At Your Service: Using Jenkins in OperationsMandi Walls
This document provides an overview of using Jenkins for continuous integration and automation tasks. It begins with introducing Jenkins and its common uses. The presenter then explains that the workshop will provide examples of tasks that can be automated with Jenkins rather than being an exhaustive Jenkins tutorial. Examples of jobs that could be automated include continuously building a project, running tests, and checking for errors. The document walks through setting up a sample Jenkins project that checks out code files from a Git repository, builds them into an RPM package, adds the RPM to a repository, and loads the files onto a server. It provides details on configuring the project, scheduling automatic builds, and viewing the output of the initial test build.
Puppet, Jenkins, and continuous integration (CI) were discussed. The presentation covered installing Jenkins as a master and slaves using Puppet, integrating Github pull requests with Jenkins and Mergeatron, and testing Puppet code with tools like Puppet Lint, Rspec-Puppet, and eventually running Puppet code on VMs. Future work may involve catalog checking and running Puppet code against real systems.
Maven: Managing Software Projects for Repeatable ResultsSteve Keener
Maven is a tool for managing Java-based software projects that provides a standard way to manage builds, documentation, dependencies, and project metadata. It simplifies common project tasks like compiling code, generating reports, and managing dependencies. Maven uses a Project Object Model (POM) file to store build settings and dependencies for a project. It maintains a central repository of dependencies to avoid duplicate copies of files. Maven builds can be configured to compile code, test it, package artifacts, and generate reports through a standardized process. Maven archetypes provide project templates to quickly generate new projects with common configurations.
The document describes an approach to managing CI/CD pipelines for over 400 .NET solution repositories using Cake, a build automation system for .NET. A master repository is used to define common build, test and package tasks that each individual repository can inherit from. This avoids duplicating code and allows centralized management of the pipelines. An infrastructure is also described that includes Jenkins for running builds, Slack for notifications, Elasticsearch for telemetry, and a custom dashboard for visualizing status.
Jenkins is a unique piece of software, lots of people and enterprises use it to deploy and build their software and also their infrastructure. It has tons of plugins, and can do virtually anything. It is important for both devs and ops. This talk will be about how you can automate and test your Jenkins instances. In the past, the tooling around it was not so great, but it has changed. Tools like Jenkins Pipeline and Job DSL plugin has entered the game and are here to stay.
Jenkins vs. AWS CodePipeline (AWS User Group Berlin)Steffen Gebert
This document summarizes a presentation comparing Jenkins and AWS CodePipeline for continuous integration and delivery. It provides an overview of how to set up and use Jenkins and CodePipeline, including building environments, secrets handling, testing, branching strategies, approvals, and deployments. It also compares features, pricing, access control, and visualization capabilities between the two tools. Finally, it discusses options for integrating Jenkins and CodePipeline together to leverage the strengths of both solutions. The overall message is that the best tool depends on each organization's needs, and combining tools can provide benefits over relying on a single solution.
At Your Service: Using Jenkins in OperationsMandi Walls
This document provides an overview of using Jenkins for continuous integration and automation tasks. It begins with introducing Jenkins and its common uses. The presenter then explains that the workshop will provide examples of tasks that can be automated with Jenkins rather than being an exhaustive Jenkins tutorial. Examples of jobs that could be automated include continuously building a project, running tests, and checking for errors. The document walks through setting up a sample Jenkins project that checks out code files from a Git repository, builds them into an RPM package, adds the RPM to a repository, and loads the files onto a server. It provides details on configuring the project, scheduling automatic builds, and viewing the output of the initial test build.
Puppet, Jenkins, and continuous integration (CI) were discussed. The presentation covered installing Jenkins as a master and slaves using Puppet, integrating Github pull requests with Jenkins and Mergeatron, and testing Puppet code with tools like Puppet Lint, Rspec-Puppet, and eventually running Puppet code on VMs. Future work may involve catalog checking and running Puppet code against real systems.
Maven: Managing Software Projects for Repeatable ResultsSteve Keener
Maven is a tool for managing Java-based software projects that provides a standard way to manage builds, documentation, dependencies, and project metadata. It simplifies common project tasks like compiling code, generating reports, and managing dependencies. Maven uses a Project Object Model (POM) file to store build settings and dependencies for a project. It maintains a central repository of dependencies to avoid duplicate copies of files. Maven builds can be configured to compile code, test it, package artifacts, and generate reports through a standardized process. Maven archetypes provide project templates to quickly generate new projects with common configurations.
