![]() The simplest top-level way to think about the question: “which Postgres service on Azure is right for my application?” is this: That’s what I call the “2 elephants in the room.” Choice is good, but it begs the question: how do you choose? ![]() On Azure, we have two different managed services you can choose from for Postgres. Which has the benefit of letting somebody else deal with the hardware and operating system, configure high availability, architect for security, manage the backups, and make sure the updates happen. Why a managed Postgres service? Primarily so you can outsource your database operations and focus on your application. You can of course install and self-manage Postgres on an Azure VM.īut most of you who run your apps in the cloud do so on a managed database service. And when you decide to run your application in the cloud on Azure, you have a few choices. Many of you choose Postgres when selecting a database for your application. Choice of 2 Azure managed services for PostgreSQL Of course, it takes a village: for many of the open source bullets in the diagram above, our contributions were not made in isolation-and involved collaboration from developers and community members across the Postgres community, and from other companies, too. Azure Cosmos DB for PostgreSQL (aka Citus on Azure)įigure 1: This diagram is a visual overview of the different Postgres workstreams at Microsoft, highlighting some of the work we’ve done over the last year.Azure Database for PostgreSQL – Flexible Server.Choice of 2 Azure managed services for PostgreSQL.Each of these bullets is a link to make it easy for you to jump straight to the sections that interest you most. Our work includes some pretty significant improvements to the Postgres managed services on Azure, as well as contributions across the entire open source ecosystem-including commits to the Postgres core new releases to Postgres open source extensions like Citus and pg_cron plus ecosystem work on Patroni, PgBouncer, pgcopydb. In this post, you’ll get a bird’s eye view of all the Postgres work the Microsoft team has done over the last year. Probably because there are multiple Postgres workstreams at Microsoft, spread across a few different teams. Password: Enter the password that you used when creating the Amazon RDS database.On one of the Postgres community chat forums, a friend asked me: “Is there a blog post that outlines all the work that is being done on Postgres at Microsoft? It’s hard to keep track these days.”Īnd my friend is right: it is hard to keep track.In this tutorial, it is ' masterUsername.' Username: Type in the username you created for the Amazon RDS database.For example, our URL could be jdbc:postgresql://./myDatabase. Finally, append a forward slash and the name of your data base instance to the end of the URL. Enter or paste the endpoint (including port) of the DB Instance after "jdbc:postgresql://". URL: You can find your JDBC URL on the Amazon RDS console as shown in the screenshot to the right.In the next dialog box, click the folder icon and select the driver you downloaded in the previous step. Note: When you select a driver from the drop-down menu you will be prompted to edit the driver definition. See the PDF file included in the download for details.ī. exe file (Windows) or the shell script (macOS, Linux) included in the download folder. Note: You can launch the application using the. After you have completed your download, install SQL Workbench. In this step, we will connect to the database you created using SQL Workbench.Ī. ![]() For more information, see Viewing DB Instance Metrics. Enabling enhanced monitoring will give you metrics in real time for the operating system (OS) that your DB instance runs on. For more information about Performance Insights, a database performance and monitoring feature, see the Performance Insights web page.Įnhanced monitoring: Select Enable enhanced monitoring. Select Disable Performance Insights for this tutorial.
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