![]() Metabase has a nice doc for configuring Metabase to be used in production: How to Run Metabase in Production. Next Step - Set up your Container App for production use When you are done exploring Metabase, don't forget to delete the resources you created if you aren't going to use them any longer.Įnter fullscreen mode Exit fullscreen mode Use the Metabase Getting Started Guide or search for Metabase on YouTube if you need help getting started. If you need that URL again, you can use this command to quickly find it:Īz containerapp show -g metabase-rg -n metabase -query Paste the URL from Step 1 in a browser to start enjoying Metabase! To increase the CPU and memory resources allocated to your new Container App, just run the following command:Īz containerapp update -resource-group metabase-rg -name metabase -cpu 1 -memory 2.0Gi Update the resources for your Container App The next step will help you update the resources and get the app running. 5 CPU and 1GB memory Azure Container Apps allocates. When the command is complete you will see a line that starts with Browse to your Container App at: You will use this URL to open your new Metabase app, but if you do it right now, you'll likely see a stream timeout error because Metabase needs more resources than the default. ![]() You will see the steps as they are running, like 'Creating resource group 'your-resource-group-name' and Creating Containerapp your-app-name. Note: If prompted to install the containerapp extension, choose Y. If you don't already have one, you can create one for free.Ĭreate the Container App and deploy the Metabase imageĪz containerapp create -g metabase-rg -n metabase -image /metabase -environment metabase-aca-env -target-port 3000 -ingress 'external' -cpu 2 -memory 4.0Gi There are several options for running container-based apps on Azure, but Azure Container Apps (ACA) is one of the easiest to get started with. I recently have enjoyed working with Metabase, and deploying it on Azure makes it easy to create some amazing visualizations for my data that is already in the Azure cloud. I work on improving the Developer Experience on Microsoft Azure and I love spending time in the data engineering and data analysis space. ![]() This process works for any Docker container hosted on Docker Hub, not just Metabase, so you can try it with your containers. The frontend is written as a JavaScript single-page application which provides the web UI.With a few simple steps, you can deploy Metabase on Microsoft Azure using Azure Container Apps. The backend is written in Clojure that contains a REST API as well as all the relevant code for talking to databases and processing queries. The Metabase application has two basic components It is written in Clojure and offers multiple options such as Docker image, cloud images, Mac application, and a jar file, which are specially designed for particular use cases. Running Metabase on a server will enable others to log into accounts and share reports & dashboards. Niles partners, one of the IT Solutions provider is launching a product which will configure Metabase to a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques which is embedded pre-configured tool with Ubuntu 18.04 and ready-to-launch AMI on Azure cloud that contains Hadoop, Hbase and SQL interface. Provide Application-wide Reports and dashboards Power the in-app analytics without writing any SQL Metabase is primarily used for analyzing existing data on a daily basis by swiftly fetching answers to the most common queries without dealing with complex workflows.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |