kandi X-RAY | self-hosted Summary
kandi X-RAY | self-hosted Summary
Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
Top functions reviewed by kandi - BETA
self-hosted Key Features
self-hosted Examples and Code Snippets
Trending Discussions on self-hosted
I have an self-hosted application written originally using ServiceStack 3.x, where I had dozens of APIs with a route starting with /api
Upon licensing ServiceStack 6, all routes starting with /api are failing with the following error:...
ANSWERAnswered 2022-Apr-08 at 13:50
You can disable the API Route with:
I am having .net a self-hosted application, basically, it runs for 12 hours. The entire functionality is working as expected in my local machine.
Currently, we are using Kubernetes for deployment. While deploying it is checking the health status with the liveness endpoint and deployment is failing since there is no liveness endpoint as it is a background running application. To deploy the application in Kubernetes it is expecting the liveness endpoint.
Is there any way that we can serve some JSON data whenever the liveness endpoint is called from the docker side for the background running application?
Here is my docker code....
ANSWERAnswered 2022-Mar-23 at 13:07
Personally I have found that deploying my background services as ASP.NET Core applications works well, because we can:
- Deploy /health endpoints using Healthchecks
- Use IHostedService for running the background services
I was taking a look at Hub—the dataset format for AI—and noticed that hub integrates with GCP and AWS. I was wondering if it also supported integrations with MinIO.
I know that Hub allows you to directly stream datasets from cloud storage to ML workflows but I’m not sure which ML workflows it integrates with.
I would like to use MinIO over S3 since my team has a self-hosted MinIO instance (aka it's free)....
ANSWERAnswered 2022-Mar-19 at 16:28
Hub allows you to load data from anywhere. Hub works locally, on Google Cloud, MinIO, AWS as well as Activeloop storage (no servers needed!). So, it allows you to load data and directly stream datasets from cloud storage to ML workflows.
You can find more information about storage authentication in the Hub docs.
Then, Hub allows you to stream data to PyTorch or TensorFlow with simple dataset integrations as if the data were local since you can connect Hub datasets to ML frameworks.
I would like to setup a sandbox project in my school GitLab server (self-hosted, free), that all users, especially new ones, can use to test whatever they need.
How can I add all users to the same project?
I already read this releated question (that asks the opposite), but it only partially help; the most useful answer tells me to use the API, which is good if I want to add all current users to a project, but I also want to add new ones.
Is there a way to add a user to a project, triggered by that user being confirmed?...
ANSWERAnswered 2022-Mar-18 at 15:53
One builtin method would be to use system hooks. For example, you can create a hook that responds to
user_create events and adds the user to the project.
Another way may be just to run a scheduled CI pipeline that scripts this or similar automation (e.g. cron job on the server or whatever).
You can use the users list API to enumerate all current users in your GitLab instance (requires admin privileges). You can also use the project membership API to enumerate all members of the project. You can compare the two results to find any users that need to be added.
Self-hosted GitHub actions runner installed on Linux, Windows and Mac systems.
I need to upgrade the runner version to latest on Linux, Windows and MacOS.
- How to check the currently installed Runner version?
service status side, I can't find the information.
- How to upgrade the runner to latest version?
Please help me with information. Thanks in advance....
ANSWERAnswered 2022-Mar-15 at 12:35
Go to the self hosted runner directory, list folders, you should see the bin and externals directory with the version suffix bin.2.288.1, externals.2.288.1 - most current should have symlink with full directory. Also you can check version of each component listener, plugin-host,worker in /bin directory json files. There's no need to force updating self hosted runner - it should update automatically to the latest. One scenario in which you will need to update the runners manually is inside docker container - you can use this script:
While trying to set up a basic self-hosted unit testing environment (and CI) that tests this Chainlink VRF random number contract, I am experiencing slight difficulties in how to simulate any relevant blockchains/testnets locally.
For example, I found this repository that tests Chainlinks VRF. However, for default deployment it suggests/requires a free
KOVAN_RPC_URL e.g. from Infura's site and even for "local deployment" it suggests/requires a free
MAINNET_RPC_URL from e.g. Alchemy's site.
I adopted a unit test environment from the waffle framework which is described as:Filestructure ...
