performance-addon-operators | Operators related to optimizing OpenShift clusters

 by   openshift-kni Go Version: 4.7.1-1 License: Apache-2.0

kandi X-RAY | performance-addon-operators Summary

kandi X-RAY | performance-addon-operators Summary

performance-addon-operators is a Go library typically used in Edge Computing applications. performance-addon-operators has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Operators related to optimizing OpenShift clusters for applications sensitive to cpu and network latency
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            kandi-support Support

              performance-addon-operators has a low active ecosystem.
              It has 36 star(s) with 51 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 10 open issues and 23 have been closed. On average issues are closed in 42 days. There are 11 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of performance-addon-operators is 4.7.1-1

            kandi-Quality Quality

              performance-addon-operators has no bugs reported.

            kandi-Security Security

              performance-addon-operators has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              performance-addon-operators 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.

            kandi-Reuse Reuse

              performance-addon-operators releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed performance-addon-operators and discovered the below as its top functions. This is intended to give you an instant insight into performance-addon-operators implemented functionality, and help decide if they suit your requirements.
            • generateUnifiedCSV generates an operatorCSV
            • NewNodePerformance returns a tuned version of NodePerformance
            • Reconcile reconciles a PerformanceProfile object
            • getIgnitionConfig builds an IgnitionConfig from the assets directory
            • runPAO starts the PAO server
            • NewRootCommand returns a new cobra root command
            • makeSnapshot creates a snapshot
            • getPoolsForNode returns the machine config pools for the given node .
            • getDataFromFlags fetches data from command line flags .
            • getProfileData returns the profile data for a given cluster
            Get all kandi verified functions for this library.

            performance-addon-operators Key Features

            No Key Features are available at this moment for performance-addon-operators.

            performance-addon-operators Examples and Code Snippets

            Building and pushing z-stream release
            Godot img1Lines of Code : 8dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            export CSV_CHANNEL="4.y"
            export CSV_VERSION="4.y.z"
            export CSV_FROM_VERSION="4.y.z-1"
            export IMAGE_TAG=4.x.y
            export OPERATOR_VERSION=4.y.z
            export CSV_SKIP_RANGE=">=4.y-1.0 <4.y.z
            make build-containers
            make push-containers
              
            Building a custom CSV
            Godot img2Lines of Code : 6dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            export IMAGE_REGISTRY="quay.io"
            export REGISTRY_NAMESPACE="some-operator=repo-namespace"
            export IMAGE_TAG="some-operator-image-tag"
            export CSV_VERSION="0.0.3"
            
            export REPLACES_CSV_VERSION="0.0.2"
            export CSV_SKIP_RANGE=">=0.0.1 <0.0.2"
              
            Testing,Func tests,Latency test
            Godot img3Lines of Code : 6dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            docker run --rm -v /kubeconfig:/kubeconfig \
            -e KUBECONFIG=/kubeconfig \
            -e LATENCY_TEST_RUN=true \
            -e LATENCY_TEST_RUNTIME=60 \
            -e MAXIMUM_LATENCY=700 \
             quay.io/openshift-kni/cnf-tests /usr/bin/run-tests.sh
              

            Community Discussions

            QUESTION

            Skooma input validator
            Asked 2022-Feb-03 at 15:35

            I was given a task to implement an input validator with the Skooma library https://github.com/bobfp/skooma#validators

            The general concept is pretty clear, but for some inputs I have a list of "legal" words, and I have zero clue on how to implement the validation for this case. Hence why I came here, I wanted to ask if you know any examples / projects that used this library? I googled but didn't find anything. Of if you have any other tipps just let me know! 🙂 This is the example:

            my schema:

            ...

            ANSWER

            Answered 2022-Jan-31 at 00:05

            You need a custom validator function, here's an example:

            Source https://stackoverflow.com/questions/70913797

            QUESTION

            How do I create a Near Edge computing system? (Send sensor data with Raspberry Pi/DHT11 sensor)
            Asked 2021-Jan-22 at 10:01

            I am working on edge computing for IoT applications and expected to create a system that acts as a near edge computer with the use of a raspberry pi hooked up to a dht11 sensor. How do I send this data over to a computer that is at the edge? Ideally I want to use my PC as this device but I have no clue how to send this data over in real time.

            So far I have created the circuit and can view the temperature and humidity readings on the raspberry pi in python. Unsure of what the next steps are - I don't want to send this data over to the cloud just yet.

            Side note: I believe i may be missing knowledge regarding this but is the raspberry pi an edge device because it is hooked up to the sensor directly?

            Any help is greatly appreciated.

            ...

            ANSWER

            Answered 2021-Jan-22 at 10:01

            You need to think this through a bit more. What will you do with the temperature and humidity data that you receive?

            For example, if you're just experimenting and want to just see the readings in a console on your PC, you can use netcat to send the console output of your Python program from the RPi to PC. No SW development needed, they just have to be in the same network. Not particularly useful for anything else, either.

            Otherwise you need to set up some client-server solution between the RPi and your PC. There's a ton of possible solutions, all depending on what you plan to do with the data. You can use MQTT, HTTP, a straight database connection (MySQL, PostgreSQL), etc. You have to supply both sides of the connection. The Python code on client side which connects and sends data; and the server side thing that accepts the samples and stores them somewhere. Plus all the networking, authentication etc.

            Or you can just download the Python client libraries for your favourite cloud solution and set that up according to a tutorial. TBH, this sounds a lot less work to me.

            Source https://stackoverflow.com/questions/65835920

            QUESTION

            What is the time complexity of this peudo code?
            Asked 2020-Jun-21 at 12:16

            I don't have a lot of knowledge computing the complexity. Can you help estimate the complexity of the following pseudo-codes?

            Algorithm 1:

            ...

            ANSWER

            Answered 2020-Jun-21 at 11:50
            Algorithm1
            1. The algorithm1 will first perform simple multiplication and addition on vectors. Assuming that it loops from start to end on each vector and performs some calculations, the number of iterations made would be 3*N which would be considered O(N)

            Source https://stackoverflow.com/questions/62497868

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

            Vulnerabilities

            No vulnerabilities reported

            Install performance-addon-operators

            You can download it from GitHub.

            Support

            When the deployment fails, or the performance tuning does not work as expected, follow the Troubleshooting Guide for debugging the cluster. Please provide as much info from troubleshooting as possible when reporting issues. Thanks!.
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          • CLI

            gh repo clone openshift-kni/performance-addon-operators

          • sshUrl

            git@github.com:openshift-kni/performance-addon-operators.git

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