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apps/hex.mdx

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@@ -14,7 +14,6 @@ Hex is a powerful collaborative data platform that allows you to create notebook
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This page explains how to integrate Hex with Axiom to visualize geospatial data from your logs. You ingest location data into Axiom, query it using APL, and create interactive map visualizations in Hex.
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<Prerequisites />
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{/* list separator */}
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- [Create a Hex account](https://app.hex.tech/).
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## Send geospatial data to Axiom

apps/tailscale.mdx

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Integrating Axiom with Tailscale allows you to stream your audit and network flow logs directly to Axiom seamlessly, unlocking powerful insights and analysis. Whether you’re conducting a security audit, optimizing performance, or ensuring compliance, Axiom’s Tailscale dashboard equips you with the tools to maintain a secure and efficient network, respond quickly to potential issues, and make informed decisions about your network configuration and usage.
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<Prerequisites />
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- [Create a Tailscale account](https://login.tailscale.com/start).
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## Setup

dashboard-elements/monitor-list.mdx

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The monitor list dashboard element provides a visual overview of the monitors you specify. It offers a quick glance into important developments about the monitors such as their status and history.
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<Prerequisites />
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- [Create a monitor](/monitor-data/monitors).
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## Create monitor list

guides/opentelemetry-cloudflare-workers.mdx

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This guide demonstrates how to configure OpenTelemetry in Cloudflare Workers to send telemetry data to Axiom using the [OTel CF Worker package](https://github.com/evanderkoogh/otel-cf-workers).
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<Prerequisites />
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- Create a Cloudflare account.
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- [Install Wrangler](https://developers.cloudflare.com/workers/wrangler/install-and-update/), the CLI tool for Cloudflare.
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guides/opentelemetry-django.mdx

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import ReplaceDomain from "/snippets/replace-domain.mdx"
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<Prerequisites />
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- [Install Python version 3.7 or higher](https://www.python.org/downloads/).
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## Install required dependencies

guides/opentelemetry-dotnet.mdx

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OpenTelemetry provides a [unified approach to collecting telemetry data](https://opentelemetry.io/docs/languages/net/) from your .NET applications. This guide explains how to configure OpenTelemetry in a .NET application to send telemetry data to Axiom using the OpenTelemetry SDK.
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<Prerequisites />
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- Install the .NET 6.0 SDK on your development machine.
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- Use your existing .NET application or start with the sample provided in the `program.cs` below.
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guides/opentelemetry-java.mdx

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OpenTelemetry provides a unified approach to collecting telemetry data from your Java applications. This page demonstrates how to configure OpenTelemetry in a Java app to send telemetry data to Axiom using the OpenTelemetry SDK.
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<Prerequisites />
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- [Install JDK 11](https://www.oracle.com/java/technologies/java-se-glance.html) or later
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- [Install Maven](https://maven.apache.org/download.cgi)
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- Use your own app written in Java or the provided `DiceRollerApp.java` sample.

guides/opentelemetry-python.mdx

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## Prerequisites
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<Prerequisites />
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- Install Python version 3.7 or higher.
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## Install required dependencies

guides/opentelemetry-ruby.mdx

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This guide provides detailed steps on how to configure OpenTelemetry in a Ruby application to send telemetry data to Axiom using the [OpenTelemetry Ruby SDK](https://opentelemetry.io/docs/languages/ruby/).
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<Prerequisites />
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- Install a [Ruby version manager](https://www.ruby-lang.org/en/documentation/installation/) like `rbenv` and use it to install the latest Ruby version.
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- Install [Rails](https://guides.rubyonrails.org/v5.0/getting_started.html) using the `gem install rails` command.
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guides/send-logs-from-apache-log4j.mdx

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Log4j is a Java logging framework developed by the Apache Software Foundation and widely used in the Java community. This page covers how to get started with Log4j, configure it to forward log messages to Fluentd, and send logs to Axiom.
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<Prerequisites />
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- [Install JDK 11](https://www.oracle.com/java/technologies/java-se-glance.html) or later
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- [Install Maven](https://maven.apache.org/download.cgi)
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- [Install Fluentd](https://www.fluentd.org/download)

guides/send-logs-from-dotnet.mdx

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import ReplaceDomain from "/snippets/replace-domain.mdx"
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<Prerequisites />
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- [Install the .NET SDK](https://dotnet.microsoft.com/download).
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## Option 1: Using HTTP Client

guides/send-logs-from-laravel.mdx

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This guide explains integrating Axiom as a logging solution in a Laravel app. Using Axiom’s capabilities with a custom log channel, you can efficiently send your app’s logs to Axiom for storage, analysis, and monitoring. This integration uses Monolog, Laravel’s underlying logging library, to create a custom logging handler that forwards logs to Axiom.
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<Prerequisites />
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- PHP development [environment](https://www.php.net/manual/en/install.php)
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- [Composer](https://laravel.com/docs/11.x/installation) installed on your system
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- Laravel app setup

guides/send-logs-from-ruby-on-rails.mdx

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This guide provides step-by-step instructions on how to send logs from a Ruby on Rails application to Axiom using the Faraday library. By following this guide, you configure your Rails app to send logs to Axiom, allowing you to monitor and analyze your application logs effectively.
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<Prerequisites />
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- Install a [Ruby version manager](https://www.ruby-lang.org/en/documentation/installation/) like `rbenv` and use it to install the latest Ruby version.
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- Install [Ruby on Rails](https://guides.rubyonrails.org/v5.0/getting_started.html) using the `gem install rails` command.
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process-data/flows.mdx

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A flow is a way to filter, shape, and route data from an Axiom dataset to a destination that you choose. This page explains how to set up a flow.
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<Prerequisites />
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- Set up a destination. For more information, see [Destinations](/process-data/destinations).
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## Set up a flow configuration

query-data/annotate-charts.mdx

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This adds context to the trends displayed in your charts and makes it easier to investigate issues in your app or system.
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<Prerequisites />
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- [Send data](/send-data/ingest) to your Axiom dataset.
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- [Create an API token in Axiom](/reference/tokens) with permissions to create, read, update, and delete annotations.
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send-data/aws-firehose.mdx

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<AwsDisclaimer />
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- [Create an account on AWS Cloud](https://signin.aws.amazon.com/signup?request_type=register).
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## Setup

send-data/aws-iot-rules.mdx

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- Create an AWS account with permissions to create and manage IoT rules, Lambda functions, and IAM roles.
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## Create AWS Lambda function

send-data/aws-lambda.mdx

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<Accordion title="Example with plain Terraform code">
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<Info>
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<Info>
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<Info>
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send-data/aws-s3.mdx

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send-data/cloudfront.mdx

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send-data/cloudwatch.mdx

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send-data/convex.mdx

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send-data/fluent-bit.mdx

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send-data/logstash.mdx

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Logstash sits between your data and where you want to keep it.
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send-data/nextjs.mdx

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send-data/react.mdx

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send-data/render.mdx

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send-data/vector.mdx

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Any changes to Vector’s `file` method can make the code example above outdated. If this happens, please refer to the [official Vector documentation on the `file` method](https://vector.dev/docs/reference/configuration/sources/file/), and we kindly ask you to inform us of the issue using the feedback tool at the bottom of this page.

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