The document describes an approach to managing CI/CD pipelines for over 400 .NET solution repositories using Cake, a build automation system for .NET. A master repository is used to define common build, test and package tasks that each individual repository can inherit from. This avoids duplicating code and allows centralized management of the pipelines. An infrastructure is also described that includes Jenkins for running builds, Slack for notifications, Elasticsearch for telemetry, and a custom dashboard for visualizing status.
Jenkins is a unique piece of software, lots of people and enterprises use it to deploy and build their software and also their infrastructure. It has tons of plugins, and can do virtually anything. It is important for both devs and ops. This talk will be about how you can automate and test your Jenkins instances. In the past, the tooling around it was not so great, but it has changed. Tools like Jenkins Pipeline and Job DSL plugin has entered the game and are here to stay.
Jenkins vs. AWS CodePipeline (AWS User Group Berlin)Steffen Gebert
This document summarizes a presentation comparing Jenkins and AWS CodePipeline for continuous integration and delivery. It provides an overview of how to set up and use Jenkins and CodePipeline, including building environments, secrets handling, testing, branching strategies, approvals, and deployments. It also compares features, pricing, access control, and visualization capabilities between the two tools. Finally, it discusses options for integrating Jenkins and CodePipeline together to leverage the strengths of both solutions. The overall message is that the best tool depends on each organization's needs, and combining tools can provide benefits over relying on a single solution.
Maven is close to ubiquitous in the world of enterprise Java, and the Maven dependency ecosystem is the de facto industry standard. However, the traditional Maven build and release strategy, based on snapshot versions and carefully planned releases, is difficult to reconcile with modern continuous delivery practices, where any commit that passes a series of quality-control gateways can qualify as a release. How can teams using the standard Maven release process still leverage the benefits of continuous delivery? This presentation discusses strategies that can be used to implement continuous delivery solutions with Maven and demonstrates one such strategy using Maven, Jenkins, and Git.
Becoming a Plumber: Building Deployment Pipelines - All Day DevOpsDaniel Barker
A core part of our IT transformation program is the implementation of deployment pipelines for every application. Attendees will learn how to build abstract pipelines that will allow multiple types of applications to fit the same basic pipeline structure. This has been a big win for injecting change and updating legacy applications.
Pimp your Continuous Delivery Pipeline with Jenkins workflow (W-JAX 14)CloudBees
Continuous delivery pipelines are, by definition, workflows with parallel job executions, join points, retries of jobs (Selenium tests are fragile) and manual steps (validation by a QA team). Come and discover how the new workflow engine of Jenkins CI and its Groovy-based DSL will give another dimension to your continuous delivery pipelines and greatly simplify your life.
Sample workflow groovy script used in this presentation: https://gist.github.com/cyrille-leclerc/796085e19d9cec4a71ef
Jenkins workflow syntax reference card: https://github.com/cyrille-leclerc/workflow-plugin/blob/master/SYNTAX-REFERENCE-CARD.md
Automated Deployment Pipeline using Jenkins, Puppet, Mcollective and AWSBamdad Dashtban
This document discusses using Jenkins, Puppet, and Mcollective to implement a continuous delivery pipeline. It recommends using infrastructure as code with Puppet, nodeless Puppet configurations, and Mcollective to operate on collectives of servers. Jenkins is used for continuous integration and triggering deployments. Packages are uploaded to a repository called Seli that provides a REST API and can trigger deployment pipelines when new packages are uploaded. The goal is to continuously test, deploy, and release changes through full automation of the software delivery process.
This document outlines 15 ways to fail at implementing DevOps. It begins by defining key DevOps concepts like continuous integration, continuous delivery, and continuous deployment. It then lists common misconceptions about DevOps, such as thinking it is only about tools or automation, or can be enforced top-down. The document concludes that DevOps is really about culture, freedom and responsibility, and empathy between teams.
