The document provides a step-by-step guide to implementing continuous integration and continuous delivery (CI/CD) for UiPath projects using Jenkins and the UiPath Jenkins plugin. It covers setting up Jenkins, installing the UiPath plugin, creating a sample pipeline with build and test stages, and deploying packages to UiPath Orchestrator. The pipeline utilizes environment variables, credentials, and the UiPathPack, UiPathTest, and UiPathDeploy steps.
Basically this slid will help to Learn software quality testing on scratch level.
Software testing is the quality measures conducted to provide stakeholders with information about the quality of the product or service. Test techniques include, but are not limited to, the process of executing a program or application with the intent of finding software bugs. It is an important part of the entire Software Development ensuring that the functionalities of the system are tested to the finest and assures the quality, correctness and completeness of the product. Software testing, depending on the testing method employed, can be implemented at any time in the development process.
Stages of testing:
o Test planning
o Test Analysis
o Test verification & Construction
o Test execution
o Defect tracking and management
o Quality Analysis Bug tracking
o Report
o Final testing & implementation
Prometheus Design and Philosophy by Julius Volz at Docker Distributed System Summit
Prometheus - https://github.com/Prometheus
Liveblogging: http://canopy.mirage.io/Liveblog/MonitoringDDS2016
CI CD Pipeline Using Jenkins | Continuous Integration and Deployment | DevOps...Edureka!
** DevOps Training: https://www.edureka.co/devops **
This CI CD Pipeline tutorial explains the concepts of Continuous Integration, Continuous Delivery & Deployment, its benefits, and its Tools. Below are the topics covered in the video:
1. What is DevOps
2. What are CI and CD?
3. Pipelines: What are they?
4. Continuous Delivery and Continuous Deployment
5. Role of Jenkins
6. Role of Docker
7. Hands-On – Creating CI CD Pipeline Using Jenkins and Docker
Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13
Basically this slid will help to Learn software quality testing on scratch level.
Software testing is the quality measures conducted to provide stakeholders with information about the quality of the product or service. Test techniques include, but are not limited to, the process of executing a program or application with the intent of finding software bugs. It is an important part of the entire Software Development ensuring that the functionalities of the system are tested to the finest and assures the quality, correctness and completeness of the product. Software testing, depending on the testing method employed, can be implemented at any time in the development process.
Stages of testing:
o Test planning
o Test Analysis
o Test verification & Construction
o Test execution
o Defect tracking and management
o Quality Analysis Bug tracking
o Report
o Final testing & implementation
Prometheus Design and Philosophy by Julius Volz at Docker Distributed System Summit
Prometheus - https://github.com/Prometheus
Liveblogging: http://canopy.mirage.io/Liveblog/MonitoringDDS2016
CI CD Pipeline Using Jenkins | Continuous Integration and Deployment | DevOps...Edureka!
** DevOps Training: https://www.edureka.co/devops **
This CI CD Pipeline tutorial explains the concepts of Continuous Integration, Continuous Delivery & Deployment, its benefits, and its Tools. Below are the topics covered in the video:
1. What is DevOps
2. What are CI and CD?
3. Pipelines: What are they?
4. Continuous Delivery and Continuous Deployment
5. Role of Jenkins
6. Role of Docker
7. Hands-On – Creating CI CD Pipeline Using Jenkins and Docker
Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13
Jenkins is the leading open source continuous integration tool. It builds and tests our software continuously and monitors the execution and status of remote jobs, making it easier for team members and users to regularly obtain the latest stable code.
Performance testing with 100,000 concurrent users in AWSMatthias Matook
M-Square build an easy scalable performance test solution on AWS, using open source tools & CI servers, to allow cost-effective testing at scale. The solution is suitable for any organisation type, from startup to enterprise.
The talk covers VPC, EC2, S3, ELB’s, AWS API scripting, automation and interesting performance issues when running massive workloads on AWS.
