PySpark basics: upserting data on Databricks
In this blog, Tim (Data Engineer) explains how data engineers and data scientists can move from pandas to PySpark. Although the two libraries have…
A Managed DevOps Pool lets you manage the infrastructure you need to run a DevOps pipeline without having to maintain servers or machines – Azure handles that. You can run your pipelines on your own compute resources and focus entirely on development and deployment. Why a Managed De
A Managed DevOps Pool in Azure consists of a group of automatically managed virtual machines (VMs). These VMs carry out tasks in your DevOps pipelines, such as running tests and deploying software to different environments. Automatic scaling and updates keep the machines ready to use.
The benefits at a glance:
How do you create a Managed DevOps Pool?
Follow these steps to set up a Managed DevOps Pool:
1. Preparation
Make sure you meet the following requirements:
2. Creating a Managed DevOps Pool
3. Security and Network Settings
Do you want to place the Managed DevOps Pool in your own VNet? If so, you need to create a VNet (see below). We recommend this because it gives you maximum control and security.
Conclusion
With a Managed DevOps Pool, you can automate and optimise your DevOps environment. At DSL, we use this Azure feature to set up our solutions securely and efficiently – without compromising the development process.
Ready to get started? Read the full documentation here and take the step towards an advanced DevOps environment today! Arrange a meeting with us if you’d like advice on this.
In this blog, Tim (Data Engineer) explains how data engineers and data scientists can move from pandas to PySpark. Although the two libraries have…
Over two years, we supported dozens of AI projects, from initial exploration to a model that runs every night. Some went exactly as planned; others…
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