Connect to Turbot Pipes from Apache Superset

Apache Superset is a data exploration and visualization platform that connects to many databases, including Postgres, and enables users to explore, query, and visualize data.

Steampipe provides a single interface to all your cloud, code, logs and more. Because it's built on Postgres, Steampipe provides an endpoint that any Postgres-compatible client -- including Apache Superset -- can connect to.

The Connect tab for your workspace provides the details you need to connect Apache Superset to Turbot Pipes.

Connect to Steampipe CLI from Apache Superset

You can also connect Apache Superset to Steampipe CLI. To do that, run steampipe service start --show-password and use the displayed connection details.

Steampipe service is running:

Database:

  Host(s):            localhost, 127.0.0.1, 192.168.29.204
  Port:               9193
  Database:           steampipe
  User:               steampipe
  Password:           99**_****_**8c
  Connection string:  postgres://steampipe:99**_****_**8c@localhost:9193/steampipe

Getting started

Apache Superset is a free to use open-source application that runs in a container, or on the desktop. Here we run it locally using docker compose.

With Apache Superset up and running, open a browser to http://localhost:8080/. Click on Database Connections under settings on the top right corner, then click +Database and select PostgreSQL. Enter the connection details, toggle the SSL mode to Require and click connect.

Alternatively, you can connect to the database using the SQLALCHEMY URI option and use the connection string.

Now add a Dataset which is a representation of a table you want exposed for querying. To do that click on +Dataset from the Datasets tab and update the database, schema and table details. Here we add a dataset using the azure_compute_disk table to list the Azure compute disks.

To create the table, select the azure_compute_disk dataset, set the QUERY MODE to RAW RECORDS, update the columns to be displayed and click CREATE CHART. Superset will then preview the data.

Create charts with custom queries.

You can augment your SQL queries using Superset's SQL Lab (under the SQL tab) and visualize them with a suite of charts. To try that, click SQL Lab and paste this SQL that returns the number of compute disks per region.

select
  region,
  count(name)
from
  azure_compute_disk
group by
  region;

Once the result is returned, click CREATE CHART and select PIE CHART. Now update the region and count columns into the dimensions field, set the metric field to aggregate MAX count and click UPDATE CHART. Custom queries can also be saved as datasets.

Create a dashboard to analyze resources

Charts that display data are the building blocks of Apache Superset dashboards. We'll focus here on a creating a dashboard that monitors the Azure VMs and disks. To begin, click +Dashboard from the Dashboards tab, and click +Create a New Chart. Then create datasets and charts with azure_compute_virtual_machine_metric_cpu_utilization_hourly and azure_compute_disk_metric_read_ops_daily tables. Finally paste these queries to create dataset charts for VMs with disks not encrypted by customer-managed key, and for unattached disks.

select
  count(disk.encryption_type)
from
  azure_compute_disk as disk
  join azure_compute_virtual_machine as vm on disk.name = vm.os_disk_name
where
  not disk.encryption_type = 'EncryptionAtRestWithCustomerKey'

select
  name,
  disk_state,
  sku_tier,
  time_created,
  encryption_type,
  network_access_policy
from
  azure_compute_disk
where
  disk_state = 'Unattached';

Superset provides a variety of chart types. Here we use Bar Chart for azure_compute_virtual_machine_metric_cpu_utilization_hourly, Funnel Chart for azure_compute_disk_metric_read_ops_daily, Table for list of unattached disks and Gauge Chart for VMs with disks not encrypted by customer managed key. The dashboard can also be saved as an image by simply clicking on Download as image from the dashboard menu.

Summary

With Apache Superset and Turbot Pipes you can:

• View tables in your Turbot Pipes workspace

• Write custom queries for those tables

• Create interactive dashboards driven by your tables and queries