A Kubernetes cluster contains a set of worker
machines known as nodes that run
containerized applications
ü Every cluster has at least one worker node.
Hence, if a node fails, your application will still
be accessible from the other nodes as in a
cluster, multiple nodes are grouped
When DevOps talks meet DevOps tactics, companies find that Continuous Integration is the make or break point. And implementing CI is one thing, but sustainable CI takes a little bit more consideration. CI is not all about releases, it is also about knowing more about how your software delivery pipeline works, it's weak points, and how you are doing over time.
Join CloudBees and cPrime as we discuss best practices for facilitating DevOps pipelines with Jenkins Workflow and reveal how the workflow engine of Jenkins CI and “Agilecentric” Devops practices together, support complex control structures, shortens the development cycle, stabilizes environments and reduces defects.
In deploying apps that have been containerized, you have a lot to think about regarding what to use in production. There are a lot of things to manage, so orchestrators become a huge help. providing many services together such as scheduling, container communication, scaling, health, and more. There are major platforms to consider from Kubernetes, Swarm to ECS. In this talk we'll go through the overview of orchestrators and some of the differences between the big players. You should come out of the talk knowing where to go next in determining your orchestrator needs.
From the the teams struggling with DevOps to experienced professionals trying to make a shift to DevOps, this presentation helps in how understanding how DevOps makes Deliveries faster and accurate
This presentation about DevOps will help you understand what is DevOps, how is DevOps different from traditional IT, benefits of DevOps, the lifecycle of DevOps and tools used in DevOps processes. DevOps is one of the most trending IT jobs. It is a collaboration between development and operation teams which enables continuous delivery of applications and services to our end users. However, if you want to become a DevOps engineer, you must have knowledge of various DevOps tools (like Git, Maven, Selenium, Jenkins, Docker, Ansible, Nagios etc.) to achieve automation at each stage which helps in gaining Continuous Development, Continuous Integration, Continuous Testing and Continuous Monitoring in order to deliver a quality product to the client at a very fast pace. Now, let us get started and understand DevOps and does the various DevOps tools work.
Below are the topics explained in this DevOps presentation:
1. What is DevOps?
2. Benefits of DevOps
3. Lifecycle of DevOps
4. Tools in DevOps
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
1. This DevOps training course will be of benefit the following professional roles:
2. Software Developers
3. Technical Project Managers
4. Architects
5. Operations Support
6. Deployment engineers
7. IT managers
8. Development managers
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
Focus on what matters: code
How to use and develop a GitHub Actions workflow using Node.js
With GitHub Actions (https://github.com/features/actions) you can automate your workflow from idea to production.
Actions can be written in any language, but we will take a closer look in how to write our workflow using Node.js and interact with the full GitHub API.
In this session, we will learn about Teamcity CI Server. We will look at the different options available and how we can set a CI pipeline using Teamcity.
In this session, we'll explore how to deploy various applications to azure using YAML pipelines. First we'll peek into the basics of azure pipelines (stages, jobs, tasks, agents, triggers etc). Then we'll walk through some examples - deploying an angular app to azure static storage, deploying a containerized node/express app to azure app service, zip-deploying an asp.net core app to app service.
Pipeline as code - new feature in Jenkins 2Michal Ziarnik
What is pipeline as code in continuous delivery/continuous deployment environment.
How to set up Multibranch pipeline to fully benefit from pipeline features.
Jenkins master-node concept in Kubernetes cluster.
Jenkins is the leading open source continuous integration tool. It builds and tests our software continuously and monitors the execution and status of remote jobs, making it easier for team members and users to regularly obtain the latest stable code.
Performance testing with 100,000 concurrent users in AWSMatthias Matook
M-Square build an easy scalable performance test solution on AWS, using open source tools & CI servers, to allow cost-effective testing at scale. The solution is suitable for any organisation type, from startup to enterprise.