Scaling mobile testing on AWS: Emulators all the way downKim Moir
This talk will explore the evolution of Mozilla's continuous integration infrastructure for Firefox for Android. From our early device lab, to running tests on reference cards in custom racks, to our current implementation running on emulators in AWS. In addition, I'll discuss how we reduced the cost of running our tests in AWS by the use of spot instances, and fine tuning the selection of instance types. Finally, I'll discuss how we analyzed regression data to prune the number of tests we run to extend the capacity of our test pools and reduce costs. To give you some scope, our continuous integration farm consists of 6700 machines, 150,000 combined daily build and test jobs that are triggered by an average 300 pushes. This talk was given at USENIX release engineering summit in Washington, DC on November 13, 2015.
Jenkins is a tool that allows users to automate multi-step processes that involve dependencies across multiple servers. It can be used to continuously build, test, and deploy code by triggering jobs that integrate code, run tests, deploy updates, and more. Jenkins provides a web-based interface to configure and manage recurring jobs and can scale to include slave agents to perform tasks on other machines. It offers many plugins to support tasks like testing, deployment, and notifications.
This document provides an introduction to the Apache Maven build tool. It discusses Maven's history and advantages, including its ability to automate builds, manage dependencies, and generate documentation. The core concepts of Maven such as the project object model (POM), plugins, goals, phases, and repositories are explained. Maven allows projects to be easily built, tested, packaged, and documented through the use of a standardized project structure and configuration defined in the POM.
Jenkins days workshop pipelines - Eric Longericlongtx
This document provides an overview of a Jenkins Days workshop on building Jenkins pipelines. The workshop goals are to install Jenkins Enterprise, create a Jenkins pipeline, and explore additional capabilities. Hands-on exercises will guide attendees on installing Jenkins Enterprise using Docker, creating their first pipeline that includes checking code out of source control and stashing files, using input steps and checkpoints, managing tools, developing pipeline as code, and more advanced pipeline steps. The document encourages attendees to get involved with the Jenkins and CloudBees communities online and on Twitter.
1. The document discusses various ways to configure complex workflows in Jenkins using plugins like the Parameterized Trigger Plugin, Multi-Configuration Project, Promoted Builds Plugin, and Fingerprint Plugin.
2. Key aspects covered include passing parameters between jobs, running jobs in parallel configurations, promoting builds between stages like testing and production, and tracking artifacts and dependencies between jobs.
3. Advanced workflow capabilities in Jenkins allow automating multi-step build, test, and deployment processes in a flexible and reusable manner.
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.
This document provides an overview of continuous integration and Jenkins. It discusses how continuous integration addresses issues with integration phases in older software development models. Jenkins is introduced as a tool that facilitates continuous integration by automatically building and testing software changes. The document then demonstrates how to install Jenkins, configure repositories and jobs, and see how builds pass or fail based on code changes.
Building an Extensible, Resumable DSL on Top of Apache Groovyjgcloudbees
Presented at: https://apacheconeu2016.sched.org/event/8ULR
n 2014, a few Jenkins hackers set out to implement a new way of defining continuous delivery pipelines in Jenkins. Dissatisfied with chaining jobs together, configured in the web UI, the effort started with Apache Groovy as the foundation and grew from there. Today the result of that effort, named Jenkins Pipeline, supports a rich DSL with "steps" provided by a Jenkins plugins, built-in auto-generated documentation, and execution resumability which allow Pipelines to continue executing while the master is offline.
In this talk we'll take a peek behind the scenes of Jenkins Pipeline. Touring the various constraints we started with, whether imposed by Jenkins or Groovy, and discussing which features of Groovy were brought to bear during the implementation. If you're embedding, extending or are simply interested in the internals of Groovy this talk should have plenty of food for thought.
SD DevOps Meet-up - Jenkins 2.0 and Pipeline-as-CodeBrian Dawson
This is a presentation given at the March 16th San Diego DevOps Meet-up covering some of the upcoming activities around Jenkin 2.0 and the Pipeline plugins which provide for Pipeline-as-Code and enable Jenkins with 1st class pipelines and stages.
Maven is a project management tool that provides conventions for building Java projects, including a standard project structure, dependency management, and lifecycle phases. It simplifies development by standardizing common tasks like compiling, testing, packaging, and deploying. Compared to Ant, Maven takes a more convention-based approach and handles dependencies and lifecycles automatically. The document provides an overview of Maven's key features and how it can help manage Java projects.
