Atera and Microsoft SQL Server Integration

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Sync Atera's IT management data to Microsoft SQL Server for custom reporting and analytics. Latenode's visual editor simplifies complex data flows and scaling, while affordable execution-based pricing optimizes costs.

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Atera

Microsoft SQL Server

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Atera and Microsoft SQL Server

Create a New Scenario to Connect Atera and Microsoft SQL Server

In the workspace, click the “Create 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 Atera, triggered by another scenario, or executed manually (for testing purposes). In most cases, Atera or Microsoft SQL Server will be your first step. To do this, click "Choose an app," find Atera or Microsoft SQL Server, and select the appropriate trigger to start the scenario.

Add the Atera Node

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

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Configure the Atera

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

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Add the Microsoft SQL Server Node

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

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Authenticate Microsoft SQL Server

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

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

Most powerful ways to connect Atera and Microsoft SQL Server

Atera + Microsoft SQL Server + Slack: When a new or updated customer is registered in Atera, the information is inserted as a new row in a Microsoft SQL Server database. Then, a message is sent to a designated Slack channel to notify the IT team about the new customer.

Microsoft SQL Server + Atera + Slack: When a new or updated row is added to a Microsoft SQL Server database based on a custom query, Atera retrieves the customer's contact information, and Slack sends a direct message to the IT support team with these details.

Atera and Microsoft SQL Server integration alternatives

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.

About Microsoft SQL Server

Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.

See how Latenode works

FAQ Atera and Microsoft SQL Server

How can I connect my Atera account to Microsoft SQL Server using Latenode?

To connect your Atera account to Microsoft SQL Server on Latenode, follow these steps:

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

Can I sync Atera tickets to a SQL database?

Yes, you can! Latenode’s visual editor makes it easy to sync Atera tickets to your Microsoft SQL Server database, ensuring data consistency and enabling detailed reporting with custom queries.

What types of tasks can I perform by integrating Atera with Microsoft SQL Server?

Integrating Atera with Microsoft SQL Server allows you to perform various tasks, including:

  • Automatically backing up Atera tickets to a secure SQL database.
  • Generating custom reports combining Atera data with other SQL data.
  • Tracking SLA performance using real-time SQL queries on Atera data.
  • Creating dashboards visualizing Atera metrics stored in Microsoft SQL Server.
  • Triggering Atera actions based on SQL Server data changes or alerts.

Can I use custom SQL queries to pull Atera data from Latenode?

Yes, Latenode enables you to use custom SQL queries to extract specific Atera data, providing flexibility beyond standard API calls for tailored data analysis.

Are there any limitations to the Atera and Microsoft SQL Server integration on Latenode?

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

  • Initial data sync may take time depending on the volume of data.
  • Complex SQL queries require a good understanding of SQL syntax.
  • Atera API rate limits may affect the frequency of data updates.

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