kraken-hub | inject failures into Kubernetes/OpenShift clusters | Job Orchestrator library

by cloud-bulldozer Shell Version: Current License: Apache-2.0

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

kandi X-RAY | kraken-hub Summary

kraken-hub is a Shell library typically used in Data Processing, Job Orchestrator applications. kraken-hub has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Wrapper around to inject failures into Kubernetes/OpenShift clusters with minimal configuration.

Support

Quality

Security

License

Reuse

Support

kraken-hub has a low active ecosystem.

It has 3 star(s) with 5 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 11 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of kraken-hub is current.

Quality

kraken-hub has no bugs reported.

Security

kraken-hub has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

kraken-hub is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

kraken-hub releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of kraken-hub

Get all kandi verified functions for this library.

kraken-hub Key Features

No Key Features are available at this moment for kraken-hub.

kraken-hub Examples and Code Snippets

No Code Snippets are available at this moment for kraken-hub.

Community Discussions

Trending Discussions on Job Orchestrator

Azure OPC Publisher says "no job received" when trying to write OPC UA data to cloud

QUESTION

Azure OPC Publisher says "no job received" when trying to write OPC UA data to cloud

Asked 2020-May-24 at 13:58

im trying to follow those tutorials:

https://sandervandevelde.wordpress.com/2018/11/06/getting-started-with-opc-ua-on-azure-iot-edge/ and https://docs.microsoft.com/en-us/azure/iot-accelerators/howto-opc-publisher-run

to bring data from an opc-ua server to the azure cloud.

I have already successfully played through the https://docs.microsoft.com/en-us/azure/iot-edge/quickstart tutorial.

I think maybe the OPCPublisher does not find the configuration file?!

I set up the configuration file under C:\iiotedge\pn.json (with changed ip):

...

ANSWER

Answered 2020-May-24 at 13:58

Was facing the same issue. It looks like the container is not running in appdata but in app. I've changed the createOptions to:

Source https://stackoverflow.com/questions/61938039

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

Vulnerabilities

No vulnerabilities reported

Install kraken-hub

You can use docker or podman to run kraken-hub. Install Podman your certain operating system based on these instructions. Docker is also supported but all variables you want to set (separate from the defaults) need to be set at the command line In the form -e <VARIABLE>=<value>. You can take advantage of the get_docker_params.sh script to create your parameters string This will take all environment variables and put them in the form "-e = " to make a long string that can get passed to the command. For example: docker run $(./get_docker_params.sh) --net=host -v <path-to-kube-config>:/root/.kube/config:Z -d quay.io/openshift-scale/kraken:power-outages.

Support

Injects container failures based on the provided kill signal. Injects node failure through OpenShift/Kubernetes, cloud API's. Creates zone outage to observe the impact on the cluster, applications. Skews the time and date. Hogs CPU on the targeted nodes. Hogs memory on the targeted nodes. Hogs IO on the targeted nodes. Fails the components in a namespace by deleting it. Isolates application Ingress/Egress traffic to observe the impact on dependent applications and recovery/initialization timing. Shuts down the cluster for the specified duration and turns it back on to check the cluster health.

Find more information at: