We would like to set up Continuous Integration and Continuous Deployment processes on the base of Jenkins ecosystem. Currently we're trying to put together all the Jenkins build jobs we have (from sources to several endpoint processes launched on the testing server). There are three kinds of build/deployment processes in our case:
Building deb packages from C++ projects (some of them are dependent, others are dependencies);
Building images from Docker containers;
Launching some processes in the endpoint;
As you can notice, we faced with a heavily branched chain of jobs triggered by each other. And every update of any of the upstream projects must go throughout the chain of jobs and trigger the final job (process I). So It would be nice to use some kind of Jenkins plugins that will:
Control such a complicated structure of jobs (I tried to use Build Pipeline Plugin and I got the impression that this tool is suitable for "linear" job chain);
Provide clean way of passing the parameters between job environments.
As #slav mentioned, the Workflow plugin should be able to handle this kind of complex control flow, including parallel handling of subtasks, simple handling of variables throughout the process (would just be Groovy local variables), and Docker support.
You could of course arrange this whole process in a single build.gradle (or Makefile for that matter). That would be suitable if you did not mind running all the steps on the same Jenkins slave, and did not otherwise need to interact with or report to Jenkins in any particular way in the middle of the build.
Well, for passing parameters, you should be using Parameterized Trigger Plugin.
For a more asynchronous passing of parameters, you an use EnvInject plugin (it's extremely useful and flexible for all sorts of things, and considering your complexity, might prove useful regardless if you use it for passing parameters or not)
As for control, research into Workflow plugin. It allows to write the whole execution flow in it's own Groovy script, with fine granular control. More links:
Official - https://jenkins-ci.org/content/workflow-plugin-10
Tutorial - https://github.com/jenkinsci/workflow-plugin/blob/c15589f/TUTORIAL.md#pausing-flyweight-vs-heavyweight-executors
Related
Currently, at my organization we have a few repositories which contain ~500+ projects that need to be built to satisfy unit testing (really integration testing), and I am trying to think of a new way of approaching the situation.
Currently, the pipeline for building the projects is templatized and is stored on our Bitbucket server. All the projects get built in parallel, so once the jobs are queued, they all go to the master node to do a SCM check of the pipeline.
This creates stress on the master node, and for some reason it is not able to utilize every available node and executor on that node to it's fullest potential. Contrary, if the pipeline is not stored on SCM, it does the complete opposite to where it DOES use every possible node with any available executor on that node.
Is there something I am missing about the SCM checkout version that makes it different than storing the pipeline locally on Jenkins? I understand that you need to do an SCM poll, and I am assuming only the master can do the SCM poll for the original Jenkinsfile.
I've tried:
Looking to see if I am potentially throttling the build, but I do not see anything
Disable concurrent builds is not enabled within the pipeline
Lightweight checkout seems to work when I do it with Git plugin, but not the Bitbucket Server Integration plugin; however, Atlassian mentioned this will never be a feature, so this doesn't really matter.
I am trying to see if there is a possible way to change the infrastructure since I don't have much of a choice in how certain programs are setup since they are very tightly coupled.
I could in theory just have the pipeline locally on Jenkins and use that as a template rather than checking it into SCM; however, making changes locally to the template does not change the sub-jobs that uses it (I could implement this feature, but SCM already does it). Plus, having the template pipeline checked into Bitbucket allows a better control, so I am trying to avoid that option.
I am trying to improve our continuous integration process using Jenkins and our source control system (currently svn, but git soon).
Maybe I am thinking about this overly complicated, or maybe I have not yet seen the right hints.
The process I envisioned has three steps and associated roles:
one or more developers would do their job and ultimately submit the code changes for the actual software ("main software") as well as unit tests into source control (git, or something else). Jenkins shall build the software, run unit tests and perhaps some other steps (e.g. static code analysis). If none of this fails, the work of the developers is done. As part of the build, the build number is baked into the main software itself as part of the version number.
one or more test engineers will subsequently pickup the build and perform tests. Some of them may be manual, most of them are desired to be automated/scripted tests. These shall ultimately be submitted into source control as well and be executed through the build server. However, this shall not trigger a new build of the main software (since there is nothing changed). If none of this fails, the test engineers are done. Note that our automated tests currently take several hours to complete.
As a last step, a project manager authorizes release of the software, which executes whatever delivery/deployment steps are needed. Also, the source of the main software, unit tests, and automated test scripts, the jenkins build script - and ideally all build artifacts ("binaries") - are archived (tagged) in the source control system.
Ideally, developers are able to also manually trigger execution of the automated tests to "preview" the outcome of their build.
I have been unable to figure out how to do this with Jenkins and Git - or any other source control system.
