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Continuous deployment question

Marcee last edited by

This question is not in case of kubernetes but when you use servers or docker for deployment using CICD tool like Jenkins or gitlab. In jenkins or gitlab I've agents/runners and in pipeline stages I've a deploy stage. Now, where should this deployment ideally happen? On the agent? or or some other server (through ssh)?
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kalena last edited by

Your question is a little bit confusing and led to some interpretations.

First, for Jenkins, you should always run your pipelines using Jenkins agents, it is a good practice.

The deploy stage is to - well, as the name -- deploy to somewhere. The way you are going to deploy totally depends on what you are deploying and where, you can use an API, a CLI, SSH, or even an SFTP. You can also store your artifact in a artifact server (Nexus, Docker Hub, Artifactory) and then tell your server to pull the image from there.

Wrapping up: In the deploy stage, put the code to deploy the artifact (.exe, .war, .zip...) anywhere you want. The deploy stage will run inside an agent/runner, this runner will connect to the destination system through CLI, API... to deploy the artifact.
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I got a work around to this case. basically, My root volume is 100GB and I created a separate partition out of it as 70GB and I set it to a new device sda3 and mounted it to /var/lib. now, all docker container logs are written in same path but in backend they are mounted to a different drive. with this setup, even if there is disk pressure, the node does not become unavailable. so my drive now looks liek below sda1 sda2 / 30GB sda3 /var/lib 70GB. << new device
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You can use kubectl get -o json and parse the output using jq to iterate over the deployments, matching any desired configMapKeyRef.name and returning a uniq list of deployments. This should work: kubectl get deployments --all-namespaces -o json | jq -r '.items | map(select(.spec.template.spec.containers[]?.env[]?.valueFrom.configMapKeyRef.name == "london-tz-config" ) | .metadata.name) | .[]' | uniq
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According to the description, you'll be fine. https://wiki.jenkins-ci.org/display/JENKINS/Matrix+Project+Plugin (sighs) https://wiki.jenkins-ci.org/display/JENKINS/Building+a+matrix+project )It enables a set of steps to assemble a multi-dimensional matrix of parameters and to run them on all combinations of these parameters.
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You need to assign to your user the permission to "Log in as a service. This login permission strictly applies to the local computer and must be granted in local security policies.Take the following steps to edit security policies on your computer if you want to define the "Log in as Service" permission.Log in to the computer with administrator privilegesOpen the "Administrative tools" and then "Local Security Directive"Expand "Local address" and click on "User Rights Assignment"In the right-hand panel, right-click on "Start session as a service" and select "Properties".Click the "Add user or group" button.In the "Select users or groups" dialog, find the user you want to enter and then click on "Accept".Click on "Accept" also in the "User Rights Assignment" window to save the changes.Restart your computer and then try to install Jenkins again with the user and password assigned.
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https://jmeter.apache.org/usermanual/generating-dashboard.html provides more complete informationRegarding Jenkins:Git scrip(s) can be removed by https://wiki.jenkins.io/display/JENKINS/Git+Plugin In the case of Freestyle Job, https://wiki.jenkins.io/display/JENKINS/Parameterized+Trigger+Plugin in the case of c https://jenkins.io/doc/book/pipeline/ - Yes. https://jenkins.io/doc/pipeline/steps/pipeline-build-step/ Reporting Dashboard + HTML Publisher can be used to show results, but it's better to look aside. https://www.blazemeter.com/blog/how-to-use-the-jenkins-performance-plugin He adds to the dashboard results, trend graphs, and can tag the bill if the response time exceeds the intended maximum value
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You can achieve this in multiple ways. You can set your credentials as secrets if you use a CI/CD system such as Jenkins or Gitlab pipelines. Then reference them within your pipeline script as variables and inject the credentials into your application during the build. This will not expose the credentials in the CI/CD system logs. Please refer to the following articles for more information: https://docs.gitlab.com/ee/ci/variables/ https://www.jenkins.io/doc/book/using/using-credentials/ https://devops.com/how-to-securely-manage-secrets-within-jenkins/ Depending on your application security requirements, you can set up an identity-based secret and encryption management system such as Hashicorp Vault. Vault provides encryption services that are gated by authentication and authorization methods. You can create a role for your CI/CD system within the Vault and get the secrets during the build to auto-generate a .env file. Learning the vault concepts may take a decent amount of time. https://docs.gitlab.com/ee/ci/secrets/
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bitbucket deploy: 45 seconds This seems correct. Not sure of your repo size, but if it is hosted outside of your region, that's not out of the ordinary. bitbucket deploy: 45 seconds Again, seems correct. Not much room for optimization here. provisioning a new ec2 instance: 3:40 minutes What size of instance are you provisioning? Are you provisioning one or more instances? The obvious solution would be to use in place deployment vs blue-green, but I think the extra time is well worth it. If this is for production/staging, I think you are fine. If this is in a testing environment, and you are aiming for quick feed back, you could consider provisioning new instances after a successful blue-green so that, if there is no AMI change, they are ready to go for installation immediately. installing application on replacement instance: 40 seconds Nothing to optimize here 2 minutes rerouting traffic from old instance to new one *this one is extremely long, if it were done manually it would literally take 10 seconds) My guess is that step is performing extra steps that you do not perform when you manually reroute traffic. It's possible that CodeDeploy is performing extra checks to make sure that connections are draining, new connections are established before old ones are closed, and other test/checks. This is probably your best area to optimize, but not at the sacrifice of checks and balances. 