Skip to main content

Cloud Intelligence Dashboards deployment helper tool

Project description

Cloud Intelligence Dashboards (CUDOS Framework)

PyPI version

Welcome to Cloud Intelligence Dashboards (CUDOS Framework) automation repository

This repository contains CloudFormation templates, Terraform modules, and a Command Line tool (cid-cmd) for managing various dashboards provided in AWS Well Architected LAB Cloud Intelligence Dashboards.

There are several ways we can manage dashboards:

  1. CloudFormation Template (using cid-cmd tool in lambda)
  2. Terraform module (wrapper around CloudFormation Template)
  3. Using cid-cmd tool from command line

We recommend cid-cmd tool via AWS CloudShell.

Supported dashboards


Dashboard documentation Demo URL Prerequisites URL
CUDOS Dashboard demo link
Cost Intelligence Dashboard demo link
Trusted Advisor Organisation (TAO) Dashboard demo link
Trends Dashboard demo link
KPI Dashboard demo link
Compute Optimizer Dashboard demo link
Cost Anomaly Dashboard demo link
Data Transfer Cost Dashboard demo link

See more dashboards on the workshop page.

Before you start

  1. :heavy_exclamation_mark: Complete the prerequisites for respective dashboard (see above).
  2. :heavy_exclamation_mark: Specifying a Query Result Location Using a Workgroup
  3. :heavy_exclamation_mark: Make sure QuickSight Enterprise edition is activated.

Command line tool cid-cmd

Demo: Deployment of Dashboards with cid-cmd tool

asciicast

Install

  1. Launch AWS CloudShell or your local shell

    Automation requires Python 3

  2. Make sure you have the latest pip package installed

    python3 -m ensurepip --upgrade
    
  3. Install CID Python automation PyPI package

    pip3 install --upgrade cid-cmd
    

Dasbhoard Deployment

cid-cmd deploy

Update existing Dashboards

Update only Dashboard

cid-cmd update

Update dashboard and all dependencies (Datasets and Athena View). WARNING: this will override any customization of SQL files and Datasets.

cid-cmd update --force --recursive

Show Dashboard Status

Show dashboards status

cid-cmd status

status

Share QuickSight resources

cid-cmd share

Initialize Amazon QuickSight

One time action to initialize Amazon QuickSight Enterprise Edition.

cid-cmd init-qs

Initialize CUR

One time action to initialize Athena table and Crawler from s3 with CUR data.

cid-cmd init-cur

Delete Dashboard and all dependencies unused by other

Delete Dashboards and all dependencies unused by other CID-managed dashboards.(including QuickSight datasets, Athena views and tables)

cid-cmd delete

Delete Command Options:

 --dashboard-id TEXT QuickSight dashboard id
 --athena-database TEXT Athena database

Export

The command export lets you download or share a customized dashboard with another AWS Account. It takes the QuickSight Analysis as an input and generates all the assets needed to deploy your Analysis into another AWS Account. This command will generate a yaml file with a description of the Dashboard and all required Datasets. Also this command generates a QuickSight Template in the current AWS Account that can be used for Dashboard deployment in other accounts. The resource file can be used with all other cid commands. Both accounts must have relevant Athena Views and Tables.

Export from account A:

cid-cmd export

Deployment to account B:

cid-cmd deploy --resources ./mydashboard.yaml

See available commands and command line options

cid-cmd --help

CSV to Athena View

Generate and SQL file for Athena View for CSV file

cid-cmd csv2view --input my_mapping.csv --name my_mapping

This command generates a SQL file that you can execute. Please mind Athena Service Limit for Query Size.

Cloud Formation

CID is also provided in a form of CloudFormation templates. See detailed instructions in the Well Architected Labs site.

Terraform

CID offers a set of Terraform modules to deploy CUR replication and CID dashboards. These modules act as a wrapper around CloudFormation.

  1. Create a bucket for consolidating CUR terraform-modules/cur-setup-destination/
  2. Create a CUR in Payer Account(s) terraform-modules/cur-setup-source/
  3. Create Dashboards terraform-modules/cid-dashboards/

Rights Management

The ownership of CID is usually with the FinOps team, who do not have administrative access. However, they require specific privileges to install and operate CID dashboards. To assist the Admin team in granting the necessary privileges to the CID owners, a CFN template is provided. This template, located at CFN template, takes an IAM role name as a parameter and adds the required policies to the role.

Troubleshooting and Support

If you experience unexpected behaviour of the cid-cmd script please run cid-cmd in debug mode:

cid-cmd -vv [command]

This will produce a log file in the same directory that were at the tile of launch of cid-cmd.

:heavy_exclamation_mark:Inspect the produced debug log for any sensitive information and anonymize it.

We encourage you to open new issue with description of the problem and attached debug log file.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

cid_cmd-0.3.8.tar.gz (171.9 kB view details)

Uploaded Source

Built Distribution

cid_cmd-0.3.8-py2.py3-none-any.whl (230.7 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file cid_cmd-0.3.8.tar.gz.

File metadata

  • Download URL: cid_cmd-0.3.8.tar.gz
  • Upload date:
  • Size: 171.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for cid_cmd-0.3.8.tar.gz
Algorithm Hash digest
SHA256 3cb6c038ecd2b07e9a8dcda34f2001cb1ae206c0a95a7b1e2b7ac0d0be73fc17
MD5 5d122a3e9caf1a7c543124ca160c088f
BLAKE2b-256 584e6804ac2522502653b0d5abf02743fa615a47c7cb09fe703e3f6c3ccbf573

See more details on using hashes here.

File details

Details for the file cid_cmd-0.3.8-py2.py3-none-any.whl.

File metadata

  • Download URL: cid_cmd-0.3.8-py2.py3-none-any.whl
  • Upload date:
  • Size: 230.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for cid_cmd-0.3.8-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 1579d58b8149fa560af657940e9a04b0fe1d95f7be11482a372fa49c240ed705
MD5 8dab173eeb27632557a0111f197e634b
BLAKE2b-256 7801905690d472e7049568f1dda1a8f53af14eaff9556473e47ad7f2b73b3a8d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page