The talk covers VPC, EC2, S3, ELB’s, AWS API scripting, automation and interesting performance issues when running massive workloads on AWS.
A Kubernetes cluster contains a set of worker
machines known as nodes that run
containerized applications
ü Every cluster has at least one worker node.
Hence, if a node fails, your application will still
be accessible from the other nodes as in a
cluster, multiple nodes are grouped
When DevOps talks meet DevOps tactics, companies find that Continuous Integration is the make or break point. And implementing CI is one thing, but sustainable CI takes a little bit more consideration. CI is not all about releases, it is also about knowing more about how your software delivery pipeline works, it's weak points, and how you are doing over time.
Join CloudBees and cPrime as we discuss best practices for facilitating DevOps pipelines with Jenkins Workflow and reveal how the workflow engine of Jenkins CI and “Agilecentric” Devops practices together, support complex control structures, shortens the development cycle, stabilizes environments and reduces defects.
In deploying apps that have been containerized, you have a lot to think about regarding what to use in production. There are a lot of things to manage, so orchestrators become a huge help. providing many services together such as scheduling, container communication, scaling, health, and more. There are major platforms to consider from Kubernetes, Swarm to ECS. In this talk we'll go through the overview of orchestrators and some of the differences between the big players. You should come out of the talk knowing where to go next in determining your orchestrator needs.
From the the teams struggling with DevOps to experienced professionals trying to make a shift to DevOps, this presentation helps in how understanding how DevOps makes Deliveries faster and accurate
This presentation about DevOps will help you understand what is DevOps, how is DevOps different from traditional IT, benefits of DevOps, the lifecycle of DevOps and tools used in DevOps processes. DevOps is one of the most trending IT jobs. It is a collaboration between development and operation teams which enables continuous delivery of applications and services to our end users. However, if you want to become a DevOps engineer, you must have knowledge of various DevOps tools (like Git, Maven, Selenium, Jenkins, Docker, Ansible, Nagios etc.) to achieve automation at each stage which helps in gaining Continuous Development, Continuous Integration, Continuous Testing and Continuous Monitoring in order to deliver a quality product to the client at a very fast pace. Now, let us get started and understand DevOps and does the various DevOps tools work.
Below are the topics explained in this DevOps presentation:
1. What is DevOps?
2. Benefits of DevOps
3. Lifecycle of DevOps
4. Tools in DevOps
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
1. This DevOps training course will be of benefit the following professional roles:
2. Software Developers
3. Technical Project Managers
4. Architects
5. Operations Support
6. Deployment engineers
7. IT managers
8. Development managers
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
Focus on what matters: code
How to use and develop a GitHub Actions workflow using Node.js
With GitHub Actions (https://github.com/features/actions) you can automate your workflow from idea to production.
Actions can be written in any language, but we will take a closer look in how to write our workflow using Node.js and interact with the full GitHub API.
In this session, we will learn about Teamcity CI Server. We will look at the different options available and how we can set a CI pipeline using Teamcity.
In this session, we'll explore how to deploy various applications to azure using YAML pipelines. First we'll peek into the basics of azure pipelines (stages, jobs, tasks, agents, triggers etc). Then we'll walk through some examples - deploying an angular app to azure static storage, deploying a containerized node/express app to azure app service, zip-deploying an asp.net core app to app service.
Pipeline as code - new feature in Jenkins 2Michal Ziarnik
What is pipeline as code in continuous delivery/continuous deployment environment.
How to set up Multibranch pipeline to fully benefit from pipeline features.
Jenkins master-node concept in Kubernetes cluster.
Atlanta Jenkins Area Meetup October 22nd 2015Kurt Madel
Jenkins Workflow is a game changing way to write automation jobs with Jenkins. Workflows can support simple, one-step hello-world type jobs to the most complex, parallel pipelines. Best of all, they support manual/automated intervention (eg: approvals) and also workflows survive Jenkins master restarts. Combining Jenkins Workflow with Docker can seriously reduce friction in your DevOps efforts. Come learn how.
