Log Analytics agent overview
This article provides a detailed overview of the Log Analytics agent and the agent's system and network requirements and deployment methods.
Important
The legacy Log Analytics agent is deprecated as of August 31, 2024. Azure will no longer provide any support for the Log Analytics agent. If you use the Log Analytics agent to ingest data to Azure Monitor, migrate now to Azure Monitor agent.
You might also see the Log Analytics agent referred to as Microsoft Monitoring Agent (MMA).
Primary scenarios
Use the Log Analytics agent if you need to:
- Collect logs and performance data from Azure virtual machines or hybrid machines hosted outside of Azure.
- Send data to a Log Analytics workspace to take advantage of features supported by Azure Monitor Logs, such as log queries.
- Manage the security of your machines by using Microsoft Defender for Cloud or Microsoft Sentinel.
- Use Azure Automation Update Management, or Azure Automation State Configuration to deliver comprehensive management of your Azure and non-Azure machines.
- Use different solutions to monitor a particular service or application.
Limitations of the Log Analytics agent:
- Can't send data to Azure Monitor Metrics, Azure Storage, or Azure Event Hubs.
- Difficult to configure unique monitoring definitions for individual agents.
- Difficult to manage at scale because each virtual machine has a unique configuration.
Comparison to other agents
For a comparison between the Log Analytics and other agents in Azure Monitor, see Overview of Azure Monitor agents.
Supported operating systems
For a list of the Windows and Linux operating system versions that are supported by the Log Analytics agent, see Supported operating systems.
Installation options
This section explains how to install the Log Analytics agent on different types of virtual machines and connect the machines to Azure Monitor.
Important
The legacy Log Analytics agent is deprecated as of August 31, 2024. Azure will no longer provide any support for the Log Analytics agent. If you use the Log Analytics agent to ingest data to Azure Monitor, migrate now to Azure Monitor agent.
Note
Cloning a machine with the Log Analytics Agent already configured is not supported. If the agent is already associated with a workspace, cloning won't work for "golden images."
Azure virtual machine
- Log Analytics VM extension for Windows or Linux can be installed with the Azure portal, Azure CLI, Azure PowerShell, or an Azure Resource Manager template.
- Microsoft Defender for Cloud can provision the Log Analytics agent on all supported Azure VMs and any new ones that are created if you enable it to monitor for security vulnerabilities and threats.
- Connect the machine to a workspace from the Virtual machines (deprecated) option in the Log Analytics workspaces menu in the Azure portal.
Windows virtual machine on-premises or in another cloud
- Use Azure Arc-enabled servers to deploy and manage the Log Analytics VM extension. Review the deployment options to understand the different deployment methods available for the extension on machines registered with Azure Arc-enabled servers.
- Manually install the agent from the command line.
- Automate the installation with Azure Automation DSC.
- Use a Resource Manager template with Azure Stack.
Linux virtual machine on-premises or in another cloud
- Use Azure Arc-enabled servers to deploy and manage the Log Analytics VM extension. Review the deployment options to understand the different deployment methods available for the extension on machines registered with Azure Arc-enabled servers.
- Manually install the agent calling a wrapper-script hosted on GitHub.
Data collected
The following table lists the types of data you can configure a Log Analytics workspace to collect from all connected agents.
Data Source | Description |
---|---|
Windows Event logs | Information sent to the Windows event logging system |
Syslog | Information sent to the Linux event logging system |
Performance | Numerical values measuring performance of different aspects of operating system and workloads |
IIS logs | Usage information for IIS websites running on the guest operating system |
Custom logs | Events from text files on both Windows and Linux computers |
Other services
The agent for Linux and Windows isn't only for connecting to Azure Monitor. Other services such as Microsoft Defender for Cloud and Microsoft Sentinel rely on the agent and its connected Log Analytics workspace. The agent also supports Azure Automation to host the Hybrid Runbook Worker role and other services such as Update Management, and Microsoft Defender for Cloud. For more information about the Hybrid Runbook Worker role, see Azure Automation Hybrid Runbook Worker.
Workspace and management group limitations
- Windows agents can connect to up to four workspaces.
- The Linux agent doesn't support multi-homing and can only connect to a single workspace or management group.
Security limitations
The Windows and Linux agents support the FIPS 140 standard, but other types of hardening might not be supported.
TLS protocol
To ensure the security of data in transit to Azure Monitor logs, we strongly encourage you to configure the agent to use at least Transport Layer Security (TLS) 1.2. Older versions of TLS/Secure Sockets Layer (SSL) have been found to be vulnerable. Although they still currently work to allow backward compatibility, they are not recommended. For more information, see Sending data securely using TLS.
Network requirements
The agent for Linux and Windows communicates outbound to the Azure Monitor service over TCP port 443. If the machine connects through a firewall or proxy server to communicate over the internet, review the following requirements to understand the network configuration required. If your IT security policies do not allow computers on the network to connect to the internet, set up a Log Analytics gateway and configure the agent to connect through the gateway to Azure Monitor. The agent can then receive configuration information and send data collected.
The following table lists the proxy and firewall configuration information required for the Linux and Windows agents to communicate with Azure Monitor logs.
Firewall requirements
Agent Resource | Ports | Direction | Bypass HTTPS inspection |
---|---|---|---|
*.ods.opinsights.azure.cn | Port 443 | Outbound | Yes |
*.oms.opinsights.azure.cn | Port 443 | Outbound | Yes |
*.blob.core.chinacloudapi.cn | Port 443 | Outbound | Yes |
*.azure-automation.cn | Port 443 | Outbound | Yes |
Important
If your firewall is doing CNAME inspections, you need to configure it to allow all domains in the CNAME.
If you plan to use the Azure Automation Hybrid Runbook Worker to connect to and register with the Automation service to use runbooks or management features in your environment, it must have access to the port number and the URLs described in Configure your network for the Hybrid Runbook Worker.
Proxy configuration
The Windows and Linux agent supports communicating either through a proxy server or Log Analytics gateway to Azure Monitor by using the HTTPS protocol. Both anonymous and basic authentication (username/password) are supported.
For the Windows agent connected directly to the service, the proxy configuration is specified during installation or after deployment from Control Panel or with PowerShell. Log Analytics Agent (MMA) doesn't use the system proxy settings. As a result, the user has to pass the proxy setting while installing MMA. These settings will be stored under MMA configuration (registry) on the virtual machine.
For the Linux agent, the proxy server is specified during installation or after installation by modifying the proxy.conf configuration file. The Linux agent proxy configuration value has the following syntax:
[protocol://][user:password@]proxyhost[:port]
Property | Description |
---|---|
Protocol | https |
user | Optional username for proxy authentication |
password | Optional password for proxy authentication |
proxyhost | Address or FQDN of the proxy server/Log Analytics gateway |
port | Optional port number for the proxy server/Log Analytics gateway |
For example:
https://user01:password@proxy01.contoso.com:30443
Note
If you use special characters such as "@" in your password, you'll receive a proxy connection error because the value is parsed incorrectly. To work around this issue, encode the password in the URL by using a tool like URLDecode.
Next steps
- Review data sources to understand the data sources available to collect data from your Windows or Linux system.
- Learn about log queries to analyze the data collected from data sources and solutions.
- Learn about monitoring solutions that add functionality to Azure Monitor and also collect data into the Log Analytics workspace.