kandi X-RAY | flask-deploy Summary
kandi X-RAY | flask-deploy Summary
flask-deploy
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- Create a Flask app .
- returns the configuration as a dictionary
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- Get task result .
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flask-deploy Key Features
flask-deploy Examples and Code Snippets
Community Discussions
Trending Discussions on flask-deploy
QUESTION
In order to apply Kubernetis for the first time as a backend developer of a startup, I looked for AWS' guide to EKS and found a good document and followed it.
The link to the guide is as follows. https://aws-eks-web-application.workshop.aws/en/10-intro.html
Here, I proceeded with the start with an AWS Account method on 2-1, and I'm omitting all the previous options.
ex. 5-2. (Option) Add Console Credential
In the initial attempt, we proceeded with the process with Option, because we continued to fail in the progress application stage and are trying new things.
All processes were easy until "10-1. Apply HPA stage".
However, when I checked the HPA Status through the kubectl get hpa command, CPU usage was marked as unknown.
The guide said that if you try a little later, it will come out properly, so I tried it an hour later, but it was the same.
So, when I checked the status through the kubectl describe hpa command, I found that there was an error due to the missing cpu request as below.
...ANSWER
Answered 2021-Sep-14 at 10:18You need to install metrics-server to get cpu and memory metrics.
QUESTION
ANSWER
Answered 2021-Apr-04 at 11:16Actually 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.
QUESTION
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 08:10This 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:
QUESTION
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 12:39Whatever 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
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Install flask-deploy
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.
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