We have a docker container which is a CLI application, it runs, does it s things and exits.
I got the assignment to put this into kubernetes but that containers can not be deployed as it exits and then is considered a crashloop.
So the next question is if it can be put in a job. The job runs and gets restarted every time a request comes in over the proxy. Is that possible? Can job be restarted externally with different parameters in kubernetes?
So the next question is if it can be put in a job.
If it is supposed to just run once, a Kubernetes Job is a good fit.
The job runs and gets restarted every time a request comes in over the proxy. Is that possible?
This can not easyli be done without external add-ons. Consider using Knative for this.
Can job be restarted externally with different parameters in kubernetes?
Not easyli, you need to interact with the Kubernetes API, to create a new Job for this, if I understand you correctly. One way to do this, is to have a Job with kubectl-image and proper RBAC-permissions on the ServiceAccount to create new jobs - but this will involve some latency since it is two jobs.
I am trying to write a script to automate the deployment of a Java Dataflow job. The script creates a template and then uses the command
gcloud dataflow jobs run my-job --gcs-location=gs://my_bucket/template
The issue is, I want to update the job if the job already exists and it's running. I can do the update if I run the job via maven, but I need to do this via gcloud so I can have a service account for deployment and another one for running the job. I tried different things (adding --parameters update to the command line), but I always get an error. Is there a way to update a Dataflow job exclusively via gcloud dataflow jobs run?
Referring to the official documentation, which describes gcloud beta dataflow jobs - a group of subcommands for working with Dataflow jobs, there is no possibility to use gcloud for update the job.
As for now, the Apache Beam SDKs provide a way to update an ongoing streaming job on the Dataflow managed service with new pipeline code, you can find more information here. Another way of updating an existing Dataflow job is by using REST API, where you can find Java example.
Additionally, please follow Feature Request regarding recreating job with gcloud.
I have a requirement to scale down OpenShift pods at the end of each business day automatically.
How might I schedule this automatically?
OpenShift, like Kubernetes, is an api-driven application. Essentially all application functionality is exposed over the control-plane API running on the master hosts.
You can use any orchestration tool that is capable of making API calls to perform this activity. Information on calling the OpenShift API directly can be found in the official documentation in the REST API Reference Overview section.
Many orchestration tools have plugins that allow you to interact with OpenShift/Kubernetes API more natively than running network calls directly. In the case of Jenkins for example there is the OpensShift Pipeline Jenkins plugin that allows you to perform OpenShift activities directly from Jenkins pipelines. In the cases of Ansible there is the k8s module.
If you were to combine this with Jenkins capability to run jobs on a schedule you have something that meets your requirements.
For something much simpler you could just schedule Ansible or bash scripts on a server via cron to execute the appropriate API commands against the OpenShift API.
Executing these commands from within OpenShift would also be possible via the CronJob object.
I am working on a Robotic process automation where i need to automate 10 different process flows.Robot needs to run 24/7.My solution is hosted in AWS cloud and i have got 10 cloud machines to run the scripts.
I have a master Jenkins job which will retrieve the list of automated jobs to execute from a database and i have 10 different jobs configured in Jenkins server.Number of jobs that i need to run at the same time varies from time to time.It may be N different scripts or N instances of the same script with different data combinations.
Challenge i am facing is in post build action i am not able to control the list of scripts/jobs that i need to run based on the output from Jenkins master job.Is there any way to run only the job i need based on the output from a build command?
I was able to achieve it using Jenkins Flexible Publish plugin.
Use case:
CI server polls some VSC repository and runs test suite for each revision. And if two or more revisions were commited, even in a relatively small time interval, I want the CI server to put each of them in queue, run tests for each, store the results, and never run tests again for those commits. And I don't want the CI server to launch jobs in parallel, to avoid performance issues and crashes in case of many simultaneous jobs.
Which CI server is able to handle this?
My additional, less important requirement is that I use Python and it is desirable to use software written in Python, so I looked at the Buildbot project, and I especially want to see reviews for this tool in the matter of is it usable in general and is it capable of replacing most popular solutions like Travis or Jenkins.
I have used jenkins to do this. (with subversion mainly, c/c++ build and also bash/python scripted jobs)
The easiest and default handling of VCS/SCM changes in jenkins is to poll for changes on a set time. A build is triggered if there is any change. More than one commit may be included in build (e.g. if 2 commits are done close together) when using this method. Jenkins shows links back to scm and scm update done as well as showing build logs and you can easily configure build outputs and test result presentation.
https://wiki.jenkins-ci.org/display/JENKINS/Building+a+software+project#Buildingasoftwareproject-Buildsbysourcechanges
What VCS/SCM are you using? Jenkins interfaces to a good few VCS/SCM:
https://wiki.jenkins-ci.org/display/JENKINS/Plugins#Plugins-Sourcecodemanagement
This question answers how to make Jenkins build on every subversion commit:
Jenkins CI: How to trigger builds on SVN commit
TeamCity is free (up to a number of builds and build agents) and feature-rich. It's very easy to install and configure, although it may take some time to find your way through the wealth of options. It is extremely well documented: http://www.jetbrains.com/teamcity/documentation/
It is written in Java but supports many tools natively and others through command-line execution, so you can build anything with it that you want. (I use it mostly for Ruby.) It understands the output of many testing tools; if you're not using one of them maybe yours can emulate their output. It's quite extensible; it has a REST API and a plugin API.
It can be configured to build on each commit, or to build all of the commits that arrived in a given time period, or to trigger in other ways. Docs here: http://confluence.jetbrains.com/display/TCD8/Configuring+VCS+Triggers
By default it starts a single build agent and runs one build at a time on that build agent. You can run more build agents for speed. If you don't want to run more than one build on a machine, only start one build agent on each machine.
I dont want that CI server would launch jobs in parallel to avoid
performance issues and crashes in cases of many simultanious jobs.
In buildbot you can limit the number of running jobs in a salve with max_build parameter or locks
As for Buildbot and Python, you may coordinate parallel builds by configuration, for example:
Modeling Parallel Processes: Steps
svn up
configure
make
make test
make dist
In addition, you can also try using a Triggerable scheduler for your builder which performs steps U,V,W.
From the docs:
The Triggerable scheduler waits to be triggered by a Trigger step (see
Triggering Schedulers) in another build. That step can optionally wait
for the scheduler's builds to complete. This provides two advantages
over Dependent schedulers.
References:
how to lock steps in buildbot
Coordinating Parallel Builds with
Buildbot
There is a Throttle Concurrent Builds Plugin for Jenkins and Hudson. It allows you to specify the number of concurrent builds per job. This is what it says on the plugin page:
It should be noted that Jenkins, by default, never executes the same Job in parallel, so you do not need to actually throttle anything if you go with the default. However, there is the option Execute concurrent builds if necessary, which allows for running the same Job multiple time in parallel, and of course if you use the categories below, you will also be able to restrict multiple Jobs.)
There is also Gitlab CI, a very nice modern Ruby project that uses runners to distribute builds so you could, I guess, limit the number of runners to 1 to get the effect you are after. It's tightly integrated with Gitlab so I don't know how hard it would be to use it as a standalone service.
www.gitlab.com
www.gitlab.com/gitlab-ci
To only run tests once for every revision you can do something like this:
build
post-build
check if the revision of the build is in /tmp/jenkins-test-run
if the revision is in the file skip tests
if the revision is NOT in the file run tests
if we ran the tests then write the ID in /tmp/jenkins-test-run