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[mongodb_atlas] Enable Agentless deployment. #18507

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[mongodb_atlas] Enable Agentless deployment.
ritalwar Apr 17, 2026
aea2d3c
Fix link for version 1.2.0 in changelog
ritalwar Apr 17, 2026
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5 changes: 5 additions & 0 deletions packages/mongodb_atlas/_dev/build/docs/README.md
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- `process`: Collects host metrics per process for all the hosts in the specified group. Metrics like measurements for the host, such as CPU usage, number of I/O operations and memory usage are available in this data stream.
- `project`: Collects events from MongoDB Atlas instance, providing a comprehensive record of actions and changes made within a project. These events can include modifications to database configurations, user access changes, and general project activity. It's a crucial resource for auditing and monitoring the activities within a MongoDB Atlas project.

NOTE: Users can monitor and see the logs and metrics inside the ingested documents for MongoDB Atlas in the `logs-*` index pattern from `Discover`.

Check notice on line 31 in packages/mongodb_atlas/_dev/build/docs/README.md

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GitHub Actions / Lint Documentation 

Elastic.WordChoice: Consider using 'refer to (if it's a document), view (if it's a UI element)' instead of 'see', unless the term is in the UI.

## Agentless Enabled Integration

Agentless integrations allow you to collect data without having to manage Elastic Agent in your cloud. They make manual agent deployment unnecessary, so you can focus on your data instead of the agent that collects it. For more information, refer to [Agentless integrations](https://www.elastic.co/guide/en/serverless/current/security-agentless-integrations.html) and the [Agentless integrations FAQ](https://www.elastic.co/guide/en/serverless/current/agentless-integration-troubleshooting.html).
Agentless deployments are only supported in Elastic Serverless and Elastic Cloud environments. This functionality is in beta and is subject to change. Beta features are not subject to the support SLA of official GA features.

## Requirements

You can store and search your data using Elasticsearch and visualize and manage it with Kibana. We recommend using our hosted Elasticsearch Service on Elastic Cloud or self-managing the Elastic Stack on your own hardware.
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5 changes: 5 additions & 0 deletions packages/mongodb_atlas/changelog.yml
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@@ -1,4 +1,9 @@
# newer versions go on top
- version: "1.2.0"
changes:
- description: Enable Agentless deployment.
type: enhancement
link: https://github.com/elastic/integrations/pull/18507
- version: "1.1.0"
changes:
- description: Standardize user fields processing across integrations.
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12 changes: 10 additions & 2 deletions packages/mongodb_atlas/manifest.yml
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@@ -1,7 +1,7 @@
format_version: 3.0.3
format_version: 3.3.2
name: mongodb_atlas
title: "MongoDB Atlas"
version: 1.1.0
version: 1.2.0
source:
license: "Elastic-2.0"
description: This Elastic integration collects logs and metrics from MongoDB Atlas instance.
Expand Down Expand Up @@ -61,6 +61,14 @@ policy_templates:
- name: mongodb_atlas
title: MongoDB Atlas logs and metrics
description: Collect MongoDB Atlas logs and metrics.
deployment_modes:
default:
enabled: true
agentless:
enabled: true
organization: observability
division: engineering
team: obs-infraobs-integrations
inputs:
- type: cel
title: Collect MongoDB Atlas logs and metrics
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3 changes: 3 additions & 0 deletions packages/mongodb_atlas/validation.yml
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errors:
exclude_checks:
- JSE00001
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