Azure Data Factories Management

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

CloudMonix hooks into Azure Management API to collect a variety of key metrics to provide insight into the overall Data Factory status, as well as detailed information about individual activities. Additionally, CloudMonix can immediately notify users whenever it detects failed activities or exceptions.

Setting up Azure Data Factory in CloudMonix takes just a couple of minutes, since the most important metrics and alerts are preconfigured in default templates.

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Popular Ways to Utilize CloudMonix

Failures Detection

Get immediately notified about any failed activities or gateways connectivity issues. Track datasets and linked services errors to ensure data is being processed.

Status Visualization

See the overall status of your Data Factory solutions at a glance, or dive deep into details of an individual activity. Track and visualize information about activities, pipelines, gateways and datasets.

Azure Data Factories Monitoring

Every minute CloudMonix collects information about your Azure Data Factory solutions to ensure smooth execution of all activities.

  • Track failed and successful activities
  • Verify activity completion status and total execution time
  • Get notified about gateways connectivity issues
  • Monitor datasets and linked services errors
  • Track pipelines state

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