Explore seamless development with Continuous Integration using Jenkins and Python. Learn the essentials of integrating Jenkins with Python for efficient software deployment and management.
After a brief recap of what p2 is and depicting the overall vision, the presenter will show how this vision is realized and how the improvements made to both the runtime (core and UI) and the tooling in Galileo pave the way for a better provisioning solution at Eclipse.
Jenkins is a Continuous Integration (CI) server or tool which is written in Java. It provides Continuous Integration services for software development, which can be started via command line or web application server. Jenkins Pipeline is a suite of plugins which supports implementing and integrating continuous delivery pipelines into Jenkins.
This presentation walks through a Jenkins as Code approach that aims to fully automate and describe the creation of Infrastructure, Application and Configuration as Code.
We treat our applications with a strong 'as code' approach, but often forget about the critical operational tools. This presentation shows how it is possible to create a code first approach to creating and managing a Jenkins Service.
Working code repository is available at https://bitbucket.org/stevemac/dockerfiles
It’s 2021. Why are we -still- rebooting for patches? A look at Live Patching.All Things Open
Presented by: Igor Seletskiy
Presented at the All Things Open 2021
Raleigh, NC, USA
Raleigh Convention Center
Abstract: IT Teams know the drill. New security bulletins, new issues, new patches to deploy. Schedule another maintenance operation and prepare for system downtime.
There is a better way to do things. Live patching has been around in the Linux Kernel for some time now, but adoption has not been ideal so far - either because of a lack of trust in the technology or just lack of awareness - or sysadmins just enjoy interrupting their workloads or users.
Live patching consists of two aspects. First, there has to be a mechanism for function redirection in the kernel. As in many things, the kernel actually provides three different subset of tools that provide this functionality - kprobes, fprobes and Livepatching. Secondly, Live Patching relies on a set of tools to generate the actual patches to deploy, replacing the old code with new one. This is arguably the most involved part: you need to fit your new code in the proper space, you can’t overwrite other unrelated code and you need to maintain compatibility with other functions. If you change your parameter list, for example, its game over - something will break in the worst possible way.
In this talk we’ll go over issues like Consistency model, patch generation, deployment mechanisms and identify situations that are ideal candidates for live patching instead of traditional patching operations.
Similar to Implementing CI CD UiPath Using Jenkins Plugin (20)
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
1. Satish Prasad
Working Example GitHub Repo
rpabotsworld.com/implementing-ci-cd-uipath-using-jenkins-plugin/
Implementing CI CD UiPath Using Jenkins Plugin
(Step by step guide to Implement CI CD UiPath Using Jenkins Plugins)
In this article, I have tried to give a simplistic view of the integration required for the
implementation of CI-CD tools- GIT and Jenkins with UiPath. A similar guide is already
published for Azure Pipelines.
In this article, we have covered –
1. Basic of Jenkins to get started
2. Key Jenkins concepts to remember
3. Install and configure UiPath Jenkins Plugin
4. Building pipeline using Jenkins for Build, Test and Deploy
5. Working example (Jenkins files)
6. Further Improvements
Let’s get started!
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2. Pre-requisites
You should have Jenkins server Up and Running (You can install fresh or Use
existing …follow the installation step for windows as we need a window-based
agent for UiPath)
UiPath should be installed in a machine that would be used for DevOps.
Your Source code should be kept in Version Control System (Such as Git, GitHub
etc.…)
You should have administrative access on UiPath Orchestrator Instance.
You should have (Required User API Keys) for Orchestrator API access
Table of Contents
Why Jenkins
Jenkins introduces a domain-specific language (DSL) based on ‘Groovy’, which can be
used to define a new pipeline as a script.
1. Using Jenkins Pipeline to automate CI/CD pipelines dramatically increases
repeat-ability, reliability, efficiency, and quality.
