Skip to content

Commit 2d5c3ee

Browse files
committed
minor fixes
1 parent fdd1ae1 commit 2d5c3ee

File tree

1 file changed

+5
-5
lines changed

1 file changed

+5
-5
lines changed

articles/azure-monitor/best-practices-multicloud.md

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -11,21 +11,21 @@ ms.reviewer: bwren
1111
In addition to monitoring services and application in Azure, Azure Monitor can provide complete monitoring for your resources and applications running in other clouds including Amazon Web Services (AWS) and Google Cloud Platform (GCP). This article describes features of Azure Monitor that allow you to provide complete monitoring across your AWS and GCP environments.
1212

1313
## Virtual machines
14-
Using [Azure Arc-enabled servers](../azure-arc/servers/overview.md), [VM insights](vm/vminsights-overview.md) in Azure Monitor provides a consistent experience between both Azure virtual machines and your AWS EC2 or GCP VM instances. You can view your hybrid machines right alongside your Azure machines and onboard them using identical methods. This includes using standard Azure constructs such as Azure Policy and applying tags.
14+
[VM insights](vm/vminsights-overview.md) in Azure Monitor uses [Azure Arc-enabled Kubernetes](../azure-arc/servers/overview.md) to provide a consistent experience between both Azure virtual machines and your AWS EC2 or GCP VM instances. You can view your hybrid machines right alongside your Azure machines and onboard them using identical methods. This includes using standard Azure constructs such as Azure Policy and applying tags.
1515

1616
The [Azure Monitor agent](agents/agents-overview.md) installed by VM insights collects telemetry from the client operating system of virtual machines regardless of their location. Use the same [data collection rules](essentials/data-collection-rule-overview.md) that define your data collection across all of the virtual machines across your different cloud environments.
1717

1818
- [Plan and deploy Azure Arc-enabled servers](../azure-arc/servers/plan-at-scale-deployment.md)
1919
- [Manage Azure Monitor Agent](agents/azure-monitor-agent-manage.md)
2020
- [Enable VM insights overview](vm/vminsights-enable-overview.md)
2121

22-
If you use Defender for Cloud for cloud security management and threat detection, then you can use auto provisioning to automate the deployment of the Azure Arc agent to your AWS EC2 and GCP VM instances.
22+
If you use Defender for Cloud for security management and threat detection, then you can use auto provisioning to automate the deployment of the Azure Arc agent to your AWS EC2 and GCP VM instances.
2323

2424
- [Connect your AWS accounts to Microsoft Defender for Cloud](../defender-for-cloud/quickstart-onboard-aws.md)
2525
- [Connect your GCP projects to Microsoft Defender for Cloud](../defender-for-cloud/quickstart-onboard-gcp.md)
2626

2727
## Containers
28-
Using [Azure Arc-enabled Kubernetes](../azure-arc/servers/overview.md), [Container insights](containers/container-insights-overview.md) in Azure Monitor provides a consistent experience between both [Azure Kubernetes Service (AKS)](../aks/intro-kubernetes.md) and Kubernetes clusters in your AWS EC2 or GCP VM instances. You can view your hybrid clusters right alongside your Azure machines and onboard them using identical methods. This includes using standard Azure constructs such as Azure Policy and applying tags.
28+
[Container insights](containers/container-insights-overview.md) in Azure Monitor uses [Azure Arc-enabled Kubernetes](../azure-arc/servers/overview.md) to provide a consistent experience between both [Azure Kubernetes Service (AKS)](../aks/intro-kubernetes.md) and Kubernetes clusters in your AWS EC2 or GCP VM instances. You can view your hybrid clusters right alongside your Azure machines and onboard them using identical methods. This includes using standard Azure constructs such as Azure Policy and applying tags.
2929

3030
The [Azure Monitor agent](agents/agents-overview.md) installed by Container insights collects telemetry from the client operating system of virtual machines regardless of their location. Use the same analysis tools on Container insights to monitor clusters across your different cloud environments.
3131

@@ -34,7 +34,7 @@ The [Azure Monitor agent](agents/agents-overview.md) installed by Container insi
3434
- [Monitoring Azure Kubernetes Service (AKS) with Azure Monitor](../aks/monitor-aks.md)
3535

3636
## Applications
37-
Application Insights in Azure Monitor is an extensible Application Performance Management (APM) service that provides telemetry insights and information in order to better understand how applications are performing and to identify areas for optimization. [Instrumentation methods](/app/app-insights-overview.md?tabs=net#how-do-i-instrument-an-application) are available for many languages and any platform, including ap[plications running in AWS and GCP.
37+
Application Insights in Azure Monitor is an extensible Application Performance Management (APM) service that provides telemetry insights and information in order to better understand how applications are performing and to identify areas for optimization. [Instrumentation methods](/app/app-insights-overview.md?tabs=net#how-do-i-instrument-an-application) are available for many languages and any platform, including applications running in AWS and GCP.
3838

3939
In addition to analysis tools in Application insights, use Azure Monitor features such as [Log Analytics](logs/log-analytics-overview.md) and [workbooks](visualize/workbooks-overview.md) to correlate the usage and performance data collected by Application Insights with configuration and performance data across the Azure resources that support the app.
4040

@@ -67,7 +67,7 @@ Use the following methods to collect data from your cloud resources that doesn't
6767
- Use Logstash to collect data and the [Azure Log Analytics output plugin for Logstash](https://github.com/Azure/Azure-Sentinel/tree/master/DataConnectors/microsoft-logstash-output-azure-loganalytics) to ingest it into a Log Analytics workspace.
6868

6969
## Automation
70-
[Azure Automation](../automation/overview.md) delivers cloud-based automation, operating system updates, and configuration services that supports consistent management across your Azure and non-Azure environments. It includes process automation, configuration management, update management, shared capabilities, and heterogeneous features. [Hybrid Runbook Worker](../automation/automation-hybrid-runbook-worker.md) enables automation runbooks to run directly on the non-Azure virtual machines against resources in the environment to manage those local resources.
70+
[Azure Automation](../automation/overview.md) delivers cloud-based automation, operating system updates, and configuration services that support consistent management across your Azure and non-Azure environments. It includes process automation, configuration management, update management, shared capabilities, and heterogeneous features. [Hybrid Runbook Worker](../automation/automation-hybrid-runbook-worker.md) enables automation runbooks to run directly on the non-Azure virtual machines against resources in the environment to manage those local resources.
7171

7272
Through [Arc-enabled servers](../azure-arc/servers/overview.md), Azure Automation provides a consistent deployment and management experience for your non-Azure machines. It enables integration with the Automation service using the VM extension framework to deploy the Hybrid Runbook Worker role, and simplify onboarding to Update Management and Change Tracking and Inventory.
7373

0 commit comments

Comments
 (0)