PostgreSQL and Atera Integration

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Sync PostgreSQL data with Atera for real-time asset tracking. Latenode's visual editor simplifies complex data flows and its usage-based pricing scales affordably, so you can manage IT infrastructure efficiently.

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PostgreSQL

Atera

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PostgreSQL and Atera

Create a New Scenario to Connect PostgreSQL and Atera

In the workspace, click the β€œCreate New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a PostgreSQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, PostgreSQL or Atera will be your first step. To do this, click "Choose an app," find PostgreSQL or Atera, and select the appropriate trigger to start the scenario.

Add the PostgreSQL Node

Select the PostgreSQL node from the app selection panel on the right.

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PostgreSQL

Configure the PostgreSQL

Click on the PostgreSQL node to configure it. You can modify the PostgreSQL URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Atera Node

Next, click the plus (+) icon on the PostgreSQL node, select Atera from the list of available apps, and choose the action you need from the list of nodes within Atera.

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Atera

Authenticate Atera

Now, click the Atera node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Atera settings. Authentication allows you to use Atera through Latenode.

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Configure the PostgreSQL and Atera Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the PostgreSQL and Atera Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring PostgreSQL, Atera, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking β€œRun once” and triggering an event to check if the PostgreSQL and Atera integration works as expected. Depending on your setup, data should flow between PostgreSQL and Atera (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect PostgreSQL and Atera

PostgreSQL + Atera + Slack: When a new or updated row is detected in PostgreSQL matching certain error criteria using a custom query, a notification is sent to a designated Slack channel to alert the IT support team about critical database errors logged in Atera.

Atera + PostgreSQL + Google Sheets: When a new or updated customer is created in Atera, the data is inserted as a new row in PostgreSQL. Then, on a schedule, data from PostgreSQL is used to generate reports in Google Sheets.

PostgreSQL and Atera integration alternatives

About PostgreSQL

Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.

About Atera

Use Atera with Latenode to automate IT support tasks. Trigger workflows on alerts, automatically create tickets, or update asset info. Integrate Atera's monitoring data with other apps for deeper insights and faster issue resolution. Customize rules and actions using Latenode's visual editor or JavaScript for precise automation.

See how Latenode works

FAQ PostgreSQL and Atera

How can I connect my PostgreSQL account to Atera using Latenode?

To connect your PostgreSQL account to Atera on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select PostgreSQL and click on "Connect".
  • Authenticate your PostgreSQL and Atera accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I sync PostgreSQL database changes to Atera tickets?

Yes, you can! Latenode allows real-time data syncing, automatically creating or updating Atera tickets based on PostgreSQL data. Improve response times and customer satisfaction.

What types of tasks can I perform by integrating PostgreSQL with Atera?

Integrating PostgreSQL with Atera allows you to perform various tasks, including:

  • Automatically create Atera tickets from PostgreSQL database alerts.
  • Update Atera customer information with new PostgreSQL database entries.
  • Monitor PostgreSQL performance metrics and trigger Atera service requests.
  • Generate reports in Atera based on data aggregated in PostgreSQL.
  • Synchronize asset data between PostgreSQL inventory and Atera's asset management.

How does Latenode handle data transformations between PostgreSQL and Atera?

Latenode provides visual data mapping and JavaScript blocks for complex transformations. Easily adapt data formats and ensure compatibility between PostgreSQL and Atera.

Are there any limitations to the PostgreSQL and Atera integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Initial data migration may require manual setup and validation.
  • Complex data transformations might necessitate custom JavaScript code.
  • Real-time synchronization is subject to API rate limits of both services.

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