2. The Pipeline allows managing the process code like any other production code,
facilitating iterative development for pipelines, along with access control, code
review, audit trails, and a single source for truth that is review-able (and
potentially an approval/promotion process) by multiple project members.
3. Multi-branch pipelines are also possible to configure different jobs for different
branches within a single project
Few Requirements to be considered
Similar to Azure UiPath Pipelines Example, we have two options to create our pipelines.
1. You can use UiRobot.Exe (Or UiPath PowerShell Utility) to perform various tasks.
This method will require you to write PowerShell snippet using cmdlet to perform
tasks.
2. You can use the “UiPath Jenkins Plugin” to perform the required Build, Test and
Publish tasks… all you need to do is utilize “UiPathPack”, “UiPathTest” and
“UiPathDeploy” with required configuration.
3. You can create pipeline using the classic Jenkins UI to define your build and other
stages …Or simply creating Jenkins File inside your source code to perform your
task…
For this article, we are going to use the “UiPath Jenkins Plugin” to create pipelines
using the “Jenkins File” kept inside project folder…
Why Using a Jenkinsfile
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3. Jenkinsfile is a text file that contains the definition of a Jenkins Pipeline.The different
organization has a different approach to building pipelines, however creating a
Jenkinsfile, which is checked into source control provides below benefits –
As Pipelines continue to grow, it would be difficult to maintain them, by using the
text area present in the Jenkins job configuration page only. A better option is to
store them in specific files versioned within your project repository.
Complex Pipelines are difficult to write and maintain within the classic UI’s Script
text area of the Pipeline configuration page.
You can review/add additional stages for pipelines
You should be able to have audit trails of pipeline changes inside the version
control system
Jenkinsfile is not a replacement for existing build tools it only binds the multiple
phases of project life cycle…Not only this it can be also utilized to perform various
post-deployment actions.
Key Jenkins Pipeline concepts
[You can skip this section if you are already aware of basic terminologies of DevOps
implementation]
As discussed above, the definition of a Jenkins Pipeline is written into a text file (called
a Jenkinsfile) which in turn can be committed to a project’s source control repository.
The following concepts are key aspects of Jenkins Pipeline-
1. Pipeline – A Pipeline’s code defines your entire integration and build process,
which typically includes stages, steps for building an application, testing it and
then delivering it.
2. Node– A node is a machine which is part of the Jenkins environment and is
capable of executing a Pipeline. (You can treat node as Agent which is configured
and contains all the required tool to build your project.)
3. Stages – A Stage Block logically separate the tasks performed through the entire
process, for Example “Build”, “Test” and “Deploy” stages.
4. Steps – A single task. Fundamentally, a step tells Jenkins what to do at a
particular point in time (or “step” in the process).
5. Directives – The environment directive specifies a sequence of key-value pairs
which will be defined as environment variables for all steps, or stage-specific
steps, depending on where the environment directive is located within the
Pipeline.
6. Post – The post section defines one or more additional steps that are run upon
the completion of a Pipeline’s or stage’s run (depending on the location of the post
section within the Pipeline). post can support any of the following post-condition
blocks: always, changed, fixed, regression, aborted, failure, success, unstable,
unsuccessful, and cleanup.
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4. There are few other levels and options which are also required if you wish to create
more complex example. You can read the syntax of Pipeline here. (Pipelines syntax)
Declarative versus Scripted Pipeline syntax
A Jenkins file (Pipeline) can be written in two types of syntax-
Declarative – is a relatively new addition to pipeline syntax and provide a simplified
way to get started with the configuration to perform various steps.
(Imposes limitations to the user with a much stricter and pre-defined structure)
Its start within a pipeline block, for example, pipeline {/* Insert Details inside */}
It follows the same rules as Groovy’s syntax
Blocks must only consist of Sections, Directives, Steps, or assignment statements.
