I'm using GitLab CI/CD to automatically transfer the code after every push to the master branch. Everything is going well there. But when Kubernete gets the code, it throws this error message:
Extended error:
I need some help about that.
A CrashLoopBackoff error means that GKE is trying to launch a Pod but the containers within are crashing or being terminated.
There is no simple answer to this. This is a specific error within your application which could be caused by various reasons. You will have to investigate it by looking through the logs.
By the way, I found another thread that looks very similar to yours.
Related
I have Google cloud composer running in 2 GCP projects. I have updated composer environment variable in both. One composer restarted fine within few minutes. I have problem in another & it shows below error as shown in images.
Update operation failed. Couldn't start composer-agent, a GKE job that updates kubernetes resources. Please check if your GKE cluster exists and is healthy.
This is the error what I see when I enter the composer
This is the environment overview
GKE cluster notification
GKE pods overview
I am trying to find how to resolve the problem but I didn't find any satisfied answers. My colleagues are assuming firewall & org policies issue but I haven't changed any.
Can some one let me know what caused this problem as the google composer is managed by google & how to resolve this issue now?
Once the Cloud Composer is the managed resource and when the GKE which serves the environment for your composer is unhealthy you should try to contact Google Cloud Support. That GKE should work just fine and you do not need even know about its existence.
Also check whether you do not reacy any limits or quotas in your project.
When nothing helps recreation of Cloud Composer is always good idea.
I'm pretty new on Google Cloud, and I just wanted to deploy my first streamlit webapp. I'm on Windows in command line. I already did the Google Cloud "Hello World" Example, which worked without any error.
When I deploy the streamlit webapp, I got after 3-4 minutes waiting "Updating Server" the following error:
ERROR: (gcloud.app.deploy) Error Response: [9] Flex operation projects/XXXX/regions/us-central1/operations/f0c89d22-2d09-410d-bf99-fc49ad337800 error [FAILED_PRECONDITION]: An internal error occurred while processing task /app-engine-flex/flex_await_healthy/flex_await_healthy>2021-05-27T06:13:50.278Z10796.jc.0: 2021-05-27 06:15:32.787 An update to the [server] config option section was detected. To have these changes be reflected, please restart streamlit.
That's my app.yaml file:
service: default
runtime: custom
env: flex
manual_scaling:
instances: 1
resources:
cpu: 1
memory_gb: 0.5
disk_size_gb: 10
Posting my comment as an answer for better visibility and to summarize.
In this particular case, the error was caused by a mistake in the Dockerfile.
Here are some steps you can follow to fix or narrow down the error:
Try to deploy a test app to see the differences in configuration. Example.
Try deploying your app after updating the gcloud with gcloud components update command.
Make sure you run the SDK as an Admin.
If the error recurs, run the gcloud app deploy app.yaml --verbosity=debug to try getting more specified error.
It's good practice to include references in questions for folks who aren't familiar with e.g. Streamlit. I assume it's this: https://streamlit.io/
I suspect (!) that Streamlit does not (by default) satisfy App Engine's requirements:
A web app on port 8080
No additional (apt get) dependencies
No C-based dependencies
The Streamlit wiki references various deployment alternatives and includes Google Kubernetes Engine (aka GKE) (see below) but not App Engine.
This doesn't mean that it won't work on App Engine (standard) just that it may not be trivial.
The GKE instructions reference installing Cython an optimizing c-compiler and that gives me pause about using App Engine standard. Unless you're familiar with Kubernetes, I'd discourage you from trying GKE as there's more complexity.
So, it would be helpful if others with experience with Streamlit weigh in but, until then, you may wish to consider using Streamlit sharing.
It would be helpful if someone who has deployed Streamlit to App Engine (flexible?) or perhaps Cloud Run can provide an overview.
I am trying to use KubeFlow on GCP and I am following this codelab, but "click-to-deploy" is no longer supported so I followed the documentation of "kubectl and kpt". However, I keep getting this "You cannot perform this action because the Cloud SDK component manager is disabled for this installation." error and none of the solutions I found worked. I have 2 other friends told me they tried to make KubeFlow work since last year, it never worked, but I did see people post question about KubeFlow on Stackoverflow still, so I want to ask if it is still working, if so, where can I find a decent guide to follow?
Thanks!
I finally got it working. For that error message, it turned out that I just didn't install the Cloud SDK properly. There will be a lot of other issues too down the road, but at least the KubeFlow web UI is working for me now.
yes, as the kubectl and kpt says, the first step in getting prepared to install cluster is installing gcloud that is CLI that manages authentication, local configuration, developer workflow, interactions with Google Cloud APIs.
Without is you simply cant work with objects(in your case you need to enable kpt anthoscli beta) and perform tasks like
creating a Compute Engine VM instance, managing a Google Kubernetes
Engine cluster, and deploying an App Engine application, either from
the command line or in scripts and other automations..
I'm trying to create a build and release to a actors service in Visual Studio Online. I already created build and release to anothers services fabric without problem. But with this specific service I getting the error below:
The BuildLayout of the application in E:\SFabric\SP\SP2DS\Fabric\work\ImageBuilderProxy\AppType\SchedulerServiceAppType is invalid. Config is missing for service SchedulerServicePkg.
The first time the release works fine, but after the first version is released, the others releases I got this error.
The others services are Stateless, I dont know why this problem happens and just with this service that is Stateful.
New Information
I'm trying to change advantages setting and I got successful sometimes.
Even that, I want to know how I do correctly
# Novac - Just noticed a duplicate post on Github addressing this specific issue. More importantly, a member of Azure's Service Fabric Dev team is actively engaged and waiting for your response to his followup questions - ref snip below:
Currently tracked via GitHub issue:https://github.com/Azure/service-fabric-issues/issues/802. Strongly recommend redirecting this conversation to the Github thread/url above.
We're trying to deploy our Google Cloud Functions, but keep getting this error. We get the same error when trying to trigger our functions.
Everything worked fine until today, with no code changes.
Error message:
ERROR: (gcloud.beta.functions.deploy) OperationError: code=13, message=Failure in the execution environment
Steps Taken:
Delete all functions
Redeploy all functions (gcloud SDK)
AFAICT, these are Kubernetes errors, which appears to be a GCF implementation detail leaking through.
There was an issue with Cloud Functions deployments on Firebase just now. See the issue status page for details.
In general, the Firebase status dashboard is a great place to see if there are any known issues. If there aren't, it doesn't hurt to reach out to Firebase support either.
Problem was a bug in GCF.
Contacted support team for resolution. There was an outage at the same time (thanks #Frank van Puffelen), but it was unrelated.