Category: Cloud

Andy Brownsword saves some quid:

If you have a Self-Hosted Integration Runtime (SHIR, or IR for short here) on an Azure Virtual Machine (VM), there’s a cost to keep it online. When used intermittently – for example during batch processes – this is inefficient for costs as you’re paying for the compute you don’t need. One way to alleviate this is by controlling uptime of the environment manually, only bringing it online for as long as needed.

Read on to see how to do this.

Andy Brownsword flips the script:

Last week we looked at calling a Data Factory Pipeline from a Logic App. This week I thought we’d balance it out by taking a look at calling a Logic App from an Azure Data Factory (ADF) Pipeline.

When building the Logic App last week we had to create our own polling mechanism to check for completion of the pipeline. The process is much simpler in the opposite direction. I specifically want to highlight two approaches, and save some pennies whilst we’re at it.

I am all about saving pennies, so be sure to check out that section as well.

Andy Brownsword automates a workflow:

When building Azure Logic Apps we can use the Azure Data Factory connector to start a pipeline. However that action simply triggers a pipeline and doesn’t wait for it to finish. If your downstream logic depends on the output – for example to collect a file – this can cause issues.

In this post I’ll demonstrate how to control the Logic App flow to wait for the pipeline to complete before proceeding.

Read on to see how, as well as some additional ideas of how to improve the pattern.