Scripted– Scripted Pipelines can include and make use of any valid Groovy code.
Scripted Pipelines are wrapped in a node block. Here a node refers to a system
that contains the Jenkins agent pieces and can run jobs(example node{/* Insert
Details here */} )
Most functionality provided by the Groovy language is made available to users of
Scripted Pipeline, which means it can be a very expressive and flexible tool with
which one can author continuous delivery pipelines.
Syntax Comparison:
Scripted Pipeline offers a tremendous amount of flexibility and extensibility to
Jenkins users. The Groovy learning-curve isn’t typically desirable for all members
of a given team, so Declarative Pipeline was created to offer a simpler and more
opinionated syntax for authoring Jenkins Pipeline.
Both are fundamentally the same Pipeline sub-system underneath. They are both
durable implementations of “Pipeline as code.” They are both able to use steps
built into Pipeline or provided by plugins.
Pipeline Example Syntax
Consider the following Pipeline which implements a basic three-stage continuous
delivery pipeline.
The most fundamental part of a pipeline is “steps”, which tell Jenkins what to do and
serve as a basic building block.
You should be able to construct a more complex example using Directives and Steps.
4/15
5. pipeline {
agent any
stages {
stage('Build') {
steps {
echo 'Building...'
}
}
stage('Test') {
steps {
echo 'Testing...'
}
}
stage('Deploy') {
steps {
echo 'Deploying....'
}
}
}
}
We will see this in details in next section when we create pipeline for UiPath project.
UiPath Jenkins Plugin
The UiPath Jenkins Plugin allows you to integrate RPA development and Software
Testing with UiPath into Jenkins.
It provides build tasks to pack UiPath projects into nuget packages, deploy them to
Orchestrator and run Test Sets on Orchestrator.
Installing and enabling the plugin
1. You can install UiPath Plugin using the Plugin Manager screen.
2. Once Plugin is Installed you can use Snippet Generator also to create snippets of
code for practically all the steps available within a pipeline.
Using Global and Local Environment Variables
5/15
6. Jenkins Pipeline exposes environment variables via the global variable env, which is
available from anywhere within a Jenkinsfile.
Environment variables are accessible from Groovy code as env.VARNAME or simply as
VARNAME. You can write to such properties as well (only using the env. prefix).
Below are few common environment variables we will use inside our pipeline.
1. BRANCH_NAME – Name of the branch being built.
2. BUILD_NUMBER – The current build number, such as “12”
3. JOB_NAME – Name of the project of this build.
4. JENKINS_HOME – The absolute path of the directory assigned on the master
node for Jenkins to store data.
5. JOB_URL – Full URL of this job, like http://server:port/jenkins/job/foo/
(Jenkins URL must be set)
(The full list of environment variables accessible from within Jenkins Pipeline is
documented at ${YOUR_JENKINS_URL}/pipeline-syntax/globals#env)
Note –
1. The currentBuild variable, which is of type RunWrapper, may be used to refer
to the currently running build to get information on current results, duration.
2. You can also use a sequence of key-value pairs which will be defined as
environment variables for all steps, or stage-specific steps, depending on where
the environment directive is located within the Pipeline.
Handling Credentials/API Keys
Jenkins’ declarative Pipeline syntax has the credentials() helper method (used
within the environment directive) which supports secret text, username and password,
as well as secret file credentials.
You can create Credentials by Navigating to Credentials Page and selecting the Store
(Logical group to separate access).
For our example, we need to store basic username and password if using on-perm
orchestrator or user APIKEY in case you are using cloud orchestrator.
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7. Supported Credentials Type:
Secret Text – Can be used to store API Keys
Secret File – Can be used to access location of the file.
Username and password – the environment variable specified will be set to
username:password and two additional environment variables will be
automatically defined: MYVARNAME_USR and MYVARNAME_PSW
respectively.
