Commit b94dac6a authored by Russell Dickenson's avatar Russell Dickenson

Merge branch 'jeromezng-revamp-telemetry-docs' into 'master'

Revamp telemetry docs

See merge request gitlab-org/gitlab!32352
parents f03fae20 3de51f73
......@@ -187,10 +187,11 @@ Complementary reads:
## Telemetry guides
- [Introduction](../telemetry/index.md)
- [Snowplow tracking guide](../telemetry/snowplow.md)
- [Telemetry guide](telemetry/index.md)
- [Usage Ping guide](telemetry/usage_ping.md)
- [Snowplow guide](telemetry/snowplow.md)
## Experiment Guide
## Experiment guide
- [Introduction](experiment_guide/index.md)
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......@@ -54,7 +54,7 @@ The author then adds a comment to this piece of code and adds a link to the issu
end
```
- Track necessary events. See the [telemetry guide](../../telemetry/index.md) for details.
- Track necessary events. See the [telemetry guide](../telemetry/index.md) for details.
- After the merge request is merged, use [`chatops`](../../ci/chatops/README.md) in the
[appropriate channel](../feature_flags/controls.md#communicate-the-change) to start the experiment for 10% of the users.
The feature flag should have the name of the experiment with the `_experiment_percentage` suffix appended.
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......@@ -5,7 +5,7 @@ blocks of Ruby code. Method instrumentation is the primary form of
instrumentation with block-based instrumentation only being used when we want to
drill down to specific regions of code within a method.
Please refer to [Telemetry](../telemetry/index.md) if you are tracking product usage patterns.
Please refer to [Telemetry](telemetry/index.md) if you are tracking product usage patterns.
## Instrumenting Methods
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# Event tracking
---
redirect_to: '../development/telemetry/index.md'
---
At GitLab, we encourage event tracking so we can iterate on and improve the project and user experience.
We do this by running experiments, and collecting analytics for features and feature variations. This is:
- So we generally know engagement.
- A way to approach A/B testing.
As developers, we should attempt to add tracking and instrumentation where possible. This enables the Product team to better understand:
- User engagement.
- Usage patterns.
- Other metrics that can potentially be improved on.
To maintain consistency and not adversely effect performance, we have some basic tracking functionality exposed at both the frontend and backend layers that can be utilized while building new features or updating existing features.
We also encourage users to enable tracking, and we embrace full transparency with our tracking approach so it can be easily understood and trusted. By enabling tracking, users can:
- Contribute back to the wider community.
- Help GitLab improve on the product.
## Implementing tracking
Event tracking can be implemented on either the frontend or the backend layers, and each can be approached slightly differently since they have slightly different concerns.
In GitLab, many actions can be initiated via the web interface, but they can also be initiated via an API client (an iOS applications is a good example of this), or via `git` directly. Crucially, this means that tracking should be considered holistically for the feature that's being instrumented.
The data team should be involved when defining analytics and can be consulted when coming up with ways of presenting data that's being tracked. This allows our event data to be considered carefully and presented in ways that may reveal details about user engagement that may not be fully understood or interactions where we can make improvements. You can [contact the data team](https://about.gitlab.com/handbook/business-ops/data-team/#contact-us) and consult with them when defining tracking strategies.
### Frontend
Generally speaking, the frontend can track user actions and events, like:
- Clicking links or buttons.
- Submitting forms.
- Other typically interface-driven actions.
### Backend
From the backend, the events that are tracked will likely consist of things like the creation or deletion of records and other events that might be triggered from layers that aren't necessarily only available in the interface.
Also, see [Instrumenting Ruby code](../development/instrumentation.md) if you are instrumenting application performance metrics for Ruby code.
## Enabling tracking
Tracking can be enabled at:
- The instance level, which will enable tracking on both the frontend and backend layers.
- User level, though user tracking can be disabled on a per-user basis. GitLab tracking respects the [Do Not Track](https://www.eff.org/issues/do-not-track) standard, so any user who has enabled the Do Not Track option in their browser will also not be tracked from a user level.
We utilize Snowplow for the majority of our tracking strategy, and it can be enabled by navigating to:
- **Admin Area > Settings > Integrations** in the UI.
- `admin/application_settings/integrations` in your browser.
The following configuration is required:
| Name | Value |
| ------------- | ------------------------- |
| Collector | `snowplow.trx.gitlab.net` |
| Site ID | `gitlab` |
| Cookie domain | `.gitlab.com` |
Once enabled, tracking events can be inspected locally by either:
- Looking at the network panel of the browser's development tools
- Using the [Snowplow Chrome Extension](https://chrome.google.com/webstore/detail/snowplow-inspector/maplkdomeamdlngconidoefjpogkmljm).
