Enterprise Server: Initial Setup

These are the installation instructions for pganalyze Enterprise Server, which runs fully-contained within your own environment.

The pganalyze Docker image is mostly self-contained, and runs various services inside the Docker container.

Installation steps


  • Provision a virtual machine
    • Assign at least 4GB - 8GB of RAM, 1-2 dedicated CPU cores
  • Install Docker on your virtual machine
    • pganalyze Enterprise Server is delivered through a Docker image
  • Setup a PostgreSQL database that can be used for storing statistics data
    • PostgreSQL 10 or newer
    • 50 GB of dedicated disk space or more
  • Optional: If you use the RDS integration, setup an appropriate IAM role that can be used to download logs and system metrics

Step 1: Download the Docker Image

The Docker image is made available to you through the container hosting service quay.io. We have provided you with the credentials you can use for access by email.

Enable access to the image like this:

docker login -e="." -u="pganalyze+enterprise_customer" -p="YOUR_PASSWORD" quay.io

Note that this will add the login information to your current user's .dockercfg file - you will need this on every host where you'd like to access the image.

You should now be able to pull the pganalyze Enterprise Server Docker image:

docker pull quay.io/pganalyze/enterprise:[version]

Please note that [version] should be replaced with the version you are using. We recommend using the latest release.

Step 2: Setting Environment Variables

The Docker image uses environment variables that are passed in to determine how to access outside services, like PostgreSQL, LDAP and mail servers.

Here is an example .env file to get you started:


If you'd like to use the Log Insights or Automated EXPLAIN features, or want to run the collector separately from the Enterprise Server container, you also need to pass the object storage configuration here.

You can find the full explanation of all variables in the settings documentation.

Step 3: Initialize Database & Verify Installation

First, run the Enterprise self check, to ensure the configuration is correct:

docker run --env-file pganalyze.env quay.io/pganalyze/enterprise:[version] rake enterprise:self_check
Testing database connection... Success!
Testing Redis connection... Success!
Testing LDAP connection... Success!

All tests completed successfully!

In the case of an error this will give you a very verbose error message - please don't hesitate to ask us about it.

Assuming it succeeds, continue by initializing the database schema.

docker run --env-file pganalyze.env quay.io/pganalyze/enterprise:[version] rake db:structure:load

If you get permission errors, you may need to create the extensions btree_gist and pgcrypto beforehand. A successful output looks like this:

Jul  2 07:15:16 aa84f55aceba syslog-ng[160]: syslog-ng starting up; version='3.13.2'
Jul  2 07:15:17 aa84f55aceba cron[180]: (CRON) INFO (pidfile fd = 3)
Jul  2 07:15:17 aa84f55aceba cron[180]: (CRON) INFO (Running @reboot jobs)
(1 row)

Jul  2 07:15:22 aa84f55aceba syslog-ng[160]: syslog-ng shutting down; version='3.13.2'

Next, create the initial user:

docker run --env-file pganalyze.env quay.io/pganalyze/enterprise:[version] rake db:seed

Make sure to note down the default user email and password:

Jul  2 07:15:29 8bc5a4c0e6b6 syslog-ng[150]: syslog-ng starting up; version='3.13.2'
Jul  2 07:15:30 8bc5a4c0e6b6 cron[167]: (CRON) INFO (pidfile fd = 3)
Jul  2 07:15:30 8bc5a4c0e6b6 cron[167]: (CRON) INFO (Running @reboot jobs)
I, [2020-07-02T07:15:35.006455 #159]  INFO -- : *****************************
I, [2020-07-02T07:15:35.006520 #159]  INFO -- : *** INITIAL ADMIN CREATED ***
I, [2020-07-02T07:15:35.006538 #159]  INFO -- : *****************************
I, [2020-07-02T07:15:35.006551 #159]  INFO -- : 
I, [2020-07-02T07:15:35.006563 #159]  INFO -- : *****************************
I, [2020-07-02T07:15:35.006599 #159]  INFO -- : Email:    admin@example.com
I, [2020-07-02T07:15:35.006619 #159]  INFO -- : Password: abcdefabcdef
I, [2020-07-02T07:15:35.006636 #159]  INFO -- : *****************************
I, [2020-07-02T07:15:35.006648 #159]  INFO -- : 
I, [2020-07-02T07:15:35.006660 #159]  INFO -- : Use these credentials to login and then change email address and password.
Jul  2 07:15:35 8bc5a4c0e6b6 syslog-ng[150]: syslog-ng shutting down; version='3.13.2'

Step 4: Start Docker Image & Login to pganalyze

You can now start the Docker image in the background using this command:

docker run -d --name pganalyze --env-file pganalyze.env -p 8080:5000 quay.io/pganalyze/enterprise:[version]

This will make the web interface accessible on the server's address, on port 8080. You should see a site like this when you open your web browser for that address and port:


Please now login to the pganalyze interface using the generated credentials you've seen earlier when setting up the database. If successful you should see this screen:

create organization

If authentication does not work, or you see an error message, please check the container's logs using docker logs.

Choose an organization name of your choice (typically your company name), and then click "Add Server" on the next screen. You should now see this form:

add server

Step 5: Preparing Your PostgreSQL Database for Monitoring

Before you can add a database to the pganalyze installation, you'll need to enable the pg_stat_statements extension on it.

This extension is bundled with PostgreSQL and allows you detailed query monitoring. Its overhead on the database system is minimal, and it is required to use pganalyze.

Please see self-hosted systems or Amazon RDS instructions on how to add it to your database.

In addition you will need to either use the database superuser (usually "postgres") to give pganalyze access to your database, or create a special restricted monitoring user.

You don't need to run anything else on your database server - the pganalyze container will connect to your database at regular intervals to gather information from PostgreSQL's statistics tables.

Step 6: Add Your First Database to pganalyze

You can now fill out the "New Database" form. Once you click "Add Database" the collector running inside the container will update, and start collecting information within 10 minutes.

Initially, until sufficient information is available, your screen will look like this:

server empty

You can check whether any information has been received by clicking the "Server Settings" link in the left navigation, and scrolling down to the "Debug Info" section:

debug info no data

Once data is coming in successfully, the "Debug Info" looks like this:

debug info with data

Be aware that some graphs need at least a few hours worth of data and might not work properly before. It is therefore recommended that you wait for up to 24 hours before evaluating the system more closely.

Once the system has collected sufficient data it should look similar to this:

dashboard with data

Step 7: Adding Additional Team Members

For regular setups, you can invite additional team members on a per-database basis, through the Settings screen.

With LDAP authentication you can simply direct your colleagues to the root of your pganalyze URL, an account will be created when they first login.

Note that only users with the "Manage" permission can add new databases (see Permissions and Roles).

Couldn't find what you were looking for or want to talk about something specific?
Start a conversation with us →