Skip to main content

Monitor and manage your Redshift cluster.

Project description

# Redshift Console

_Redshift Console_'s goal is to be the tool to monitor and manage a Redshift cluster. The first release has basic tools to monitor running queries, WLM queue and your tables/schemas.

After over a year of managing our Redshift cluster with a collection of scripts and queries, we decided to bundle this into a more user friendly tool that can be used by a wider audience. This project also aims to uncover all the useful information hidden in [Redshift's Developer Guide]( (such as the [table design status]( query).


### Features

* Inflight queries view with option to cancel any query and view related alerts (when available; from [STL_ALERT_EVENT_LOG](
* WLM queue view.
* Schemas view with additional information for each table including: total size (rows/MB), unsorted area size, is the table properly distributed and more.
* Load errors (aggregated view) from the past 24h, based on [STL_LOAD_ERRORS](

### Roadmap

This project is safe for usage, but still in its early stage (version 0.1). Future versions will include:

* Loads - Progress of current operations and history of recent ones.
* Vacuum status.
* SNS/CloudWatch integration to show metrics and events from AWS' console.
* Proactive notifications re. important events in the system: long running queries, problems, changes to the schema, dangerous levels of unsorted areas and more.

We are always happy to receive feedback and suggestions, especially if they are accompanied by a pull request.

## Usage

You can either use the PyPI package or the docker image.

#### PyPI

1. The easiest way to install the project is from pypi:

$ pip install redshift-console

2. Settings are set from environment variables. The main setting to set is the connection string to your Redshift cluster: (make sure the user has sufficient permissions)

$ export REDSHIFT_CONNECTION_STRING='user= password= host= port= dbname='

3. Start the server:

$ redshift-console runserver
Starting server on port 5000 (debug mode: False).

#### Docker
$ docker run -e REDSHIFT_CONNECTION_STRING="user= password= host= port=5439 dbname=" -p 5000:5000 everythingme/redshift-console
Starting server on port 5000 (debug mode: False).

## Authors

[Arik Fraimovich]( and [Oren Itamar](

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for redshift-console, version 0.1.3
Filename, size File type Python version Upload date Hashes
Filename, size redshift-console-0.1.3.tar.gz (1.4 MB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page