Technical preview

To monitor resources on private networks you can either:

• Allow Elastic's global managed infrastructure to access your private endpoints.
• Use Elastic Agent to create a Private Location.

Private Locations via Elastic Agent require only outbound connections from your network, while allowing Elastic's global managed infrastructure to access a private endpoint requires inbound access, thus posing an additional risk that users must assess.

Allow access to your private network

To give Elastic's global managed infrastructure access to a private endpoint, use IP address filtering, HTTP authentication, or both.

To grant access via IP, use this list of egress IPs. The addresses and locations on this list may change, so automating updates to filtering rules is recommended. IP filtering alone will allow all users of Elastic's global managed infrastructure access to your endpoints, if this is a concern consider adding additional protection via user/password authentication via a proxy like nginx.

Monitor via a private agent

Private Locations allow you to run monitors from your own premises. Before running a monitor on a Private Location, you'll need to:

• Set up Elastic Agent.
• Connect Fleet to your Observability project and enroll an Elastic Agent in Fleet.
• Add a Private Location in the Synthetics UI.

Set up Elastic Agent

Start by setting up Elastic Agent and creating an agent policy**. For more information on agent policies and creating them, refer to Elastic Agent policy.

Connect to your Observability project

After setting up Fleet, you'll connect Fleet to the your Observability project and enroll an Elastic Agent in Fleet.

Elastic provides Docker images that you can use to run Fleet and an Elastic Agent more easily. For monitors running on Private Locations, you must use the elastic-agent-complete Docker image to create a self-hosted Elastic Agent node. The standard Elastic Cloud or self-hosted Elastic Agent will not work.

To pull the Docker image run:

docker pull docker.elastic.co/beats/elastic-agent-complete:8.13.4

Then enroll and run an Elastic Agent. You'll need an enrollment token and the URL of the Fleet Server. You can use the default enrollment token for your policy or create new policies and enrollment tokens as needed.

For more information on running Elastic Agent with Docker, refer to Run Elastic Agent in a container.

docker run \
  --env FLEET_ENROLL=1 \
  --env FLEET_URL={fleet_server_host_url} \
  --env FLEET_ENROLLMENT_TOKEN={enrollment_token} \
  --cap-add=NET_RAW \
  --cap-add=SETUID \
  --rm docker.elastic.co/beats/elastic-agent-complete:8.13.4

Add a Private Location

When the Elastic Agent is running you can add a new Private Location in your Observability project's Synthetics section:

1. Go to Settings.
2. Go to the Private Locations tab.
3. Click Add location.
4. Give your new location a unique Location name and select the Agent policy you created above.
5. Click Save.

Scaling Private Locations

By default Private Locations are configured to allow two simultaneous browser tests, and an unlimited number of lightweight checks. These limits can be set via the environment variables SYNTHETICS_LIMIT_{TYPE}, where {TYPE} is one of BROWSER, HTTP, TCP, and ICMP for the container running the Elastic Agent docker image.

It is critical to allocate enough memory and CPU capacity to handle configured limits. Start by allocating at least 2 GiB of memory and two cores per browser instance to ensure consistent performance and avoid out-of-memory errors. Then adjust as needed. Resource requirements will vary depending on workload. Much less memory is needed for lightweight monitors. Start by allocating at least 512MiB of memory and two cores for lightweight checks. Then increase allocated memory and CPU based on observed usage patterns.

These limits are for simultaneous tests, not total tests. For example, if 60 browser tests were scheduled to run once per hour and each took 1 minute to run, that would fully occupy one execution slot. However, it is a good practice to set up execution slots with extra capacity. A good starting point would be to over-allocate by a factor of 5. In the previous example that would mean allocating 5 slots.

Next steps

Now you can add monitors to your Private Location in the Synthetics UI or using the Elastic Synthetics library's push method.