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Copy file name to clipboardExpand all lines: docs/configuration/runme-gist.md
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@@ -19,7 +19,7 @@ Runme Gist combines GitHub Gist with Runme capabilities to run, share, and store
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As stated earlier, Runme Gist combines GitHub Gist with Runme capabilities to enable you to securely run, share, and store code snippets. In this section, we will explain how Runme Gist works using a step-by-step guide.
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1. Open your Markdown File
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Create a `Readme.md` file and open it in your VS Code. If you already have the file you want to use, open it in VS Code.
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Create a `README.md` file and open it in your VS Code. If you already have the file you want to use, open it in VS Code.
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2. Run Cells
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Run your notebook cells, and ensure the [auto-save feature](../configuration/auto-save) is turned on to save your outputs without manual intervention.
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The Session Outputs feature is only available when the autosave is activated and the Runme cell is run.
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The Session Outputs feature is only available when the autosave is enabled and the Runme cell is run.
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4. Toggle Between Mask and Unmask
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You can decide if you want your session outputs to be masked or unmasked.
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The masked and unmasked options are how Runme keeps your sensitive information secret. If you want to keep your sensitive information secret, you should toggle the mask option otherwise, choose the unmasked option.
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By default, Runme uses the open-source dataguardian to mask sensitive information on a best-effort basis.
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Otherwise, Runme uses the open-source `data-guardian` library to mask sensitive information on a best-effort basis.
Copy file name to clipboardExpand all lines: docs/guide/monitoring-stack.md
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Most often, instructions which define setting up and configuration of monitoring stack procedures are set in multiple documents which can be overwhelming. This is where Runme comes in! Runme provides a platform that helps you document all the standardized processes needed to set up and configure your monitoring stack, centralizing your procedures and processes in an interactive runbook accessible to you and your team.
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With Runme, you create a set of predefined procedures and instructions for installing and configuring all dependencies needed for your monitoring stack, such as [Prometheus](https://prometheus.io/), [Grafana](https://grafana.com/), etc.
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With Runme, you create a set of predefined procedures and instructions for installing and configuring all dependencies needed for your monitoring stack, such as [Prometheus](https://prometheus.io/), [Grafana](https://grafana.com/) and others.
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In this guide, we will walk you through configuring a monitoring stack and creating a Runbook for your application setup and configuration using Runme.
To configure your node exporter, you must follow three steps.
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To configure your Node Exporter, you must follow three steps.
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Step One: Set Up Node Exporter as a Service
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open http://localhost:3000
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```
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## Install Alert Manager
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## Install Alertmanager
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An alert manager is a component of a monitoring stack that handles alerts sent by monitoring tools like Prometheus. It is responsible for grouping, deduplication, and routing alerts to the appropriate recipients. To install an alert manager and make it a part of your monitoring stack, navigate to the “[Install Alert Manager](https://github.com/stateful/blog-examples/blob/main/kubernetes/monitoring-stack/linux.md#install-alert-manager)” section in the cloned repository, enter the command in your Runme cell, and run it.
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An Alertmanager is a component of a monitoring stack that handles alerts sent by monitoring tools like Prometheus. It is responsible for grouping, deduplication, and routing alerts to the appropriate recipients. To install an Alertmanager and make it a part of your monitoring stack, navigate to the “[Install Alertmanager](https://github.com/stateful/blog-examples/blob/main/kubernetes/monitoring-stack/linux.md#install-alert-manager)” section in the cloned repository, enter the command in your Runme cell, and run it.
You can edit your `alertmanager.yml` file to define the alerting configurations, notification integrations, and routing rules. To do that, run this command in your Runme cell `nano /etc/alertmanager/alertmanager.yml`
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## Configure and Run Your Alert Manager
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## Configure and Run Your Alertmanager
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You will follow three steps to configure and run your alert manager.
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You will follow three steps to configure and run your Alertmanager.
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Step One: Set Up Alert Manager as a Service
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Create a `systemd` service file for Alertmanager, specify its description, user-startup command, and target for activation. To do this, navigate to the “[Setup Alert Manager as a Service](https://github.com/stateful/blog-examples/blob/main/kubernetes/monitoring-stack/linux.md#setup-alert-manager-as-a-service)” section, enter the command, and run it in your Runme cell.
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Step One: Set Up Alertmanager as a Service
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Create a `systemd` service file for Alertmanager, specify its description, user-startup command, and target for activation. To do this, navigate to the “[Setup Alertmanager as a Service](https://github.com/stateful/blog-examples/blob/main/kubernetes/monitoring-stack/linux.md#setup-alert-manager-as-a-service)” section, enter the command, and run it in your Runme cell.
Now, you can run your alert manager as a service. To do this, navigate to the “[Run Alert as a Service](https://github.com/stateful/blog-examples/blob/main/kubernetes/monitoring-stack/linux.md#run-alert-manager-as-a-service)” section, enter the command in your Runme cell, and run it.
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Step Two: Run Alertmanager as a Service
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Now, you can run your Alertmanager as a service. To do this, navigate to the “[Run Alert as a Service](https://github.com/stateful/blog-examples/blob/main/kubernetes/monitoring-stack/linux.md#run-alert-manager-as-a-service)” section, enter the command in your Runme cell, and run it.
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