ANSWERAnswered 2021-Sep-09 at 04:35
to test locally you need to make use of mocks which can simulate having an oracle network. Because you're working locally, a Chainlink node doesn't know about your local blockchain, so you can't actually do proper VRF requests. Note you can try deploy a local Chainlink node and a local blockchain and have them talk, but it isn't fully supported yet so you may get mixed results. Anyway, as per the hardhat starter kit that you linked, you can set the defaultNetwork to be 'hardhat' in the hardhat.config.js file, then when you deploy and run the integration tests (yarn test-integration), it will use mocks to mock up the VRF node, and to test the requesting of a random number. See the test here, and the mock contracts and linktoken get deployed here
I basically have a decorator injecting steps into all pipelines of an organization. This decorator runs a PowerShell script that will trigger an azure function. Within our agent pool, we have our own self-hosted custom agents. Some of those don't have PowerShell installed. How can I trigger my az function?
We do not have control over the custom agents. It is not under our belt, so we need to handle random configurations on custom agents....
ANSWERAnswered 2022-Feb-25 at 09:47
ok, I resolved by converting all my PowerShell scripts to bash. Now I can script within a decorator that can run in any agent from any agent pool. The only setback is that different OS can have different bash versions and a mismatch of the code functions, so I still needed to make kind of a switch to determine what is the os and run a particular bash script.
We have a cloud full of self-hosted Azure Agents running on custom AMIs. In some cases, I have some cleanup operations which I'd really like to do either before or after a job runs on the machine, but I don't want the developer waiting for the job to wait either at the beginning or the end of the job (which holds up other stages).
What I'd really like is to have the Azure Agent itself say "after this job finishes, I will run a set of custom scripts that will prepare for the next job, and I won't accept more work until that set of scripts is done".
In a pinch, maybe just a "cooldown" setting would work -- wait 30 seconds before accepting another job. (Then at least a job could trigger some background work before finishing.)
Has anyone had experience with this, or knows of a workable solution?...
ANSWERAnswered 2022-Feb-01 at 14:28
I suggest three solutions
Create another pipeline to run the clean up tasks on agents - you can also add demand for specific agents (See here https://docs.microsoft.com/en-us/azure/devops/pipelines/process/demands?view=azure-devops&tabs=yaml) by
Agent.Name -equals [Your Agent Name]. You can set frequency to minutes, hours, as you like using cron pattern. As while this pipeline will be running and taking up the agent, the agent being cleaned will not be available for other jobs. Do note that you can trigger this pipeline from another pipeline, but if both are using the same agents - they can just get deadlocked.
Create a template containing scripts tasks having all clean up logic and use it at the end of every job (which you have discounted).
Rather than using static VM's for agent hosting, use Azure scaleset for Self hosted agents - everytime agents are scaled down they are gone and when scaled up they start fresh. This saves a lot of money in terms of sitting agents not doing anything when no one is working. We use this option and went away from static agents. We have also used packer to create the VM image/vhd overnight to update it with patches, softwares required, and docker images cached. ref: https://docs.microsoft.com/en-us/azure/devops/pipelines/agents/scale-set-agents?view=azure-devops
From this answer, I learned that one can normally set the build status of a commit using something like:...
ANSWERAnswered 2022-Feb-12 at 22:55
I'm completely new to trying to implement GitLab's CI/CD pipelines, but it's been going quite well. In fact, for my ASP.NET project, if I specify a Publish Profile in the
msbuild command that uses Web Deploy, it actually deploys the code successfully to the web server.
However, I'm now wanting to have the "build" job create artifacts which are uploaded to GitLab that I can then subsequently deploy. We're using a self-hosted instance of GitLab, for which I'm not an admin, but I can speak to the admin if I know what I'm asking for!
So I've configured my
gitlab-ci.yml file like this:
ANSWERAnswered 2022-Feb-08 at 15:22
After countless hours working on this, it seems that ultimately the issue was that our internal Web Application Firewall was blocking some part of the transfer of artefacts to the server, or the response back from it. With the WAF reconfigured not to block traffic from the machine running the GitLab Runner, the artefacts are successfully uploaded and the job succeeds.
This would have been significantly easier to diagnose if the logging from GitLab was better. As per my comment on this issue, it should be possible to see the content of the response from the GitLab server after uploading artefacts, even when the response code is
What's strange - and made diagnosing the issue even harder - is that when I worked through the issue with the admin of our GitLab instance, digging through logs and running it in debug mode, the artefact upload process was uploading something successfully. We could see, for example, the GitLab Runner's log had been uploaded to the server. Clearly the WAF's blocking was selective and didn't block everything in both directions.
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