What are the common use cases Jenkins is used for?
Jenkins being open-source automation can be used for any kind of software-based automation. Some of the common use-cases include but not limited to -
Software build jobs
Sanity/Smoke/CI/Regression test jobs
Web/Data Scraping related jobs
Code coverage measurement jobs
General-purpose automation
Reverse Engineering jobs
Key Decoding jobs & many other jobs where software automation will be applicable.
Jenkins being open-source automation can be used for any kind of software-based automation. Some of the common use-cases include but not limited to -
Software build jobs
Sanity/Smoke/CI/Regression test jobs
Web/Data Scraping related jobs
Code coverage measurement jobs
General-purpose automation
Reverse Engineering jobs
Key Decoding jobs & many other jobs where software automation will be applicable.
Tell me something about Continuous Integration, Continuous Delivery, and Continuous Deployment?
Continuous Integration: A software development process where the changes made to software are integrated into the main code as and when a patch is ready so that the software will be always ready to be - built, tested, deployed, monitored - continuously.
Continuous Delivery: This is a Software Development Process where the continuously integrated (CI) changes will be tested & deployed continuously into a specific environment, generally through a manual release process, after all the quality checks are successful
Continuous Deployment: A Software Development practice where the continuously integrated (CI) changes are deployed automatically into the target environment after all the quality checks are successful
Continuous Integration: A software development process where the changes made to software are integrated into the main code as and when a patch is ready so that the software will be always ready to be - built, tested, deployed, monitored - continuously.
Continuous Delivery: This is a Software Development Process where the continuously integrated (CI) changes will be tested & deployed continuously into a specific environment, generally through a manual release process, after all the quality checks are successful
Continuous Deployment: A Software Development practice where the continuously integrated (CI) changes are deployed automatically into the target environment after all the quality checks are successful
Kubectl Basic Commands
Kubectl get
$ kubectl get namespaces
$ kubectl get nodes
$ kubectl get pods
$ kubectl get pods --namespace jenkins
Kubectl describe
$ kubectl describe ns jenkins
$ kubectl describe pods jenkins-7fc688c874-mh7gv --namespace jenkins
$ kubectl describe node minikube
Kubectl get
$ kubectl get namespaces
$ kubectl get nodes
$ kubectl get pods
$ kubectl get pods --namespace jenkins
Kubectl describe
$ kubectl describe ns jenkins
$ kubectl describe pods jenkins-7fc688c874-mh7gv --namespace jenkins
$ kubectl describe node minikube
π₯π₯ TODAY'S TECHNOTES π₯π₯
How do you store credentials in Jenkins securely?
Credentials can be stored securely in Jenkins using the Credentials plugin, which stores different types of credentials like - Username with a password, SSH username with the private key, AWS Credentials, Jenkins Build Token, Secret File/Text, X509 & other certificates, Vault related credentials securely with proper encryption & decryption as and when required.
How can we stop a scheduled job from being executed temporarily?
Disable the job from the job details page to temporarily stop all scheduled executions & other factors/events from triggering the job and enable it back to resume the job schedules/triggers. If a job is not required permanently, we can delete the job from the jobs list view page.
How do you store credentials in Jenkins securely?
Credentials can be stored securely in Jenkins using the Credentials plugin, which stores different types of credentials like - Username with a password, SSH username with the private key, AWS Credentials, Jenkins Build Token, Secret File/Text, X509 & other certificates, Vault related credentials securely with proper encryption & decryption as and when required.
How can we stop a scheduled job from being executed temporarily?
Disable the job from the job details page to temporarily stop all scheduled executions & other factors/events from triggering the job and enable it back to resume the job schedules/triggers. If a job is not required permanently, we can delete the job from the jobs list view page.
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What are the ways to trigger a Jenkins Job/Pipeline?
There are many ways we can trigger a job in Jenkins. Some of the common ways are as below -
Trigger an API (POST) request to the target job URL with the required data.