DevOps and Continuous Delivery reference architectures for DockerSonatype
This document provides links to blogs and presentations about DevOps and Continuous Delivery practices using Docker from various sources. It includes over 25 references to external resources on topics like Docker Universal Control Plane, Continuous Delivery, clustering Jenkins, Docker introductions, monitoring deployments, Docker in build pipelines, and deploying containers to IBM Bluemix. The document promotes a one-day DevOps conference and offers a free private Docker registry and to share additional Docker reference architectures.
Jenkins Pipeline allows automating the process of software delivery with continuous integration and deployment. It uses Jenkinsfiles to define the build pipeline through stages like build, test and deploy. Jenkinsfiles can be written declaratively using a domain-specific language or scripted using Groovy. The pipeline runs on agent nodes and is composed of stages containing steps. Maven is a build tool that manages Java projects and dependencies through a POM file. The POM defines project properties, dependencies, plugins and profiles to customize builds.
Maven is close to ubiquitous in the world of enterprise Java, and the Maven dependency ecosystem is the de facto industry standard. However, the traditional Maven build and release strategy, based on snapshot versions and carefully planned releases, is difficult to reconcile with modern continuous delivery practices, where any commit that passes a series of quality-control gateways can qualify as a release. How can teams using the standard Maven release process still leverage the benefits of continuous delivery? This presentation discusses strategies that can be used to implement continuous delivery solutions with Maven and demonstrates one such strategy using Maven, Jenkins, and Git.
Becoming a Plumber: Building Deployment Pipelines - All Day DevOpsDaniel Barker
A core part of our IT transformation program is the implementation of deployment pipelines for every application. Attendees will learn how to build abstract pipelines that will allow multiple types of applications to fit the same basic pipeline structure. This has been a big win for injecting change and updating legacy applications.
Pimp your Continuous Delivery Pipeline with Jenkins workflow (W-JAX 14)CloudBees
Continuous delivery pipelines are, by definition, workflows with parallel job executions, join points, retries of jobs (Selenium tests are fragile) and manual steps (validation by a QA team). Come and discover how the new workflow engine of Jenkins CI and its Groovy-based DSL will give another dimension to your continuous delivery pipelines and greatly simplify your life.
Sample workflow groovy script used in this presentation: https://gist.github.com/cyrille-leclerc/796085e19d9cec4a71ef
Jenkins workflow syntax reference card: https://github.com/cyrille-leclerc/workflow-plugin/blob/master/SYNTAX-REFERENCE-CARD.md
Automated Deployment Pipeline using Jenkins, Puppet, Mcollective and AWSBamdad Dashtban
This document discusses using Jenkins, Puppet, and Mcollective to implement a continuous delivery pipeline. It recommends using infrastructure as code with Puppet, nodeless Puppet configurations, and Mcollective to operate on collectives of servers. Jenkins is used for continuous integration and triggering deployments. Packages are uploaded to a repository called Seli that provides a REST API and can trigger deployment pipelines when new packages are uploaded. The goal is to continuously test, deploy, and release changes through full automation of the software delivery process.
This document outlines 15 ways to fail at implementing DevOps. It begins by defining key DevOps concepts like continuous integration, continuous delivery, and continuous deployment. It then lists common misconceptions about DevOps, such as thinking it is only about tools or automation, or can be enforced top-down. The document concludes that DevOps is really about culture, freedom and responsibility, and empathy between teams.
Scaling mobile testing on AWS: Emulators all the way downKim Moir
This talk will explore the evolution of Mozilla's continuous integration infrastructure for Firefox for Android. From our early device lab, to running tests on reference cards in custom racks, to our current implementation running on emulators in AWS. In addition, I'll discuss how we reduced the cost of running our tests in AWS by the use of spot instances, and fine tuning the selection of instance types. Finally, I'll discuss how we analyzed regression data to prune the number of tests we run to extend the capacity of our test pools and reduce costs. To give you some scope, our continuous integration farm consists of 6700 machines, 150,000 combined daily build and test jobs that are triggered by an average 300 pushes. This talk was given at USENIX release engineering summit in Washington, DC on November 13, 2015.
Jenkins is a tool that allows users to automate multi-step processes that involve dependencies across multiple servers. It can be used to continuously build, test, and deploy code by triggering jobs that integrate code, run tests, deploy updates, and more. Jenkins provides a web-based interface to configure and manage recurring jobs and can scale to include slave agents to perform tasks on other machines. It offers many plugins to support tasks like testing, deployment, and notifications.