Jenkin's pipelines seem to assume that all steps are carried out in sequence automatically. It also seems to assume that committing code into source control starts at the beginning (which I believe is not true if the commit was "merely" automated test scripts). Triggering an unnecessary build of the main software really hurts our process, as it basically invalidates and manual testing and documentation, as it results in a new build number baked into the software.
If my approach is so uncommon, please direct me how to do this correctly. Otherwise I would appreciate pointers how to get this done (conceptually).
I will try to reply with some points. This is indeed conceptually approach as there are a lot of details and different approaches too, this is only one.
You need git :)
You need to setup a git branching strategy which will allow to have multiple developers to work simultaneously, pushing code and validating it agains the static code analysis. I would suggest that you start with Git Flow, it is widely used and can be adapted to whatever reality you do have - you do not need to use it in its pure state, so give some thought how to adapt it. Fundamentally, it will allow for each feature to be tested. Then, each developer can merge it on the develop branch - from this point on, you have your features validated and you can start to deploy and test.
Have a look at multibranch pipelines. This will allow you to test the several feature branches that you might have and to have different flows for the other branches - develop, release and master - depending on your deployment needs. So, when you have a merge on develop branch, you can trigger testing or just use it to run static code analysis.
To overcome the problem that you mention on your second point, there are ways to read your change sets on the pipeline, and in case the changes are only taken on testing scripts, you should not build your SW - check here how to read changes, and here an example of how to read changes and also to prevent your pipeline to build all the stages according to the changes being pushed to git.
In case you still have manual testing taking place, pipelines are pausable which means that you can pause the pipeline asking for approval to proceed. Before approving, testers should do whatever they have to, and whenever they are ready to proceed, just approve the build to proceed for the next steps.
Regarding deployments authorization, it is done the same way that I mention on the last point, with the approvals, but in this case, you can specify which users/roles are allowed to approve that step.
Whatever you need to keep from your builds, Jenkins has an archive artifacts utility. Let me just note that ideally you would look into a proper artefact repository such as Nexus.
To trigger manually a set of tests... You can have a manually triggered job on Jenkins apart from your CI/CD pipeline, that will only execute the automated tests. You can even trigger this same job as one pipeline stage - how to trigger another jobs
Lastly let me say that the branching strategy is the starting point.
Think on your big picture, what SDLC flows you need to have and setup those flows on your multibranch pipeline. Different git branches will facilitate whatever flows you need within the same Jenkinsfile - your pipeline definition. It really depends on how many environments you have to deploy to and what kind of steps you need.
How do you implement a complex value stream with multiple pipelines in Jenkins WorkFlow? Similar like you can do with Go CD: How do I do CD with Go?: Part 2: Pipelines and Value Streams.
For a distributed system I would like to have each dev team and operation team to start with their own delivery pipeline. One change needs to trigger only the pipeline of the team that made the change. It needs to trigger a new pipeline that needs to take the latest successful artifacts from each of the team's pipelines and move on from there. This mean that the artifacts from the other teams were not rebuild or retested as they were not changed. And after the Fan In we can run a set of automated tests to verify the correct behaviour of the distributed system with the change.
In the documentation I only find you can pull from multiple VCS's but I assume everything is then build and tested with every change. Which is something I want to avoid.
If each delivery pipeline is in it's own Jenkins Job. How can I visualize the complete pipeline and what is the best way to pull in the last successful artifacts or version from the other pipelines?
There is no direct equivalent in Jenkins for value streams, and Workflow jobs do not behave any differently in that respect: you can have upstream jobs and downstream jobs correlated with triggers (in this case the build step, or the core ReverseBuildTrigger), and use (for example) the Copy Artifact plugin to transfer artifacts to downstream builds. Similarly, you could use an external repository manager as the “source of truth” and define job triggers based on snapshots pushed to the repository.
That said, part of the purpose of Workflow is to avoid the need for complex job chains in most situations¹, since it is usually easier to reason about, debug, and customize a single script with standard control flow operators and local variables than to manage a set of interdependent jobs. If the main problem with a single flow is that you need to avoid rebuilding unmodified parts, one solution would be to use something like JENKINS-30412 to check the changelog of particular repository checkouts and skip build steps if empty. I think there would be more features needed to make such a system work in the general case that workspaces are clobbered or discarded by other builds.
¹One case where you definitely need separate jobs is that for security reasons the teams contributing to different projects must not be able to see one another’s sources or build logs.
Assuming that each of your dev teams works on a different module of your project and „One change needs to trigger only the pipeline of the team that made the change“ I'd use Git Submodules:
Submodules allow you to keep a Git repository as a subdirectory of another Git repository.
with one repo, that becomes a submodule of a main module repo, for each team. This will be transparent to the teams since they just work on their designated repos only.
The main module is also the aggregator project for your module projects in terms of the build tool. So, you have the options:
to build each repo/pipeline individually or
to build the whole (main) project at once.