SSH with Private Key – environment variable specified will be set to the location
of the SSH key file
Handling Failure/Notification/Cleanup
Declarative Pipeline supports robust failure handling by default via its post section
which allows declaring a number of different “post conditions” such as: always,
unstable, success, failure, and changed.
Example Syntax.(You can do many steps here like sending email, approval, Slack
Notification etc…)
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8. post
{
changed
{
echo "Status has changed"
}
failure
{
echo "Status is failure"
//You can post your failure message here
}
success
{
echo "Status is success"
//You can post your failure message here and probably you wish to send email to
notification
}
unstable
{
echo "Status is unstable"
}
aborted
{
echo "Status is aborted"
//Good to send Slack Notification when aborted
}
always {
script {
BUILD_USER = getBuildUser()
}
echo 'I will always say hello in the console.'
slackSend channel: '#slack-test-channel',
color: COLOR_MAP[currentBuild.currentResult],
message: "*${currentBuild.currentResult}:* Job ${env.JOB_NAME} build
${env.BUILD_NUMBER} by ${BUILD_USER}n More info at: ${env.BUILD_URL}"
}
}
Working Example (Using Jenkinsfile Declarative Pipeline)
So far so good, we have covered almost all the basic details we need to Build our UiPath
Pipeline.
At this point of article, I assume you have.
1. Jenkins Installed locally or On Network (for testing we installed it locally on the
same machine where we have UiPath)
2. You have your source code available in Git or any Version control system.
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9. 3. You have required credentials for accessing the UiPath Orchestrator Instance
(enterprise or cloud)
Let’s see our pipeline working – (We will do it in two steps)
You can clone the working example from github repo to try your hands on same...
Multi-branch pipelines are also possible to configure different jobs for different
branches within a single project
Check at Github
Step 1 – Create New Item as “Multi-branch pipelines” using GitHub
Source code.
Click New Item in the top left corner on the Jenkins dashboard.
Enter the name of your project in the Enter an item name field, scroll down, and
select Multibranch Pipeline and click OK button.
Add a Branch Source (for example, GitHub) and enter the location of the
repository.
Select the Add button to add credentials and click Jenkins. Enter the GitHub
username, Password, ID, and Description
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10. You also need to configure the Build; you can select the Mode as by Jenkinsfile
and Script Path as you wish to name it.
Jenkins automatically scans the designated repository and does some indexing for
organization folders. You might need to configure the webhooks to communicate
with our GitHub repository.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec
ullamcorper mattis, pulvinar dapibus leo.
Step 2- Create your initial Pipeline as a Jenkinsfile with build and test
stages
You’re now ready to create the Pipeline that will automate building your UiPath Project
in Jenkins.
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11. Use your favourite text editor or IDE, open the existing Jenkinsfile at the root of
your project or create new Jenkinsfile
Copy the following Declarative Pipeline code and paste it into your empty
Jenkinsfile:
pipeline {
agent any
// Environment Variables
environment {
MAJOR = '1'
MINOR = '0'
//Orchestrator Services
UIPATH_ORCH_URL = "https://cloud.uipath.com/"
UIPATH_ORCH_LOGICAL_NAME = "AIFabricDemo"
UIPATH_ORCH_TENANT_NAME = "UATdfds611009"
UIPATH_ORCH_FOLDER_NAME = "Shared"
}
stages {
// Printing Basic Information
stage('Preparing'){
steps {
echo "Jenkins Home ${env.JENKINS_HOME}"
echo "Jenkins URL ${env.JENKINS_URL}"
echo "Jenkins JOB Number ${env.BUILD_NUMBER}"
echo "Jenkins JOB Name ${env.JOB_NAME}"
echo "GitHub BranhName ${env.BRANCH_NAME}"
checkout scm
}
}
// Build Stages
stage('Build') {
steps {
echo "Building..with ${WORKSPACE}"
UiPathPack (
outputPath: "Output${env.BUILD_NUMBER}",
projectJsonPath: "project.json",
version: [$class: 'ManualVersionEntry', version:
"${MAJOR}.${MINOR}.${env.BUILD_NUMBER}"],
useOrchestrator: false
)
}
}
// Test Stages
stage('Test') {
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12. steps {
echo 'Testing..the workflow...'
