Preview
In this use case, you'll
The main benefit is data normalization and becoming tool agnostic. As a result, Dynatrace Dashboards, Apps, and Workflows can build on SDLC events with well-defined properties rather than tool-specific details.
This information is intended for platform engineers who use GitLab in their Internal Development Platform (IDP).
In this tutorial, you'll learn how to
Install Dynatrace Configuration as Code via Monaco
Create an OAuth client for the Dynatrace Monaco CLI with the following permissions:
app-engine:apps:run
openpipeline:configurations:read
openpipeline:configurations:write
document:documents:write
document:documents:read
Store the retrieved client ID and secret as separate environment variables.
$env:OAUTH_CLIENT_ID='<YOUR_CLIENT_ID>'
$env:OAUTH_CLIENT_SECRET='<YOUR_CLIENT_SECRET>'
Clone the Dynatrace configuration as code sample repository using the following commands and move to the gitlab_pipeline_observability
directory.
git clone https://github.com/Dynatrace/dynatrace-configuration-as-code-samples.gitcd dynatrace-configuration-as-code-samples/gitlab_pipeline_observability
Edit the manifest.yaml
by exchanging the <YOUR-DT-ENV-ID>
placeholder with your Dynatrace environment ID at the name property and within the URL of the value property.
manifestVersion: 1.0projects:- name: pipeline_observabilityenvironmentGroups:- name: groupenvironments:- name: <YOUR-DT-ENV-ID>url:type: valuevalue: https://<YOUR-DT-ENV-ID>.apps.dynatrace.comauth:oAuth:clientId:name: OAUTH_CLIENT_IDclientSecret:name: OAUTH_CLIENT_SECRET
These steps modify the OpenPipeline configuration for SDLC events. If your OpenPipeline configuration contains only default/built-in values, you can directly apply the Monaco configuration. If you have any custom ingest sources, dynamic routes, or pipelines, you'll first need to download your configuration and manually merge it into the Monaco configuration.
Step 3 will indicate if a configuration merge is needed or if you can apply the provided configuration directly.
Go to Settings > Process and contextualize > OpenPipeline > Events > Software development lifecycle.
Check the Ingest sources, Dynamic routing, and Pipelines.
If the answer to one of those questions is "yes", follow the steps below. Otherwise, skip ahead to step 4.
Download your OpenPipeline configuration
monaco download -e <YOUR-DT-ENV-ID> --only-openpipeline
Open the following files:
download_<DATE>_<NUMBER>/project/openpipline/events.sdlc.json
.pipeline_observability/openpipline/events.sdlc.gitlab.json
.Merge the contents of events.sdlc.json
into events.sdlc.gitlab
.json, and then save the file.
Apply the Monaco configuration.
The configuration consists of
Dashboards to analyze GitLab activities.
OpenPipeline configuration to normalize GitLab events into SDLC events.
Run this command to apply the provided Monaco configuration.
monaco deploy manifest.yaml
To generate an access token:
You can only access your token once upon creation. You can't reveal it afterward.
Select these scopes:
openpipeline.events_sdlc
)openpipeline.events_sdlc.custom
)In GitLab, create the GitLab webhook with the following settings
Enter the URL of your placeholders for your Dynatrace environment ID <YOUR-DT-ENV-ID>
and access token <YOUR-ACCESS-TOKEN>
.
https://<YOUR-DT-ENV-ID>.live.dynatrace.com/platform/ingest/custom/events.sdlc/gitlab
You can enter an optional webhook name and description, but skip the Secret token setting since a custom header manages request validation.
In the Trigger section, select the following events to trigger the webhook.
Add custom header to your webhook with the name Authorization
and value Api-Token <YOUR-ACCESS-TOKEN>
.
Now that you've successfully configured GitLab and Dynatrace, you can use Dashboards and SDLC events to observe your GitLab pipelines and merge requests within the entire development organization.
In Dynatrace, open the GitLab Pipeline Pulse, GitLab Merge Request and GitLab Deployments dashboards to:
Leverage those insights for the following improvement areas:
Streamline CI/CD pipeline: Observing pipeline executions lets you identify bottlenecks and inefficiencies in your CI/CD pipelines.
Knowing about these bottlenecks and inefficiencies helps optimize build and deployment processes, leading to faster and more reliable releases.
Improve developer productivity: Automated pipelines reduce the manual effort required for repetitive tasks, such as running tests and checking coding standards. This automation allows developers to focus more on writing code and less on administrative tasks.
Get data-driven development insights: Analyzing telemetry data from merge requests and pipelines provides valuable insights into the development process.
You can use the telemetry data to make informed decisions and continuously improve the development flows.
Regularly review and tweak your CI/CD pipelines to ensure they are optimized for performance.
In Dynatrace, adjust the timeframe of the GitLab Pipeline Pulse and GitLab Merge Request dashboards to monitor the long-term impact of your improvements.
We highly value your insights on GitLab pipeline observability. Your feedback is crucial in helping us enhance our tools and services. Visit the Dynatrace Community page to share your experiences, suggestions, and ideas directly in Feedback channel for CI/CD Pipeline Observability.