A build pipeline that comprises one or more build jobs is associated to every team/repo/module.
The main pipeline is merely a collection of downstream jobs which represent the starting points of the team/repo/module pipelines.
The build triggers can be any of manually, timed or on source changes.
A decision has also to be made:
whether you version your modules individually, such that other modules depend on release versions only.
Advantage:
Others rely on released, usually more stable versions.
Modules can decide which version of a dependency they want to use.
Disadvantages:
Releases have to be prepared for each module.
It may take longer until the latest changes are available to others.
Modules have to decide which version of a dependency they want to use. And they have to adapt it every time they need functionality added in a newer version.
or whether you use one version for the entire project (which is inherited by the modules then): ...-SNAPSHOT during the development cycle, a release version when releasing the project.
In this case, if there are modules that are essential for others, e.g. a core module, a successful build of it should trigger a build of the dependent modules, as well, so that incompatibilities are recognized as early as possible.
Advantages:
Latest changes are immediately available to others.
A release is prepared for the whole project only once it is to be delivered.
Disadvantages:
Latest changes immediately available to others may introduce not so stable (snapshot) code.
Re „How can I visualize the complete pipeline“
I'm not aware of any plugin that can do this with Workflows at the moment.
There's the Build Graph View Plugin which originally has been created for Build Flows, but it's more than two years old now:
Downstream builds are identified by DownStreamRunDeclarer extension point.
Default one is using Jenkins dependencyGraph and UpstreamCause and as such can detect common build chain.
build-flow plugin is contributing one to render flow execution as a graph
some Jenkins plugins may later contribute dedicated solutions.
(You know, „may“ and „later“ often become will not and never in development. ;)
There's the Build Pipeline Plugin but it apparently is also not suitable for Workflows:
This plugin provides a Build Pipeline View of upstream and downstream connected jobs [...]
Re „way to pull in the last successful artifacts“
Apparently it's not that smooth with Gradle:
By default, Gradle does not define any repositories.
I'm using Maven and there exist local and remote repositories where the latter can also be:
[...] internal repositories set up on a file or HTTP server within your company, used to share private artifacts between development teams and for releases.
Have you considered using a binary repository manager like Artifactory or Nexus?
From what I have seen, people are moving towards smaller, independent pieces of code delivery rather than monolithic deployments. But clearly, there will still be dependencies between different components. At the very least, for example, if you had one script that provisioned your infrastructure and another that built and deployed your app, you would want to be sure your infrastructure update script was run before your app deployment. On the other hand, your infrastructure does not depend on deploying your app code - it can be updated at its own pace, so long as it ideally passes some testing.
As mentioned in another post, you really have two options to accomplish this dependency:
Have a single pipeline (workflow script) that checks out code from both repos and puts them through the same pipeline simultaneously. Any change to one requires the full boat pipeline for everything.
Have two pipelines and this would allow each to go at its own pace independent of what the other does. This isn't a problem for the infrastructure code, but it very well could be for the app code. If you pushed your app code to production without the infrastructure update having happened first, the results may not be pleasant.
What I've started to do with Jenkins Workflow is establish a dependency between my flows. Basically, I declare that one flow is dependent on a particular version (in this case, simply BUILD_NUM) and so before I do a production deploy I verify that the last successful build of the other pipeline has completed first. I'm able to do this using the Jenkins API as part of my flow script that waits for that build or greater to succeed, like so
import hudson.EnvVars
import hudson.model.*
int indepdentBuildNum = 16
waitUntil{
verifyDependentPipelineCompletion("FLDR_CM/WorkflowDepedencyTester2", indepdentBuildNum)
}
boolean verifyDependentPipelineCompletion(String jobName, int buildNum){
def hi = jenkins.model.Jenkins.instance
Item dep2 = hi.getItemByFullName(jobName)
hi = null
def jobs = dep2.getAllJobs().toArray()
def onlyJob = jobs[0] //always 1 job...I think?
def targetedBuild = onlyJob.getLastSuccessfulBuild()
EnvVars me = targetedBuild.getCharacteristicEnvVars()
def es = me.entrySet()
int targetBuildNum = 0;
def vars = es.iterator()
while(vars.hasNext()){
def envVar = vars.next()
if(envVar.getKey().equals("BUILD_ID")){
targetBuildNum = Integer.parseInt(envVar.getValue())
}
}
if (buildNum > targetBuildNum) {
return false
}
return true
}
Disclaimer that I am just beginning this process so I do not have much real-world experience with this yet, but will update this thread if I have more relevant information. Any feedback welcome.
I want to setup a continous integration system that upon a commit or similar trigger should:
run tests on a fortran/C/C++ code, if needed.
compile that code using cmake.
run tests on a rails app.
compile the rails ap.
restart the server.