This document provides an introduction to the Apache Maven build tool. It discusses Maven's history and advantages, including its ability to automate builds, manage dependencies, and generate documentation. The core concepts of Maven such as the project object model (POM), plugins, goals, phases, and repositories are explained. Maven allows projects to be easily built, tested, packaged, and documented through the use of a standardized project structure and configuration defined in the POM.
Jenkins days workshop pipelines - Eric Longericlongtx
This document provides an overview of a Jenkins Days workshop on building Jenkins pipelines. The workshop goals are to install Jenkins Enterprise, create a Jenkins pipeline, and explore additional capabilities. Hands-on exercises will guide attendees on installing Jenkins Enterprise using Docker, creating their first pipeline that includes checking code out of source control and stashing files, using input steps and checkpoints, managing tools, developing pipeline as code, and more advanced pipeline steps. The document encourages attendees to get involved with the Jenkins and CloudBees communities online and on Twitter.
1. The document discusses various ways to configure complex workflows in Jenkins using plugins like the Parameterized Trigger Plugin, Multi-Configuration Project, Promoted Builds Plugin, and Fingerprint Plugin.
2. Key aspects covered include passing parameters between jobs, running jobs in parallel configurations, promoting builds between stages like testing and production, and tracking artifacts and dependencies between jobs.
3. Advanced workflow capabilities in Jenkins allow automating multi-step build, test, and deployment processes in a flexible and reusable manner.
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.
This document provides an overview of continuous integration and Jenkins. It discusses how continuous integration addresses issues with integration phases in older software development models. Jenkins is introduced as a tool that facilitates continuous integration by automatically building and testing software changes. The document then demonstrates how to install Jenkins, configure repositories and jobs, and see how builds pass or fail based on code changes.
Building an Extensible, Resumable DSL on Top of Apache Groovyjgcloudbees
Presented at: https://apacheconeu2016.sched.org/event/8ULR
n 2014, a few Jenkins hackers set out to implement a new way of defining continuous delivery pipelines in Jenkins. Dissatisfied with chaining jobs together, configured in the web UI, the effort started with Apache Groovy as the foundation and grew from there. Today the result of that effort, named Jenkins Pipeline, supports a rich DSL with "steps" provided by a Jenkins plugins, built-in auto-generated documentation, and execution resumability which allow Pipelines to continue executing while the master is offline.
In this talk we'll take a peek behind the scenes of Jenkins Pipeline. Touring the various constraints we started with, whether imposed by Jenkins or Groovy, and discussing which features of Groovy were brought to bear during the implementation. If you're embedding, extending or are simply interested in the internals of Groovy this talk should have plenty of food for thought.
SD DevOps Meet-up - Jenkins 2.0 and Pipeline-as-CodeBrian Dawson
This is a presentation given at the March 16th San Diego DevOps Meet-up covering some of the upcoming activities around Jenkin 2.0 and the Pipeline plugins which provide for Pipeline-as-Code and enable Jenkins with 1st class pipelines and stages.
Maven is a project management tool that provides conventions for building Java projects, including a standard project structure, dependency management, and lifecycle phases. It simplifies development by standardizing common tasks like compiling, testing, packaging, and deploying. Compared to Ant, Maven takes a more convention-based approach and handles dependencies and lifecycles automatically. The document provides an overview of Maven's key features and how it can help manage Java projects.
DevOps and Continuous Delivery reference architectures for DockerSonatype
This document provides links to blogs and presentations about DevOps and Continuous Delivery practices using Docker from various sources. It includes over 25 references to external resources on topics like Docker Universal Control Plane, Continuous Delivery, clustering Jenkins, Docker introductions, monitoring deployments, Docker in build pipelines, and deploying containers to IBM Bluemix. The document promotes a one-day DevOps conference and offers a free private Docker registry and to share additional Docker reference architectures.
Jenkins Pipeline allows automating the process of software delivery with continuous integration and deployment. It uses Jenkinsfiles to define the build pipeline through stages like build, test and deploy. Jenkinsfiles can be written declaratively using a domain-specific language or scripted using Groovy. The pipeline runs on agent nodes and is composed of stages containing steps. Maven is a build tool that manages Java projects and dependencies through a POM file. The POM defines project properties, dependencies, plugins and profiles to customize builds.
