your system before your customers notice them. You can set alerts on [metrics](../azure-monitor/alerts/alerts-metric-overview.md), [logs](../azure-monitor/alerts/alerts-unified-log.md), and the [activity log](../azure-monitor/alerts/activity-log-alerts.md). Different types of alerts have benefits and drawbacks
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If you're creating or running an application, which run on Load Balancer [Azure Monitor Application Insights](../azure-monitor/app/app-insights-overview.md) may offer other types of alerts.
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If you're creating or running an application that runs on Load Balancer, [Azure Monitor Application Insights](../azure-monitor/app/app-insights-overview.md) offers other types of alerts.
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The following table lists common and recommended alert rules for Load Balancer.

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