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Deploy Pulse Database
You can deploy Pulse databases on virtual machines (VMs) or bare metal nodes using the Pulse Manager Server. The Pulse Manager Agent, installed on each VM, applies the database deployment plan and sends the status of the databases to the Pulse Manager Server.
Pulse databases store the data collected from Hadoop nodes and processed by Pulse Core and Add-on services. The Pulse UI retrieves this data from the databases and displays it in the user interface.
Deploy Databases on VMs
As part of the Pulse setup, deploy the following databases on Virtual Machines (VMs):
ElasticSearch:
ad-elasticandlogstashVictoriaMetrics:
ad-vmstoragead-vmselectad-vminsert
MongoDB:
ad-dbPostgreSQL:
ad-pgad-pg-ui
Message Queue
Ad-events
Prerequisites
Ensure the Pulse Manager Agent is already installed on VMs or Bare Metal Nodes. For more information, see Deploy Pulse Manager Agent.
Have the
cacertsfile is ready for the ElasticSearch deployment. This is needed to enable secure communication between Elasticsearch nodes.
Deployment Steps
To begin the database (DB) deployment, follow these steps:
Request the
/initAPI of the Manager Server, providing the image tag and other necessary information.
Before running the command, ensure you have updated all placeholder values enclosed in <> with the appropriate information.
The curl command sends a POST request to the
initendpoint of the Pulse Manager Server via its Ingress API URL.The Authorization provides basic authentication to authorize the request.
This JSON payload provides the initial configuration:
Key | Description |
|---|---|
| Specifies the Pulse version to use. |
| The URL of the container registry (e.g., AWS ECR) where Pulse images are stored. |
| The Kubernetes secret used to authenticate with the registry. |
| How long to retain HDFS-related data in the system (in days). |
| How long to retain MongoDB data. |
| Log storage retention duration (e.g., ElasticSearch). |
| Retention period for metrics data (e.g., in VictoriaMetrics). |
Upload the CACerts for Elastic Deployment.
Execute the Deploy DB API call to initiate the database deployment.
Verify the database status.
Check whether all the database instances are up and running by querying their status using the appropriate commands or APIs.
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