Nidhi Gupta
2 min readJul 31, 2023

Demystifying Azure Integration Runtime(IR)

How to Seamlessly Connect and Manage Data Across Your Ecosystem. In simple terms, IR describes “how to take the data “.Let’s understand the detailed definition of IR.

“Azure Integration Runtime Bridges the Gap Between Cloud Data and Between On-Premises Data and Cloud Data.”

Integration Runtime provides computation power to the ADF pipeline. It is a secure, scalable way to move and transform data from various sources to different destinations.

In this article, we will explore types of IR in Azure. From a broad perspective, IR is categorized into 3 categories.

  1. AutoResolve IR
  2. Azure IR
  3. Self-Hosted IR
  4. Azure SSIS IR

AutoResolve IR:

  1. One of the fully managed serverless compute which provides the benefit of auto-resolving location.

2. By default AutoResolve IR is enabled on the cloud.

Azure IR:

  1. Fully managed and serverless compute which provides the benefit of selecting a location as per the feasibility.
  2. The benefit of creating IR near to sink region.
  3. An option to choose a specific region based on the feasibility.

Self-Hosted IR:

  1. Data transfer between cloud and on-premises.
  2. You take care of all the installation, patching, and scaling.

Steps to set up self-hosted IR:

Download and install IR and register using keys any one of the keys. Once the setup is completed select the source connection with the created self-hosted IR.

Azure SSIS IR:(Migration of SSIS packages)

  1. To lift and shift existing SSIS workload.
  2. We can create an azure-SSIS IR to natively execute SSIS packages.

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“Keep learning and keep sharing knowledge”

Nidhi Gupta

Azure Data Engineer 👨‍💻.Heading towards cloud technologies expertise✌️.