1) The document describes how a PaaS provider implemented continuous integration as a service at scale for over 700 .NET repositories using a Cake-based approach with common scripts and interfaces.
2) Common Cake scripts were developed and stored in a master repository to enable centralized management of CI/CD processes and deployment of repositories on demand.
3) Additional features like static code analysis, Slack notifications, and custom dashboards were integrated to provide visibility and monitoring across all repositories.
4) While Cake covered around 30% of repositories initially, additional adoption of Jenkins pipelines increased coverage to 70% by automating more common processes.
5) The provider aims to further improve automation and hide complexity by never exposing
Achieving Full Stack DevOps at Colonial Life DevOps.com
In an ever more competitive marketplace, organizations have turned to Agile and DevOps practices to deliver software innovations to market more quickly and with high quality. Across industries, companies are making heavy investments in tools and process improvements around automated build, test, continuous integration and delivery, and release automation and orchestration. However, despite these investments, many organizations are still struggling to bring the necessary speed and quality to their software delivery. In many cases, this is because Agile and DevOps improvements have not been applied to the entire software stack and are often limited to application code delivery.
This webinar will explore the transformation that Colonial Life made in bringing DevOps to the entire software stack. Specifically, beyond automating and accelerating the validation and delivery of application code, this webinar will focus on the critical role that data and the database play in modern software delivery and the tools and processes that can bring the same automation to database code.
After this webinar, you will understand:
* What holds organizations back despite an Agile application development process
* The benefits of automating the validation and deployment of database changes
* A template for bringing DevOps to the entire software stack
The document discusses bringing Maven build capabilities to a software project called gCube that currently uses Ant as its build system. It outlines four main steps: 1) Making Maven available on the build machines. 2) Enforcing proper build order and dependency resolution from a local Maven repository. 3) Facilitating integration by rewriting POM dependencies to latest versions. 4) Configuring release builds to deploy components to Maven repositories. The goal is to allow both Maven and Ant components to be built together while resolving dependencies appropriately and ensuring reproducible releases.
Electric Cloud develops software to accelerate software builds and provide insight into builds. Their main products are ElectricAccelerator and ElectricInsight. ElectricAccelerator significantly reduces build times by distributing builds across multiple servers using their dependency management system. It integrates with existing build tools like Make and Visual Studio. ElectricInsight provides graphical visualization of build information to help debug and optimize builds. Slow builds negatively impact developer productivity, integration testing, and software quality. Electric Cloud aims to address these problems through faster, more reliable parallelized builds.
This document provides information about a DevOps University workshop on Continuous Integration. It includes details about topics covered in the workshop such as Maven, Jenkins, continuous integration, continuous delivery, and benefits. It also provides information on installing and configuring Jenkins, managing security in Jenkins, and commonly used Jenkins plugins.
Maven is a build tool and project management tool that provides guidelines for best practices in software development. It manages projects and their dependencies. Maven uses a project object model (POM) file to describe a project, its dependencies and plugins. It incorporates the concept of "convention over configuration" by providing sensible defaults that can be customized. Maven manages builds through a lifecycle of phases where goals bound to each phase execute in order.
Discussion on angular offering, approaches to integrate web worker in angular (5 and 6) application, their pros and cons. A sample example implementation using custom web worker approach and integrating the same with CLI(1 and 6) and the application.
SE2018_Lec-22_-Continuous-Integration-ToolsAmr E. Mohamed
The document discusses build tools and continuous integration. It provides an overview of Maven, a build tool that standardizes project builds through conventions and dependencies. Maven aims to simplify builds through predefined directories and dependencies. It also provides dependency management, documentation generation, and release management. The document then discusses Jenkins, a tool for continuous integration that can trigger automated builds and tests. It notes Maven and Jenkins are often used together, with Maven for builds and Jenkins triggering builds.
Maven is a build tool that can manage a project's build process, dependencies, documentation and reporting. It uses a Project Object Model (POM) file to store build configuration and metadata. Maven has advantages over Ant like built-in functionality for common tasks, cross-project reuse, and support for conditional logic. It works by defining the project with a POM file then running goals bound to default phases like compile, test, package to build the project.
