#METABASE AWS HOW TO#
#METABASE AWS INSTALL#
#METABASE AWS UPDATE#

Download Java 8 to your instance (Java 7 is not enough for the current version of Metabase).

This approach eliminates the yet-another-dashboard fatigue and gives you the ability to pick the best-in-class visualization tools or reuse your current stack.I encountered a few problems on the way.

#METABASE AWS HOW TO#

In this post we showed you how to build an open-source cloud asset inventory with CloudQuery as the ETL (Extract-Transform-Load) / data-ingestion layer and Apache Superset as the visualization and monitoring platforms. In our case we will send it to slack on a daily basis! Summary One of the Coolest features in Metabase is sending periodic reports via email, if you click on the Sharing button on upper right side and then Dashboards subscriptions you will see the following screen: Now you can stack multiple visualization into one dashboards (by clicking Save in the previous step) so it will look something like the following: For example, if we want to visualize number of resources by account by region the query builder will look something like the following:Īnd by clicking visualize you should get the following neat stacked bar: You can both save this table directly to a dashboard by clicking Save or click show editor and create a different query using the query editor and then visualize. No you should see the following table that contains all the data in the view: In this step we will search for aws_resources view we created. You can either use the raw SQL query editor or you can choose to use the Metabase cool query builder. If you used Metabase this step should be familiar to you. Now you can connect Metabase to your PostgreSQL database by clicking “Add a Database”, Choosing PostgreSQL and filling-in the following form: If you deploy it in your own VPC you might be able to connect it in your private network.

#METABASE AWS UPDATE#

In order to enable access by Preset you are going to have to update your security groups to include the IP ranges that Preset publishes (or alternatively look at the publicly_accessible variable in our terraform modules - aws, GCP).

Step 3: Connecting Metabase to PostgreSQLīy default RDS Aurora instances are not accessible from the public internet.

Self-hosted (jar, docker, source, AWS, …):.

Metabase is open source data visualization and exploration platform (or per Metabase: “an open source way for everyone in your company to ask questions and learn from data”). If you are already familiar with CloudQuery, take a look at how to deploy it to AWS on Amazon Aurora and EKS here. If it’s your first time using CloudQuery we suggest you first run it locally to get familiar with the tool, take a look at our quickstart guide and AWS source plugin.

#METABASE AWS INSTALL#

Walkthrough Step 1: Install or Deploy CloudQuery Avoid yet-another-dashboard fatigue: Use your existing Metabase setup to build a cloud asset inventory.Multi-Cloud Asset Inventory: Ingest configuration from all your clouds to a single datastore with a unified structure.Raw SQL access to all your cloud asset inventory to create views or explore any questions or connection between resources.

Data Visualization and Exploration Platform: Metabase.ETL (Extract-Transform-Load) ingestion layer: CloudQuery.Name Yevgeny Pats Twitter this blog post, we will walk you through how to setup CloudQuery to build your cloud asset inventory in PostgreSQL and connect it to Metabase for visualization, monitoring and reporting.

Metabase aws