You can select the signal from the available signals for the target and define the logic test that will be applied to the data from the signal. For example, for a virtual machine, you can use the Percentage CPU metric to generate an alert based on a custom threshold for CPU usage, as shown in…
Author: zeusexam
Save a query to the dashboard
Save a query to the dashboard In addition to sample queries, you can browse the schema for the currently selected work- space. This is useful for determining the proper case for table and column names because KQL is a case-sensitive query language. You can save authored queries for later or mark them as favorites so…
Query and analyze logs in Azure Monitor
Query and analyze logs in Azure Monitor As mentioned earlier, Azure Monitor stores and surfaces two types of data: metrics and logs. Metrics are numerical values such as performance counters, whereas logs can be either numerical data or text. For instance, the full text of an exception that is raised in an application or even…
Configure diagnostic settings
Configure diagnostic settings While the resources you deploy in Azure create metrics automatically, many of them also offer richer diagnostics logs, which can be configured to send their log data to another location, such as a storage account or a Log Analytics workspace. In addition to resource logs, there are also tenant-level services, such as…
Configure log settings in Azure Monitor
Configure log settings in Azure Monitor Log Analytics helps you collect, correlate, search, and act on log and performance data generated by operating systems, applications, and Azure services. It gives you operational insights using rich search and visualizations. Log Analytics provides a single pane of glass for interact- ing with the data from the entire…
Interpret metrics in Azure Monitor
Interpret metrics in Azure Monitor Recall that metrics are the numerical values that are output by resources and services within Azure. Metrics are available for a number of Azure resources, but not all resources support metrics at this time. Metrics includes platform metrics, which are created by Azure resources and made available in Azure Monitor…
Monitor resources in Azure
Skill 5.1: Monitor resources in Azure Azure Monitor maximizes the availability and performance of your applications by delivering a comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments. It helps you understand how your applications are perform- ing and proactively identifies issues affecting them and the resources on which…
Configure an Azure load balancer
Configure an Azure load balancer As discussed earlier, both internal and public load balancers involve the coordinated configu- ration of several groups of settings. These settings work together to define the overall load balancer behavior. To use Azure Load Balancer, the administrator must first provision the resource, which includes the frontend IP configuration. After this…
Configure load balancing rules
Configure load balancing rules Load-balancing rules are used to connect the frontend IP configuration to the back-end server pool, and to a health probe. With Azure Load Balancer, there are no separate back-end HTTP settings configuration; any additional HTTP settings are defined directly within the load- balancing rule itself. These include frontend and back-end ports,…
BACK-END CONFIGURATION
BACK-END CONFIGURATION The back-end pool defines the back-end servers over which the load balancer will distribute incoming traffic. When using a Basic-tier load balancer, this back-end pool must comprise either a single vir- tual machine, virtual machines in the same availability set, or a VM scale set. If using a VM scale set, traffic will…