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The Autometrics Stack is an open-source application observability stack focused on simple instrumentation, metrics, and alerting.
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The Autometrics Stack contains the following components:
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- Autometrics libraries for instrumenting code
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-[OpenTelemetry](https://opentelemetry.io/) - for underlying instrumentation (and optionally collecting)
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-[Prometheus](https://prometheus.io) + [Alertmanager](https://prometheus.io/docs/alerting/latest/alertmanager/) for metrics storage, querying, and alerting
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- Explorer for visualizing Autometrics data
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- Slack Application for better alert workflows between Prometheus and Slack
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Each of these components can be easily adopted and deployed to a hosting option of your choice (components are available as Docker images for ease of use):
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Autometrics is built on the excellent Prometheus and OpenTelemetry open source projects.
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### Demo
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## Demo
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Here's a simple overview video for Autometrics
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<p>
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<video
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## Getting started
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You can start working with Autometrics as early as the first lines of your code and it can take you as far as alerting about issues in your team's Slack workspace. Here are the basic steps to get you started:
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<Steps>
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### Install the library
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Autometrics is currently available in Rust, JavaScript/TypeScript, and
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Python, Go. To get started, follow the instructions for each language:
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Autometrics libraries export metrics in a Prometheus-compatible format. In order to store and query them you can deploy a Prometheus server in your stack
Autometrics Explorer is a special interface that connects with your Prometheus and helps you analyze your Autometrics-generated data more easily. It is a simple client app available at explorer.autometrics.dev or deployable as a Docker image as well.
Finally, Autometrics includes a special-built Slack application that connects with your Prometheus Alertmanager and offers a simple workflow for monitoring and responding to alerts.
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