}
}
// Deploy Stages
stage('Deploy to UAT') {
steps {
echo "Deploying ${BRANCH_NAME} to UAT "
UiPathDeploy (
packagePath: "Output${env.BUILD_NUMBER}",
orchestratorAddress: "${UIPATH_ORCH_URL}",
orchestratorTenant: "${UIPATH_ORCH_TENANT_NAME}",
folderName: "${UIPATH_ORCH_FOLDER_NAME}",
environments: 'DEV',
//credentials: [$class: 'UserPassAuthenticationEntry', credentialsId: 'APIUserKey']
credentials: Token(accountName: "${UIPATH_ORCH_LOGICAL_NAME}",
credentialsId: 'APIUserKey'),
)
}
}
// Deploy to Production Step
stage('Deploy to Production') {
steps {
echo 'Deploy to Production'
}
}
}
// Options
options {
// Timeout for pipeline
timeout(time:80, unit:'MINUTES')
skipDefaultCheckout()
}
//
post {
success {
echo 'Deployment has been completed!'
}
failure {
echo "FAILED: Job '${env.JOB_NAME} [${env.BUILD_NUMBER}]'
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13. (${env.JOB_DISPLAY_URL})"
}
always {
/* Clean workspace if success */
cleanWs()
}
}
}
Save your edited Jenkinsfile and commit it the Git Repo. That’s all you need to do
for now.
Lets quickly run the Build to see the results.
If everything goes well you should be able to see the published package inside your
orchestrator instance.
Running you Build Pipeline
1. Go back to the repository and change to the Branch and Update any of the files. In
our example, we update the README.md file.
2. You will see that the Jenkins job will trigger automatically. (it scans the repo and
create Build Queues)
3. You can also run the “pipeline” by manually scanning the Repository.
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14. Stage Wise Build status
You can see the console logs by navigating to Build history.
How do I configure a user account to have ‘logon as a service’
permissions?
When installing a service to run under a domain user account, the account must have
the right to logon as a service on the local.
Perform the following to edit the Local Security Policy of the computer you want to
define the ‘logon as a service’ permission:
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15. Logon to the computer with administrative privileges.
Open the ‘Administrative Tools’ and open the ‘Local Security Policy’
Expand ‘Local Policy’ and click on ‘User Rights Assignment’
In the right pane, right-click ‘Log on as a service’ and select properties.
Click on the ‘Add User or Group…’ button to add the new user.
In the ‘Select Users or Groups’ dialogue, find the user you wish to enter and click
‘OK’
Click ‘OK’ in the ‘Log on as a service Properties’ to save changes.
Refer Jenkins installation setup
How do I configure Orchestrator API Keys?
1. The Tenants page enables you to access API specific information for each of your
existing Orchestrator services (if you have the Organization Owner or
Organization Administrator role).
2. Navigate to Admin > Tenants. The Tenants page is displayed with a list of all
existing tenants.
3. Expand the desired tenant to display the available services.
4. Click API Access () for the corresponding Orchestrator service. The API Access
window is displayed with the following service-specific information:
User Key – allows you to generate unique login keys to be used with APIs
or with 3rd party applications in order to log in and perform actions on your
behalf. This was previously known as your refresh token.
Account Logical Name – your unique site URL, (for example
cloud.uipath.com/yoursiteURL). Read more about it here.
Tenant Name – the tenant’s display name.
Client Id – specific to the Orchestrator application itself, it is the same for
all users and Orchestrator services on a specific platform. For example, all
the Orchestrator services on cloud.uipath.com have the same Client Id value.
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