flask-deploy | Check out the blog post | Blog library

 by   realpython Python Version: Current License: No License

kandi X-RAY | flask-deploy Summary

kandi X-RAY | flask-deploy Summary

flask-deploy is a Python library typically used in Web Site, Blog applications. flask-deploy has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Check out the blog post:
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            kandi-support Support

              flask-deploy has a low active ecosystem.
              It has 129 star(s) with 43 fork(s). There are 12 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 1 have been closed. On average issues are closed in 4 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of flask-deploy is current.

            kandi-Quality Quality

              flask-deploy has 0 bugs and 2 code smells.

            kandi-Security Security

              flask-deploy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              flask-deploy code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              flask-deploy does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              flask-deploy releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              flask-deploy saves you 37 person hours of effort in developing the same functionality from scratch.
              It has 99 lines of code, 12 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed flask-deploy and discovered the below as its top functions. This is intended to give you an instant insight into flask-deploy implemented functionality, and help decide if they suit your requirements.
            • Create the plugin
            • Configure Nginx
            • Install Flask
            • Configure the git repository
            • Configure supervisor proxy
            • Install requirements
            Get all kandi verified functions for this library.

            flask-deploy Key Features

            No Key Features are available at this moment for flask-deploy.

            flask-deploy Examples and Code Snippets

            Setup
            Pythondot img1Lines of Code : 1dot img1no licencesLicense : No License
            copy iconCopy
            $ fab create
            
              

            Community Discussions

            QUESTION

            How can I use LoadBalancer in BareMetal -KinD?
            Asked 2021-Apr-04 at 18:29

            My question is totally simple that is related to kubernetes awesome tool called KinD. I am using KinD for my flask application:

            ...

            ANSWER

            Answered 2021-Apr-04 at 11:16

            Actually for bare metal server you should use another solution except of LoadBalancer to expose your application such as NodePort, Ingress and so on. Because LoadBalancer service type just for Cloud providers like Google, Azure, AWS and etc.

            Check official documentation for LoadBalancer

            Follow below way with thinking that you are using NodePort instead of LoadBalancer, NodePort service type also load balance traffic between pods ıf you are looking forward just balancing feature ;

            You need to use http://172.42.42.101:30160 from outside of the host which is running containers on. Port 6000 is just accessible inside the cluster with internal IP (10.96.244.204 is in your case). Whenever you expose your deployment, automatically (also you can define manually) one of the NodePort (by default between 30000 - 32767)assign to the service for external request.

            For service details, you need to run the below command. The command output will give you NodePort and another details.

            Source https://stackoverflow.com/questions/66939355

            QUESTION

            Kube-Prometheus-Stack Helm Chart v14.40 : Node-exporter and scrape targets unhealthy in Docker For Mac Kubernetes Cluster on macOS Catalina 10.15.7
            Asked 2021-Apr-02 at 11:15

            I have installed kube-prometheus-stack as a dependency in my helm chart on a local Docker for Mac Kubernetes cluster v1.19.7.

            The myrelease-name-prometheus-node-exporter service is failing with errors received from the node-exporter daemonset after installation of the helm chart for kube-prometheus-stack is installed. This is installed in a Docker Desktop for Mac Kubernetes Cluster environment.

            release-name-prometheus-node-exporter daemonset error log

            ...

            ANSWER

            Answered 2021-Apr-01 at 08:10

            This issue was solved recently. Here is more information: https://github.com/prometheus-community/helm-charts/issues/467 and here: https://github.com/prometheus-community/helm-charts/pull/757

            Here is the solution (https://github.com/prometheus-community/helm-charts/issues/467#issuecomment-802642666):

            [you need to] opt-out the rootfs host mount (preventing the crash). In order to do that you need to specify the following value in values.yaml file:

            Source https://stackoverflow.com/questions/66893031

            QUESTION

            error validating matchExpression when using podAffinity and podAntiaffinity
            Asked 2021-Feb-18 at 12:53

            I am trying to create a podAffinity for the replicas of my deployment to be deployed in different nodes within my GCP cluster, I have followed the documentation an this site https://thenewstack.io/implement-node-and-pod-affinity-anti-affinity-in-kubernetes-a-practical-example/ but I get this error when executing apply:

            ...

