![]() ![]() Sweet.īig welcome to Postgres Projects in Azure Data Studio And just last month, we also rolled out an update to the Postgres extension in Azure Data Studio that allows seamless sign in using Active Directory for those of you with Azure Database for PostgreSQL - Single Server databases. More and more of our Postgres developers (well, the ones who aren’t in the cli-only camp) now use Azure Data Studio in their day to day work and in their demos. (Psql as you probably know is the most popular interactive terminal for Postgres in fact, some users refer to psql in Postgres as their best friend). The integration of Postgres with Azure Data Studio is super useful if Postgres is your jam and if you prefer a graphical editor over command line options like psql. ![]() Last year we rolled out the Postgres extension to Azure Data Studio. If you like this approach to organizing code, Azure Data Studio wants to give you a helping hand.ĭid you know there is a Postgres extension for Azure Data Studio? You can even have instances of your app run against different database versions as needed. For example, separating app and database code can help make your version upgrades cleaner. This approach provides more flexibility and control over what happens to your Postgres database and when. But it has its drawbacks in production, one of which is making coordination with your DBA and other app teams more difficult.Īlternatively, you could create database-specific deployment scripts that are separate from your application code. This approach can be pretty quick and convenient, especially when you’re testing. ![]() Deploying a new build of your app then creates and updates the objects in your Postgres database. How do you design and deploy your Postgres code? Some of you probably define the data model directly in your application code. ![]()
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