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cid-cmd-0.2.9
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تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
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مشاهده بیشترتوضیحات
Cloud Intelligence Dashboards deployment helper tool
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | cid-cmd-0.2.9 |
| نام | cid-cmd |
| نسخه کتابخانه | 0.2.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | AWS CUDOS Team |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://github.com/aws-samples/aws-cudos-framework-deployment |
| آدرس اینترنتی | https://pypi.org/project/cid-cmd/ |
| مجوز | MIT |
# Cloud Intelligence Dashboards (CUDOS Framework)
[](https://badge.fury.io/py/cid-cmd)
## Welcome to Cloud Intelligence Dashboards (CUDOS Framework) automation repository
This repository contains CloudFormation templates and Command Line tool (cid-cmd) for managing various dashboards provided in AWS Well Architected LAB [Cloud Intelligence Dashboards](https://www.wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/).
There are several ways we can manage dashboards:
1. CloudFormation Template (using cid-cmd tool in lambda)
2. Using cid-cmd tool from command line
We recommend cid-cmd tool via [AWS CloudShell](https://console.aws.amazon.com/cloudshell/home).
## Supported dashboards
---
| Dashboard documentation | Demo URL | Prerequisites URL |
| --- | --- | --- |
| [CUDOS Dashboard](https://www.wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/cost-usage-report-dashboards/dashboards/2b_cudos_dashboard/) | [demo](https://d1s0yx3p3y3rah.cloudfront.net/anonymous-embed?dashboard=cudos) | [link](https://wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/cost-usage-report-dashboards/dashboards/alternative_deployments/) |
| [Cost Intelligence Dashboard](https://www.wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/cost-usage-report-dashboards/dashboards/2a_cost_intelligence_dashboard/) | [demo](https://d1s0yx3p3y3rah.cloudfront.net/anonymous-embed?dashboard=cost_intelligence_dashboard) | [link](https://wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/cost-usage-report-dashboards/dashboards/alternative_deployments/) |
| [Trusted Advisor Organisation (TAO) Dashboard](https://www.wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/trusted-advisor-dashboards/) | [demo](https://d1s0yx3p3y3rah.cloudfront.net/anonymous-embed?dashboard=e1799d0d-166c-4e61-8fa6-5c927f70c799) | [link](https://wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/trusted-advisor-dashboards) |
| [Trends Dashboard](https://www.wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/cost-usage-report-dashboards/dashboards/3_additional_dashboards/#trends-dashboard) | [demo](https://d1s0yx3p3y3rah.cloudfront.net/anonymous-embed?dashboard=trends-dashboard) | [link](https://wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/cost-usage-report-dashboards) |
| [KPI Dashboard](https://wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/cost-usage-report-dashboards/dashboards/deploy_dashboards/) | [demo](https://d1s0yx3p3y3rah.cloudfront.net/anonymous-embed?dashboard=kpi) | [link](https://wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/cost-usage-report-dashboards/dashboards/alternative_deployments/) |
| [Compute Optimizer Dashboard](https://www.wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/compute-optimizer-dashboards/) | [demo](https://d1s0yx3p3y3rah.cloudfront.net/anonymous-embed?dashboard=compute-optimizer-dashboard) | [link](https://wellarchitectedlabs.com/cost/200_labs/200_cloud_intelligence/compute-optimizer-dashboards) |
## 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](https://docs.aws.amazon.com/athena/latest/ug/querying.html#query-results-specify-location-workgroup)
3. :heavy_exclamation_mark: Make sure QuickSight [Enterprise edition](https://aws.amazon.com/premiumsupport/knowledge-center/quicksight-enterprise-account/) is activated.
## How to use for Dasbhoard Deployment
1. Launch [AWS CloudShell](https://console.aws.amazon.com/cloudshell/home) or your local shell
Automation requires Python 3
2. Make sure you have latest pip package installed
```bash
python3 -m ensurepip --upgrade
```
4. Install CID Python automation PyPI package
```bash
pip3 install --upgrade cid-cmd
```
5. Deploy the Dashboards
```bash
cid-cmd deploy
```
### Demo
[](https://asciinema.org/a/467770)
## Other Commands
#### Update existing Dashboards
Update only Dashboard
```bash
cid-cmd update
```
Update dashboard and all dependenies (Datasets and Athena View). WARNING: this will overide any customization of SQL files and Datasets.
```bash
cid-cmd update --force --recursive
```
#### Show Dashboard status
Show dashboards status
```bash
cid-cmd status
```
#### Share QuickSight resources
```bash
cid-cmd share
```
#### 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)
```bash
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
```
## Troubleshooting
If you experience unexpected behaviour of the cid-cmd script please run cid-cmd in debug mode
```bash
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 anonymise it.
We encourage you to open [new issue](https://github.com/aws-samples/aws-cudos-framework-deployment/issues/new) with description of the problem and attached debug log file.
نیازمندی
| مقدار | نام |
|---|---|
| - | setuptools |
| >=1.26 | boto3 |
| >=8.0 | Click |
| - | deepmerge |
| - | PyYAML |
| - | requests |
| >=1.15 | six |
| >=1.10 | questionary |
نحوه نصب
نصب پکیج whl cid-cmd-0.2.9:
pip install cid-cmd-0.2.9.whl
نصب پکیج tar.gz cid-cmd-0.2.9:
pip install cid-cmd-0.2.9.tar.gz