            ANSWER

            Answered 2021-Feb-18 at 12:39

            Whatever key-value you specify in matchExpressions also needs to be in labels and matchLabels of the pod spec instead of metadata section.It should be as below

            Source https://stackoverflow.com/questions/66260027

            QUESTION

            Kubernetes NGINX can't find uWSGI application server but working with docker-compose
            Asked 2019-Sep-17 at 06:59

            I have an application with two images, one running NGINX and the other one running Flask/uWSGI. It works as expected using docker-compose. Now I try to deploy my application on a Kubernetes cluster, but I am unable to make a connection between NGINX and my uWSGI application server.

            The logs is my nginx deployment say:

            2019/09/13 11:29:53 [error] 6#6: *21 upstream timed out (110: Connection timed out) while connecting to upstream, client: 10.244.0.1, server: , request: "GET / HTTP/1.1", upstream: "uwsgi://10.0.232.218:8080", host: "52.166.xxxxxx"

            However, it appears my flask service is running correctly.

            ...

            ANSWER

            Answered 2019-Sep-17 at 06:59

            I think the solution here is that you change a couple of settings, namely your service should use a ClusterIP as NodePort serves a different purpose (read more here https://kubernetes.io/docs/concepts/services-networking/service/#nodeport):

            Source https://stackoverflow.com/questions/57923691

            QUESTION

            How do I extract a Keras model from a Jupyter notebook to embed in a Flask web app?
            Asked 2018-Oct-16 at 10:57

            I want to take my Keras model out of this Jupyter notebook: my dog breed classifier

            and put it in this provided web app: https://github.com/mtobeiyf/keras-flask-deploy-webapp

            I saw this: How to save final model using keras?

            But I'm wondering if anyone can provide more details, ie. do I save the model and weights separately?

            Also if anybody has links to a step-by-step tutorial, etc.

            ...

            ANSWER

            Answered 2018-Oct-16 at 10:57

            QUESTION

            WSGI error migrating Python/Flask app from Heroku to Azure
            Asked 2018-Jun-18 at 16:48

            I've hit a wall deploying a small Flask app to Azure. The app runs fine locally and on Heroku, but returns an internal server error on Azure. Here's the log:

            logs.txt

            ...

            ANSWER

            Answered 2018-Jun-18 at 16:48

            Try defining wsgi_app:

            Source https://stackoverflow.com/questions/50913981

            QUESTION

            Kubernetes minikube, cannot expose service on public ip range
            Asked 2017-Oct-07 at 11:06

            So I've been playing around with Minkube.

            I've managed to deploy a simple python flask container:

            ...

            ANSWER

            Answered 2017-Oct-07 at 10:35

            First, check the nodeport that is assigned to your service:

            Source https://stackoverflow.com/questions/46618683

            QUESTION

            Nginx Gunicorn Flask SupervisorCtl - entered site is showing wrong site
            Asked 2017-Aug-19 at 00:29

            I have a webserver that runs Nginx Gunicorn Flask SupervisorCtl however, after I added a supervisorctl config:

            ...

            ANSWER

            Answered 2017-Aug-18 at 21:07

            You need to check a few things when this happens. Number 1, after updating your NGINX virtual host did you run?

            Source https://stackoverflow.com/questions/45765017

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

            Vulnerabilities

            No vulnerabilities reported

            Install flask-deploy

            You can download it from GitHub.
            You can use flask-deploy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/realpython/flask-deploy.git

          • CLI

            gh repo clone realpython/flask-deploy

          • sshUrl

            git@github.com:realpython/flask-deploy.git

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