qhub | QHub deployment tool | Infrastructure Automation library

by Quansight Python Version: v0.3.0 License: BSD-3-Clause

X-Ray Key Features Code Snippets(3)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | qhub Summary

qhub is a Python library typically used in Devops, Infrastructure Automation, Jupyter applications. qhub has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Automated data science platform. From JupyterHub to Cloud environments with Dask Gateway. QHub is an open source tool that enables users to build and maintain cost-effective and scalable compute/data science platforms on hpc or on kubernetes with minimal DevOps experience. Not sure what to choose? Check out our FAQ.

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Quality

Security

License

Reuse

Support

qhub has a low active ecosystem.

It has 64 star(s) with 19 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 115 open issues and 169 have been closed. On average issues are closed in 25 days. There are 12 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of qhub is v0.3.0

Quality

qhub has 0 bugs and 27 code smells.

Security

qhub has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

qhub code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

License

qhub is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

qhub releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

qhub saves you 695 person hours of effort in developing the same functionality from scratch.

It has 1739 lines of code, 69 functions and 53 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed qhub and discovered the below as its top functions. This is intended to give you an instant insight into qhub implemented functionality, and help decide if they suit your requirements.

Render a config file
Creates a new JupyterHub client
Auto - provision credentials
Auto provisioning repo
Logs the kubernetes services
Calculate the note group
Return a QHub
Wrapper for Qhub upgrade
Backup a config file
Command line interface
Command line options
Tries to connect to Vubernetes
Stage the terraform state
List pod logs
Return options for a user
Create a GitHub repository
Upgrade the configuration file
Handle keycloak export
Render the available profiles
Validate configuration
Render a file
Stage 5k - kubernetes client
Create a deploy stage
Creates a keycloak connection
Manage qhub support
Prepare infrastructure

Get all kandi verified functions for this library.

qhub Key Features

No Key Features are available at this moment for qhub.

qhub Examples and Code Snippets

Install

Python

Lines of Code : 12

License : Permissive (BSD-3-Clause)

Copy

qhub --help

usage: qhub [-h] [-v] {deploy,destroy,render,init,validate} ...

QHub command line

positional arguments:
  {deploy,destroy,render,init,validate}
                        QHub - 0.3.0

optional arguments:
  -h, --help            show this

QHub,Usage

Python

Lines of Code : 2

License : Permissive (BSD-3-Clause)

Copy

qhub init   ... # generates initial config file and optionally automates deployment steps
qhub deploy ... # creates and configures the cloud infrastructure

QHub,Developer

Python

Lines of Code : 1

License : Permissive (BSD-3-Clause)

Copy

pip install git+https://github.com/Quansight/qhub.git@dev

Community Discussions

Trending Discussions on Infrastructure Automation

Create CloudFormation Yaml from existing RDS DB instance (Aurora PostgreSQL)

Azure DevOps CI with Web Apps for Containers

QUESTION

Create CloudFormation Yaml from existing RDS DB instance (Aurora PostgreSQL)

Asked 2020-Jun-05 at 00:59

I have an RDS DB instance (Aurora PostgreSQL) setup in my AWS account. This was created manually using AWS Console. I now want to create CloudFormation template Yaml for that DB, which I can use to create the DB later if needed. That will also help me replicate the DB in another environment. I would also use that as part of my Infrastructure automation.

...

ANSWER

Answered 2020-Jun-05 at 00:59

Unfortunately, there is no such functionality provided by AWS.

However, you mean hear about two options that people could wrongfully recommend.

CloudFormer

CloudFormer is a template creation beta tool that creates an AWS CloudFormation template from existing AWS resources in your account. You select any supported AWS resources that are running in your account, and CloudFormer creates a template in an Amazon S3 bucket.

Although it sounds good, the tool is no longer maintained and its not reliable (for years in beta).

Importing Existing Resources Into a Stack

Often people mistakenly think that this "generates yaml" for you from existing resources. The truth is that it does not generate template files for you. You have to write your own template which matches your resource exactly, before you can import any resource under control to CloudFormation stack.

Your only options is to manually write the template for the RDS and import it, or look for an external tools that could reverse-engineer yaml templates from existing resources.

Source https://stackoverflow.com/questions/62206364

QUESTION

Azure DevOps CI with Web Apps for Containers

Asked 2020-Mar-16 at 08:59

I'm struggling to set up a CI process for a web application in Azure. I'm used to deploying built code directly into Web Apps in Azure but decided to use docker this time.

In the build pipeline, I build the docker images and push them to an Azure Container Registry, tagged with the latest build number. In the release pipeline (which has DEV, TEST and PROD), I need to deploy those images to the Web Apps of each environment. There are 2 relevant tasks available in Azure releases: "Azure App Service deploy" and "Azure Web App for Containers". Neither of these allow the image source for the Web App to be set to Azure Conntainer Registry. Instead they take custom registry/repository names and set the image source in the Web App to Private Registry, which then requires login and password. I'm also deploying all Azure resources using ARM templates so I don't like the idea of configuring credentials when the 2 resources (the Registry and the Web App) are integrated already. Ideally, I would be able to set the Web App to use the repository and tag in Azure Container Registry that I specify in the release. I even tried to manually configure the Web Apps first with specific repositories and tags, and then tried to change the tags used by the Web Apps with the release (with the tasks I mentioned) but it didn't work. The tags stay the same.

Another option I considered was to configure all Web Apps to specific and permanent repositories and tags (e.g. "dev-latest") from the start (which doesn't fit well with ARM deployments since the containers need to exist in the Registry before the Web Apps can be configured so my infrastructure automation is incomplete), enable "Continuous Deployment" in the Web Apps and then tag the latest pushed repositories accordingly in the release so they would be picked up by Web Apps. I could not find a reasoble way to add tags to existing repositories in the Registry.

What is Azure best practice for CI with containerised web apps? How do people actually build their containers and then deploy them to each environment?

...

ANSWER

Answered 2020-Mar-16 at 08:59

Just set up a CI pipeline for building an image and pushing it to a container registry.

You could then use both Azure App Service deploy and Azure Web App for Containers task to handle the deploy.

The Azure WebApp Container task similar to other built-in Azure tasks, requires an Azure service connection as an input. The Azure service connection stores the credentials to connect from Azure Pipelines or Azure DevOps Server to Azure.

I'm also deploying all Azure resources using ARM templates so I don't like the idea of configuring credentials when the 2 resources (the Registry and the Web App)

You could also be able to Deploy Azure Web App for Containers with ARM and Azure DevOps.

How do people actually build their containers and then deploy them to each environment?

Kindly take a look at below blogs and official doc which may be helpful:

Source https://stackoverflow.com/questions/60693622

Community Discussions, Code Snippets contain sources that include Stack Exchange Network