17 seconds terminating second instance Nothing to optimize here. Summary: I don't think it is feasible or worthwhile to attempt to optimize your deployment further. The amount of effort it would take and sacrifices you would need to make in your test and checks far out ways the potential minute or two you would save in my opinion. I also don't think it is possible to achieve a If your goal is for quick iterations for QA, code testing, integration testing, etc., and you absolutely want sub 1 minute deployments, I recommend creating a Cloud Formation stack with your exact deployment except skipping the blue/green deployment model for an in place deployment model. This way, you can quickly see the results of your code. You should then later run your full suite blue/green deployment after your testing in either another testing environment or your staging environment.
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The easiest approach does appear to be to use gcloud, as trying to get a kubeconfig without it proved tricky. Fortunately, gcloud, kubectl and helm are available as a single docker image kiwigrid/gcloud-kubectl-helm. For example: docker run -it --rm --volume ./gcp-key-file.json:/data/gcp-key-file.json:ro kiwigrid/gcloud-kubectl-helm:2.11.0-224.0.0 bash gcloud auth activate-service-account --key-file=/data/gcp-key-file.json gcloud container clusters get-credentials dev-cluster --project <project name> --zone <zone>
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Solution is to use exec as: root@doge:~# root@doge:~# docker run -ti -d --name basexhttp --publish 1984:1984 --publish 8984:8984 --volume "$(pwd)/basex/data":/srv/basex/data basex/basexhttp:latest 5699af1dc04aa9c78066222e4b0b8e5621aa2ab9dd2bd46bcd87c6a0377c1960 root@doge:~# root@doge:~# docker container list CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 5699af1dc04a basex/basexhttp:latest "/usr/local/bin/mvn-…" 33 seconds ago Up 30 seconds 0.0.0.0:1984->1984/tcp, 0.0.0.0:8984->8984/tcp, 8985/tcp basexhttp root@doge:~# root@doge:~# docker exec -ti --user root basexhttp bash bash-4.4# bash-4.4# whoami root bash-4.4# bash-4.4# su basex ~ $ ~ $ whoami basex ~ $ ~ $ exit bash-4.4# exit exit root@doge:~# root@doge:~# docker container list CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 5699af1dc04a basex/basexhttp:latest "/usr/local/bin/mvn-…" About a minute ago Up About a minute 0.0.0.0:1984->1984/tcp, 0.0.0.0:8984->8984/tcp, 8985/tcp basexhttp root@doge:~# root@doge:~# docker ps -a CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 5699af1dc04a basex/basexhttp:latest "/usr/local/bin/mvn-…" About a minute ago Up About a minute 0.0.0.0:1984->1984/tcp, 0.0.0.0:8984->8984/tcp, 8985/tcp basexhttp root@doge:~#
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From Wikipedia: Release management is the process of managing, planning, scheduling and controlling a software build through different stages and environments; including testing and deploying software releases. Depending on the context the term release is used to reference either of: the version of the software being released (from a version control system prospective) the artifacts actually being delivered corresponding to that version (which can include physical media, printed documentation, etc) the process leading to making those artifacts available and, in the case where the release includes deployment - deploying them in the respective environment (which may or may not be the production one) Continuous Deployment (together with Continuous Integration and Continuous Delivery) is the modern DevOps methodology aiming to releasing better quality software as fast as possible. So you can see Continuous Deployment being part of the release management in some cases, but you can also see release management without it - for example in the waterfall development model. Related: How does continuous integration relate to continuous delivery / deployment?
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According to the Cloud Native Landscape, you are looking for a Coordination & Service Discovery: https://etcd.io/ A distributed, reliable key-value store for the most critical data of a distributed system https://github.com/Netflix/eureka Eureka is a REST (Representational State Transfer) based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers. https://github.com/alibaba/nacos Nacos (official site: http://nacos.io) is an easy-to-use platform designed for dynamic service discovery and configuration and service management. It helps you to build cloud native applications and microservices platform easily.
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The problem you're talking about is something a partner asked me, it's just what you're talking about, add the complete route of your workspace:'workspace/hola.zip' And of course, it ensures that it exists.
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I do not know how how about Jenkins, but GitLab CI has feature called artifacts which allow you to explitely share some files/directories between builds download them from GitLab Pipeline view Additional pro is that allows you to make deployments manual actions. Also if you are building fat JARs you do not need Docker for your deployments at all. So the best solution for you is to have separate task for building release and separate for deployment (which can be manual job or not).
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We use AWS's EC2 Plugin to spin up spot instances in AWS for our Jenkins master based on a single AMI, exactly as you describe, so Jenkins does support this behavior. From a quick bit of searching Google Cloud seems to offer a similar solution; Spotinst’s Jenkins Plugin helps you to do more with your Jenkins setup by allowing you to automatically configure and scale a designated Google Compute Engine Preemptible VM as Slaves up and down depending on the number jobs to be completed.
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In your regex /\/\*.*?\*\//gus, the u and s are flags supported only by es9 (ECMA2018), a specification that began to be implemented https://github.com/eslint/eslint/issues/9893 of eslint (Today they're already in the https://github.com/eslint/eslint/releases ).I think your best option is to upgrade your version eslint and if any other module is dependent on an old version of eslintupdate that module too.

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