I'm looking at Jenkins. Is it the best choice for this kind of work? Also, what's the difference between using a bash script that makes all that (if possible) and using jenkins? I'm asking not because I'm thinking about using a script, but to better understand jenkins.
It sounds like Jenkins would certainly be a reasonable choice for this. Apart from the ability to run arbitrary scripts as build steps, there's also a large number of plugins, which provide better integration with cmake for example.
Even if you're using a single bash script to do all of this, using Jenkins on top of it would still have a number of advantages. You get a web interface, email notifications and build history for free, with all that this entails. By integrating your tests "properly" with Jenkins, you can also get things like graphs that show how many tests succeeded/failed over time.
I am using Jenkins for java projects and have to say it is easy to configure. I used to add lots of plugins for better configuration of build steps, but tend to go back to using scripting languages for build and deploy steps because of two main reasons. If I have a build script, it's easier to configure the same job on a different Jenkins server or run the script manually if need be and the build configuration is not so cluttered (I still have one maven job with more than 50 post build steps). The second reason is, that it is easier to version the scripts in SVN, compared to having the build config in SVN.
So to answer your questions. I don't know if it is the 'best' tool, but it is good enough for me. Regarding scripting: use each tool for what it is build for. Jenkins a glorified cron deamon with great options when it comes to displaying analysis. The learning curve for people to use it is minimal (i.e. starting a job, seeing whether it failed.) Configuring Jenkins needs a little bit more learning, but it's very easy to set up simple jobs and go then to the more complicated tasks.
For the first four activities Jenkins will do the job and is rather the best choice nowadays, but for things like restarting the server (which is actually "remote execution"), better have a look at:
http://saltstack.com/
or:
https://wiki.opscode.com/display/chef/Home
http://cfengine.com/
http://puppetlabs.com/
http://cfengine.com/
Libraries like Fabric(Python) or Capistrano(Ruby) might be useful too.
Background
I am using Jenkins with the Build Pipeline plugin to build some fairly complicated projects that require multiple compilation steps:
Build source RPM.
Build binary RPM (this is performed twice, once for each platform).
Deploy to YUM repository.
My strategy for solving build requirements involves splitting the common work into parameterized jobs that can be reused across projects and branches, with each job representing one stage in the pipeline. Each stage is triggered with parameters, and build artifacts passed along to the next job in the pipeline. However, I'm having some trouble with this strategy, and could really use some tips on how to go about solving this problem in the most elegant and flexible way possible.
To be more specific, there are two common libraries, which are shared by other projects (but not all projects). The libraries are built differently from the dependent projects, but it should not be necessary to specify in Jenkins what the dependent projects are.
There are multiple branches, the master branch (rebuilt nightly), the develop branch (polled for changes), feature branches (also polled), and release branches (polled, but built for release). The branches are built the same way across multiple projects.
We create multiple repositories every month, and whilst it is feasible to expect a little setup for a new project, generally we want this to be as simple and automated as possible.
The Problems
I have many projects with multiple branches, and I do not wish to build all branches or even all projects in the same way. Because most of the build steps are similar I can turn these common steps into parameterized build jobs, and get each job to trigger the next in the chain, passing parameters and build artifacts along the chain. However, this falls apart if one of the steps needs to be skipped, because I don't know of a way to conditionally skip a build step. This implies I would need to copy the build jobs so that I can customise them for each pipeline, resulting in a very large number of build jobs. I could use a combination of plugins to create a job generator (eg. dsl flow, dsl job, etc), and hide as much as possible from the users, but what's the most elegant Jenkins solution to this? Are there any plugins, or examples that I might have missed? What's your experience of doing this?
Because step 2 can be split into two jobs that can be run in parallel, this introduces a complexity that is causing me problems with my pipeline. My first attempt would trigger a parameterized build job twice with different parameters, and then join the jobs afterwards using the join plugin, but it was beginning to look like it would be complicated to copy in the build artifacts from the two upstream jobs. This is significant, because I need the build artifacts from both jobs for stage 3. What's the most elegant solution to join parallel jobs and copy artifacts from them all? Are there any examples that I might have missed?
I need to combine test results generated from both of the jobs in stage 2, and copy them to the job that triggers the build. What's the best way to handle this?
I'm happy to read articles, presentations, technical articles, reference documentation, write scripts and whatever else necessary to make this work nicely, but I'm not a Jenkins expert. If anyone can give me some advice on these 3 problems then that would be helpful. Additionally, I would appreciate any constructive advice on how to get the best out of pipeline CI builds in Jenkins, if relevant.
For the first point, the Job Generator plugin I wrote has been developed to address this use case. You can find more info on the wiki page of Job Generator.
There is also the same type of plugin with a different approach (job generator as a build step), it is called Jobcopy Builder.
The other approaches you mentioned require some kind of DSL and can be a good choice too.