Trigger it manually from the Jenkins web application.
Trigger it using Jenkins CLI from the master/slave nodes.
Time-based Scheduled Triggers like a cron job.
Event-based Triggers like SCM Actions (Git Commit, Pull Requests), WebHooks, etc.
Upstream/Downstream triggers by other Jenkins jobs.
There are many ways we can trigger a job in Jenkins. Some of the common ways are as below -
Trigger an API (POST) request to the target job URL with the required data.
Trigger it manually from the Jenkins web application.
Trigger it using Jenkins CLI from the master/slave nodes.
Time-based Scheduled Triggers like a cron job.
Event-based Triggers like SCM Actions (Git Commit, Pull Requests), WebHooks, etc.
Upstream/Downstream triggers by other Jenkins jobs.
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What is Jenkins Build Cause?
Build Cause is a text attribute that represents what made a job's build to be triggered, say it could be a Jenkins User (from UI), Timer for Scheduled jobs, Upstream jobs for a job which was triggered by upstream job, etc. This is mainly used to identify the nature of the builds - be it nightly, manual, automated, etc.
How Jenkins knows when to execute a Scheduled job/pipeline and how it is triggered?
Jenkins master will have the cron entries set up for the jobs as per the scheduled Job's configurations. As and when the time for a particular job comes, it commands agents (based on the configuration of the job) to execute the job with required configurations.
Build Cause is a text attribute that represents what made a job's build to be triggered, say it could be a Jenkins User (from UI), Timer for Scheduled jobs, Upstream jobs for a job which was triggered by upstream job, etc. This is mainly used to identify the nature of the builds - be it nightly, manual, automated, etc.
How Jenkins knows when to execute a Scheduled job/pipeline and how it is triggered?
Jenkins master will have the cron entries set up for the jobs as per the scheduled Job's configurations. As and when the time for a particular job comes, it commands agents (based on the configuration of the job) to execute the job with required configurations.
π₯π₯ Today's Technotes π₯π₯
WHAT ARE THE WAYS TO TRIGGER A JENKINS JOB/PIPELINE?
There are many ways we can trigger a job in Jenkins. Some of the common ways are as below -
Trigger an API (POST) request to the target job URL with the required data.
Trigger it manually from the Jenkins web application.
Trigger it using Jenkins CLI from the master/slave nodes.
Time-based Scheduled Triggers like a cron job.
Event-based Triggers like SCM Actions (Git Commit, Pull Requests), WebHooks, etc.
Upstream/Downstream triggers by other Jenkins jobs.
WHAT ARE THE WAYS TO TRIGGER A JENKINS JOB/PIPELINE?
There are many ways we can trigger a job in Jenkins. Some of the common ways are as below -
Trigger an API (POST) request to the target job URL with the required data.
Trigger it manually from the Jenkins web application.
Trigger it using Jenkins CLI from the master/slave nodes.
Time-based Scheduled Triggers like a cron job.
Event-based Triggers like SCM Actions (Git Commit, Pull Requests), WebHooks, etc.
Upstream/Downstream triggers by other Jenkins jobs.
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Day 3: IAM
Day 4: Ec2
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Day 6: S3
Day 7: VPC Part1
Day 8: VPC Part2
Day 9: VPC Part3
Day 10: Load Balancer + ELB + ALB
Day 11: Auto scaling
Day 12: Cloud Migrations
Day 13: AWS Organizations service
Day 14: Overall Task
Day 15: Linux Basics
Day 16: Python Basics Part-1
Day 17: Python Basics Part-2 + Boto3 Basic
Day 18: Boto3 Part-2
Day 19: Boto3 Part-3
Day 20: Lambda
Day 21: Cloud Formation Part-1
Day 22: Cloud Formation Part-2
Day 23: Docker Part-1
Day 24: Dcoker Part-2
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Day 26: Ansible Part-1
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