Azure Data Factory

Microsoft Azure Data Factory

Monitor, heal and scale Azure Data Factory

Microsoft Azure Data Factory is a service that allows to automate and orchestrate data retrieval, processing and publishing. Data Factory provides access to sophisticated algorithms, such as Machine Learning and MapReduce, and can be applied to data ingested from a wide variety of sources.

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Ensure your Azure Data Factory is running without failures. Get immediately notified of any unhealthy backend resources or other failed activities.

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Track a wide range of performance metrics. Get alerted whenever metric values get out of the expected range, and resolve issues before failures occur.

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Based on the observations and analysis of data gathered, Powershell scripts can be executed against your Data Factory to remediate issues that may be detected.

Microsoft Azure Data Factory

What is Azure Data Factory?

Netreo’s “Microsoft Azure Data Factory” module gives your IT organization complete visibility into the Microsoft Azure Data Factory and provides alerts and automatic actions based on the predefined criteria.

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Drive Efficiency

Enabling Microsoft Azure Data Factory in your deployment means one less tool engineers have to consult when troubleshooting issues in your IT Infrastructure.

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Manage IT Spend

Ensure you’re dedicating the correct portion of your IT budget to productivity applications, and license utilization levels are in proportion with the size of your organization. 

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Improve SLAs

Allow the NOC team to isolate problems faster and properly route issues to the correct personnel, reducing MTTR and improving service levels provided to your end users.

Application Visibility

End-to-End Visibility for Azure Data Factory

Get deep insights into Azure Data Factory health status and ensure optimal application performance and reliability:

  • Track failed and successful activities, state of the pipelines, activity completion and total execution time

  • Get notified about gateways connectivity issues

  • Monitor datasets and linked services errors
  • Azure Data Factory Automation

    Azure Data Factory Automation

    Keep your Azure Data Factory resources running optimally by automating common maintenance tasks by expression or on a schedule.

  • Start/stop integration runtimes and triggers automatically to ensure optimum operation

  • Receive notifications about the automated tasks and workflows execution

  • Monitor progress of your automated tasks execution across all resources
  • Azure Visibility: Tips to Cover Your “aaS”

    Optimizing costs and monitoring the performance and availability of Microsoft Azure resources are no simple task, especially when you’re lacking visibility into said resources. View this webinar for tips to ensure your “aaS” is covered, be it IaaS, PaaS, SaaS, or FaaS.

    View Webinar

    Ready to get started? Get in touch or schedule a demo.