This document was moved to [another location](../development/telemetry/index.md).
# Snowplow tracking guide
---
redirect_to: '../development/telemetry/index.md'
---
## Frontend tracking
GitLab provides `Tracking`, an interface that wraps the [Snowplow JavaScript Tracker](https://github.com/snowplow/snowplow/wiki/javascript-tracker) for tracking custom events. There are a few ways to utilize tracking, but each generally requires at minimum, a `category` and an `action`. Additional data can be provided that adheres to our [Feature instrumentation taxonomy](https://about.gitlab.com/handbook/product/feature-instrumentation/#taxonomy).
| field | type | default value | description |
|:-----------|:-------|:---------------------------|:------------|
| `category` | string | document.body.dataset.page | Page or subsection of a page that events are being captured within. |
| `action` | string | 'generic' | Action the user is taking. Clicks should be `click` and activations should be `activate`, so for example, focusing a form field would be `activate_form_input`, and clicking a button would be `click_button`. |
| `data` | object | {} | Additional data such as `label`, `property`, `value`, and `context` as described [in our Feature Instrumentation taxonomy](https://about.gitlab.com/handbook/product/feature-instrumentation/#taxonomy). |
### Tracking in HAML (or Vue Templates)
When working within HAML (or Vue templates) we can add `data-track-*` attributes to elements of interest. All elements that have a `data-track-event` attribute will automatically have event tracking bound on clicks.
Below is an example of `data-track-*` attributes assigned to a button:
```haml
%button.btn{ data: { track_event: "click_button", track_label: "template_preview", track_property: "my-template" } }
```
```html
<button class="btn"
data-track-event="click_button"
data-track-label="template_preview"
data-track-property="my-template"
/>
```
Event listeners are bound at the document level to handle click events on or within elements with these data attributes. This allows for them to be properly handled on rerendering and changes to the DOM, but it's important to know that because of the way these events are bound, click events shouldn't be stopped from propagating up the DOM tree. If for any reason click events are being stopped from propagating, you'll need to implement your own listeners and follow the instructions in [Tracking in raw JavaScript](#tracking-in-raw-javascript).
Below is a list of supported `data-track-*` attributes:
| attribute | required | description |
|:----------------------|:---------|:------------|
| `data-track-event` | true | Action the user is taking. Clicks must be prepended with `click` and activations must be prepended with `activate`. For example, focusing a form field would be `activate_form_input` and clicking a button would be `click_button`. |
| `data-track-label` | false | The `label` as described [in our Feature Instrumentation taxonomy](https://about.gitlab.com/handbook/product/feature-instrumentation/#taxonomy). |
| `data-track-property` | false | The `property` as described [in our Feature Instrumentation taxonomy](https://about.gitlab.com/handbook/product/feature-instrumentation/#taxonomy). |
| `data-track-value` | false | The `value` as described [in our Feature Instrumentation taxonomy](https://about.gitlab.com/handbook/product/feature-instrumentation/#taxonomy). If omitted, this will be the elements `value` property or an empty string. For checkboxes, the default value will be the element's checked attribute or `false` when unchecked. |
| `data-track-context` | false | The `context` as described [in our Feature Instrumentation taxonomy](https://about.gitlab.com/handbook/product/feature-instrumentation/#taxonomy). |
### Tracking within Vue components
There's a tracking Vue mixin that can be used in components if more complex tracking is required. To use it, first import the `Tracking` library and request a mixin.
```javascript
import Tracking from '~/tracking';
const trackingMixin = Tracking.mixin({ label: 'right_sidebar' });
```
You can provide default options that will be passed along whenever an event is tracked from within your component. For instance, if all events within a component should be tracked with a given `label`, you can provide one at this time. Available defaults are `category`, `label`, `property`, and `value`. If no category is specified, `document.body.dataset.page` is used as the default.
You can then use the mixin normally in your component with the `mixin`, Vue declaration. The mixin also provides the ability to specify tracking options in `data` or `computed`. These will override any defaults and allows the values to be dynamic from props, or based on state.
```javascript
export default {
mixins: [trackingMixin],
// ...[component implementation]...
data() {
return {
expanded: false,
tracking: {
label: 'left_sidebar'
}
};
},
}
```
The mixin provides a `track` method that can be called within the template, or from component methods. An example of the whole implementation might look like the following.
```javascript
export default {
mixins: [Tracking.mixin({ label: 'right_sidebar' })],
data() {
return {
expanded: false,
};
},
methods: {
toggle() {
this.expanded = !this.expanded;
this.track('click_toggle', { value: this.expanded })
}
}
};
```
And if needed within the template, you can use the `track` method directly as well.
