deploystream | Track the progress of feature development | Video Utils library

by pretenders JavaScript Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | deploystream Summary

deploystream is a JavaScript library typically used in Video, Video Utils applications. deploystream has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Track the progress of feature development across repositories gathering information from a multitude of sources.

Support

Quality

Security

License

Reuse

Support

deploystream has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 27 open issues and 12 have been closed. On average issues are closed in 12 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of deploystream is current.

Quality

deploystream has 0 bugs and 0 code smells.

Security

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

deploystream code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

deploystream does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

deploystream releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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deploystream Key Features

No Key Features are available at this moment for deploystream.

deploystream Examples and Code Snippets

No Code Snippets are available at this moment for deploystream.

Community Discussions

Trending Discussions on deploystream

Spring Cloud DataFlow Kubernetes Server does not work with valid docker URIs

QUESTION

Spring Cloud DataFlow Kubernetes Server does not work with valid docker URIs

Asked 2018-Apr-10 at 09:57

I am in the process of upgrading a Spring Cloud DataFlow Kubernetes Server deployment from 1.2.2.RELEASE to 1.3.1.RELEASE, testing it with minikube.

After fixing invalid docker URIs (docker: to docker://) and successfully seeing apps registered in the shell, the deployment to the kubernetes server ultimately fails. With a simple stream:

...

ANSWER

Answered 2018-Mar-12 at 18:03

We have recently discussed a similar issue in spring-cloud/spring-cloud-dataflow#2065.

As highlighted in the comment, the Docker resource URIs are expected to be of a certain format starting from 1.3 release.

In your case, the Docker URI should have been:

dataflow:>app register --name rabbitsink --type sink --uri docker:myrepo/rabbitsink:current

If the above format is not followed, the Shell would fail-fast with a validation message. The stream won't be deployed; no pods should show up for the apps either. Here's the validation message on my minikube environment.

Command failed org.springframework.cloud.dataflow.rest.client.DataFlowClientException: Invalid docker resource URI: docker:192.168.99.100:80/myrepo/rabbitsink:current

I'd recommend starting fresh. You could also use the helm-chart (Docs for Minikube is in PR) to simplify the provisioning experience.

Source https://stackoverflow.com/questions/49239114

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

Vulnerabilities

No vulnerabilities reported

Install deploystream

You’ll need to create a ``github_auth.py`` file with an application’s APP_ID and APP_SECRET from github. These are used to represent deploystream as an application that will be granted access to your own GitHub account. Alter the configuration of GITHUB_CONFIG in local_settings.py to point to the repo of choice.

Support

There are three different types of provider that can be written for deploystream. Each have different expectations of what functions they need to provide and what values they return.

Find more information at: