OMS-Agent-for-Linux | Log Analytics agent for Linux | Monitoring library

 by   microsoft Ruby Version: OMSAgent_v1.14.23-0 License: Non-SPDX

kandi X-RAY | OMS-Agent-for-Linux Summary

kandi X-RAY | OMS-Agent-for-Linux Summary

OMS-Agent-for-Linux is a Ruby library typically used in Performance Management, Monitoring applications. OMS-Agent-for-Linux has no bugs, it has no vulnerabilities and it has low support. However OMS-Agent-for-Linux has a Non-SPDX License. You can download it from GitHub.

Welcome to the Log Analytics agent for Linux! The agent for Linux enables rich and real-time analytics for operational data (Syslog, performance, alerts, inventory) from Linux servers, Docker containers and monitoring tools like Nagios, Zabbix and System Center.
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              OMS-Agent-for-Linux has a low active ecosystem.
              It has 389 star(s) with 330 fork(s). There are 95 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 205 open issues and 247 have been closed. On average issues are closed in 219 days. There are 26 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of OMS-Agent-for-Linux is OMSAgent_v1.14.23-0

            kandi-Quality Quality

              OMS-Agent-for-Linux has no bugs reported.

            kandi-Security Security

              OMS-Agent-for-Linux has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              OMS-Agent-for-Linux has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              OMS-Agent-for-Linux releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed OMS-Agent-for-Linux and discovered the below as its top functions. This is intended to give you an instant insight into OMS-Agent-for-Linux implemented functionality, and help decide if they suit your requirements.
            • Transforms data to a record
            • Waits for a job to finish .
            • Initialize the agent server
            • Process data from the log
            • Parses the alerts of an alert value .
            • Returns an array of alerts
            • Transforms data into the collection
            • Overrides the list of files for the given directory
            • Parse the line information
            • Fetches the data for a user s data based on the user s data from the data hash
            Get all kandi verified functions for this library.

            OMS-Agent-for-Linux Key Features

            No Key Features are available at this moment for OMS-Agent-for-Linux.

            OMS-Agent-for-Linux Examples and Code Snippets

            No Code Snippets are available at this moment for OMS-Agent-for-Linux.

            Community Discussions

            Trending Discussions on OMS-Agent-for-Linux

            QUESTION

            Getting on-prem Docker logs to Azure log analytics
            Asked 2019-Jun-26 at 06:18

            I'm working in a hybrid cloud environment where we have the majority of our infrastructure in Azure, but we have some on premises machines that we also want to monitor and aggregate their log data into the same log analytics workspace.

            I've successfully installed the OMS Agent for Linux and I can see that at least performance metrics and heartbeat is being collected from our local machine after following this guide. However, I can't find any guidance on how to get logs from Docker containers from on-prem to cloud.

            On the on-prem machines we are running Docker, no clusters. We have some IoT Edge modules that are being managed and deployed through the IoT Hub, although I guess it is the same procedure to collect these logs since it is still Docker.

            How should I got about getting my Docker logs to log analytics using the OMS agent? Is the OMS agent what I need?

            ...

            ANSWER

            Answered 2019-Jun-26 at 06:18

            It was my own error. When I reinstalled the agent I could see in the logs that the Docker version was too old for the agent to handle, so it was skipped. Updated Docker and it works.

            Source https://stackoverflow.com/questions/56750029

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install OMS-Agent-for-Linux

            The following steps configure setup of the Log Analytics agent in Azure and Azure Government cloud. Commands are for 64-bit. Before installing the Log Analytics agent for Linux, you need the workspace ID and key for your Azure Monitor Log Analytics workspace. To configure the Linux computer to connect to an Azure Monitor Log Analytics workspace, run the following command providing the workspace ID and primary key copied earlier. The following command downloads the agent, validates its checksum, and installs it.
            In the Azure portal, click All services found in the upper left-hand corner. In the list of resources, type Log Analytics. As you begin typing, the list filters based on your input. Select Log Analytics.
            In your list of Log Analytics workspaces, select the workspace.
            Select Advanced settings from the left hand pane.
            Select Connected Sources, and then select Linux Servers.
            The value to the right of Workspace ID and Primary Key. Copy and paste both into your favorite editor.
            If you are an Azure customer, we have an Azure VM extension that allows you to easily onboard to Azure Monitor Log Analytics workspace.
            Log Analytics Agent for Linux Azure VM extension documentation
            Azure Video walkthrough

            Support

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