```html
<template>
<div>
<a class="toggle" @click.prevent="toggle">Toggle</a>
<div v-if="expanded">
<p>Hello world!</p>
<a @click.prevent="track('click_action')">Track an event</a>
</div>
</div>
</template>
```
### Tracking in raw JavaScript
Custom event tracking and instrumentation can be added by directly calling the `Tracking.event` static function. The following example demonstrates tracking a click on a button by calling `Tracking.event` manually.
```javascript
import Tracking from '~/tracking';
const button = document.getElementById('create_from_template_button');
button.addEventListener('click', () => {
Tracking.event('dashboard:projects:index', 'click_button', {
label: 'create_from_template',
property: 'template_preview',
value: 'rails',
});
})
```
### Tests and test helpers
In Jest particularly in vue tests, you can use the following:
```javascript
import { mockTracking } from 'helpers/tracking_helper';
describe('MyTracking', () => {
let spy;
beforeEach(() => {
spy = mockTracking('_category_', wrapper.element, jest.spyOn);
});
it('tracks an event when clicked on feedback', () => {
wrapper.find('.discover-feedback-icon').trigger('click');
expect(spy).toHaveBeenCalledWith('_category_', 'click_button', {
label: 'security-discover-feedback-cta',
property: '0',
});
});
});
```
In obsolete Karma tests it's used as below:
```javascript
import { mockTracking, triggerEvent } from 'spec/helpers/tracking_helper';
describe('my component', () => {
let trackingSpy;
beforeEach(() => {
trackingSpy = mockTracking('_category_', vm.$el, spyOn);
});
const triggerEvent = () => {
// action which should trigger a event
};
it('tracks an event when toggled', () => {
expect(trackingSpy).not.toHaveBeenCalled();
triggerEvent('a.toggle');
expect(trackingSpy).toHaveBeenCalledWith('_category_', 'click_edit_button', {
label: 'right_sidebar',
property: 'confidentiality',
});
});
});
```
## Backend tracking
GitLab provides `Gitlab::Tracking`, an interface that wraps the [Snowplow Ruby Tracker](https://github.com/snowplow/snowplow/wiki/ruby-tracker) for tracking custom events.
### Tracking in Ruby
Custom event tracking and instrumentation can be added by directly calling the `GitLab::Tracking.event` class method, which accepts the following arguments:
| argument | type | default value | description |
|:-----------|:-------|:---------------------------|:------------|
| `category` | string | 'application' | Area or aspect of the application. This could be `HealthCheckController` or `Lfs::FileTransformer` for instance. |
| `action` | string | 'generic' | The action being taken, which can be anything from a controller action like `create` to something like an Active Record callback. |
| `data` | object | {} | Additional data such as `label`, `property`, `value`, and `context` as described [in our Feature Instrumentation taxonomy](https://about.gitlab.com/handbook/product/feature-instrumentation/#taxonomy). These will be set as empty strings if you don't provide them. |
Tracking can be viewed as either tracking user behavior, or can be utilized for instrumentation to monitor and visual performance over time in an area or aspect of code.
For example:
```ruby
class Projects::CreateService < BaseService
def execute
project = Project.create(params)
Gitlab::Tracking.event('Projects::CreateService', 'create_project',
label: project.errors.full_messages.to_sentence,
value: project.valid?
)
end
end
```
### Performance
We use the [AsyncEmitter](https://github.com/snowplow/snowplow/wiki/Ruby-Tracker#52-the-asyncemitter-class) when tracking events, which allows for instrumentation calls to be run in a background thread. This is still an active area of development.
This document was moved to [another location](../development/telemetry/index.md).
......@@ -35,7 +35,7 @@ Access the default page for admin area settings by navigating to
| [PlantUML](../../../administration/integration/plantuml.md#gitlab) | Allow rendering of PlantUML diagrams in Asciidoc documents. |
| [Slack application](../../../user/project/integrations/gitlab_slack_application.md#configuration) **(FREE ONLY)** | Slack integration allows you to interact with GitLab via slash commands in a chat window. This option is only available on GitLab.com, though it may be [available for self-managed instances in the future](https://gitlab.com/gitlab-org/gitlab/-/issues/28164). |
| [Third party offers](third_party_offers.md) | Control the display of third party offers. |
| [Snowplow](../../../telemetry/index.md#enabling-tracking) | Configure the Snowplow integration. |
| [Snowplow](../../../development/telemetry/snowplow.md) | Configure the Snowplow integration. |
| [Google GKE](../../project/clusters/add_gke_clusters.md) | Google GKE integration allows you to provision GKE clusters from GitLab. |
| [Amazon EKS](../../project/clusters/add_eks_clusters.md) | Amazon EKS integration allows you to provision EKS clusters from GitLab. |
......
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