This document discusses OpenShift v3 and how it can help organizations accelerate development at DevOps speed. It provides an overview of Kubernetes and OpenShift's technical architecture, how OpenShift enables continuous delivery and faster cycle times from idea to production. It also summarizes benefits for developers, integrations, administration capabilities, and the OpenShift product roadmap.
The document provides an overview of Azure DevOps and why JavaScript developers should use it. It discusses features like source control, boards for tracking work items, pipelines for continuous integration and delivery, and testing. It also includes a demo of setting up a sample Create React App project in Azure DevOps, including configuring a pipeline to build and deploy the app to an Azure App Service. Resources for learning more about Azure DevOps, using it with JavaScript projects, and understanding Git are also provided.
Moving from CruiseControl.NET to Jenkins in the PVS-Studio development teamPVS-Studio
This document summarizes the PVS-Studio development team's experience moving from CruiseControl.NET (CCNet) to Jenkins as their continuous integration server. Some key issues with CCNet included that it was no longer being developed and had unstable source code management. Jenkins provided more flexibility through plugins and allowed separating build steps and logs through the Multijob plugin. This helped replicate CCNet's task visualization. Overall, Jenkins met their needs and provided ongoing support through active development.
Moving from CruiseControl.NET to Jenkins in the PVS-Studio development teamSofia Fateeva
Now it's hard to imagine software development without automated project builds and testing. There are various ready-made solutions to minimize the time expenses for the integration of the modifications into the project. In this article I am going to speak about the way PVS-Studio team changed the continuous integration server from CruiseControl.NET to Jenkins I will also be talking about the motives behind this decision, the goals we tried to pursue and the issues we had to deal with during that process.
Why you should consider a microframework for your next web projectJoaquín Muñoz M.
1) Microframeworks are lightweight frameworks that only handle core tasks like routing and sessions, giving developers freedom over components, patterns, and conventions.
2) In contrast, full-stack frameworks like Rails are more rigid since they enforce certain development philosophies and replacing core components requires more work.
3) For small projects, microframeworks keep code small since only necessary components are included, whereas full-stack frameworks start at a larger size and grow from there.
This document provides an overview of Ant and Maven build tools. It discusses what Ant and Maven are, their key features and differences. Ant is a build tool that uses XML files and custom tasks to automate software build processes. Maven is a build tool that standardizes project structures and dependencies and handles builds through a defined lifecycle of phases. The document compares their dependency management, configuration requirements and other technical differences.
[Devopsdays2021] Roll Your Product with Kaizen CultureWoohyeok Kim
This document discusses how the author's team at Rakuten implemented DevOps practices including containerization and test automation to improve their development and deployment processes. Some key points:
1) Previously, testing and deploying took a long time which increased lead times.
2) They decided to focus first on containerizing their web applications using Kubernetes and automating UI tests.
3) These changes helped reduce testing time from 20 hours to 5 minutes and sped up deployments. It also improved productivity by allowing more bottom-up projects and deeper understanding of their product.
4) The synergy between containerization and test automation helped optimize their development workflow and significantly cut down on lead times.
Intelligent Projects with Maven - DevFest IstanbulMert Çalışkan
The document discusses Maven, an open source build automation tool used primarily for Java projects. It provides an overview of Maven's key features like dependency management, build lifecycles, and the project object model (POM). The presentation also demonstrates how to create a basic Maven project, configure dependencies and repositories, and manage multi-module builds.
Similar to Adopting the Maven Nature in Papyrus Source Projects (20)
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Adopting the Maven Nature in Papyrus Source Projects
1. DIA Agency, Inc.
Maven Nature in Papyrus
Source projects
Prepared for: The Eclipse Papyrus Project
Committer Team
Prepared by: Christian W. Damus
18 February, 2015
2. DIA Agency, Inc.
Background
Motivation
It has been proposed to convert the source projects (primarily plug-in projects and
feature projects) in the Papyrus git repository to “m2e projects”, more formally adding
the Maven Nature to these projects and enabling the Maven Project Builder. Reasons
include but may not be limited to:
•Alignment with the mechanisms of the Hudson build from which the Papyrus
integration and release builds are published, which in the Mars release are based
on the Tycho plug-ins for Maven
•Integration of new build processes/steps, such as generation of code from EMF
generator models , which have already been implemented as Maven plug-ins and1
would otherwise need to be re-implemented as Eclipse builders (perhaps tied to
additional new project natures)
Concerns
As it constitutes a significant change to the management and behaviour of the Papyrus
source projects in every developer’s workbench, there are naturally concerns raised
about potential impact on developer workflows and productivity. Also, the historical
experience of individual developers with the technologies involved (Maven, Eclipse
m2e) raises questions. Most concerns relate to performance of Eclipse and scalability of
the implementation in workspaces that import most or all of the Papyrus source
projects:
See, for example, the Gerrit change implementing EMF model generation: https://git.eclipse.org/r/#/c/41167/1
Maven Nature in Papyrus Source Projects of1 13
3. DIA Agency, Inc.
•Off-line work: does a workspace build with Maven projects need to be on-line to
check remote repositories and download artifacts?
•The Papyrus builds currently perform very poorly in the project dependencies
resolution phase. Will workspace builds manifest similar performance issues?
•Do Maven projects actually run maven builds to accomplish a workspace build?
•Does this scale to the several hundred projects that comprise the complete Papyrus
source base?
Analysis
To answer the questions and concerns raised above, it is prudent to actually try an
experiment to prove one way or another the performance and usability of a large
Papyrus workspace when all of the source projects have the Maven Nature enabled.
This section records observations from just such an experiment, exercising various
scenarios of a typical Papyrus developer’s activities on a modern computer system: a
mid 2012 Retina MacBook Pro with a 750GB SSD, quad-core Intel Core i7, 16 MB RAM
running OS X 10.10.2.
Initial Import
The experiment started with a fresh workspace into which all of the Papyrus “main”
and “main tests” projects were imported using the Oomph Setup model and built in the
normal way, from the git commit ff639eed9c4371bfa80f3bc987229a9efe7deb3a (18 Feb
2015 09:15:23 EST) on the master branch. Next, certain Maven preferences were
configured to ensure that the experiment was well isolated:
Maven Nature in Papyrus Source Projects of2 13
4. DIA Agency, Inc.
Ensuring that Maven does not update anything from the Internet unnecessarily
Using a dedicated local Maven repository stored in a mounted disk image for ease of clean-up
Next, all projects in the Project Explorer were selected and converted to m2e projects
using the Configure → Convert to Maven Project context menu action. This initiated a
Maven Nature in Papyrus Source Projects of3 13
5. DIA Agency, Inc.
lot of automatic work, pegging the CPU for more than 20 minutes (the timing is
unknown due to absence from the office) but it did complete normally, with the Eclipse
workbench settling down to idleness without any error dialogs. However, the result
was not ready to use, as none of the projects yet understood the Tycho plug-in required
for successful build:
Project build configuration errors caused by missing lifecycle mappings for Tycho plug-ins
This is remedied by installing the Tycho connector for m2e and restarting Eclipse:
The m2e connector discovery automatically finds the Tycho connector
and then proceeding with the installation:
Maven Nature in Papyrus Source Projects of4 13
6. DIA Agency, Inc.
Installing the Tycho connector for m2e
This connector should be added to the Papyrus Setup model before any conversion of
the Papyrus projects to Maven Nature is implemented, so that developers do not have
to go through the connector discovery process themselves.
On restarting Eclipse after completing this installation, all of the source projects could
now be built. The resulting impact on the git workspace is considerable:
Converting to Maven projects results in 881 changes in git: new, changed, and deleted metadata files
Maven Nature in Papyrus Source Projects of5 13
7. DIA Agency, Inc.
But already this exercise has been illuminating because it highlights some potentially
significant problems, including:
Some projects that should be in the Papyrus release clearly aren’t being built by Hudson
Other projects still have inconsistent build metadata despite recent efforts to clean that up
Maven Nature in Papyrus Source Projects of6 13
8. DIA Agency, Inc.
Developer Workflows
The initial import and configuration of projects discussed above is a one-time cost that
will be absorbed by whichever committer does the Maven conversion. It should not be
something that any other Papyrus developer deals with. This section looks at typical
development scenarios that Papyrus developers do see every day.
Workspace Re-build
From time to time, Eclipse needs to re-build a significant subset of the projects in the
workspace (or even all of them) when some build configuration changes. That may be
default compiler settings or the dependencies declared in a bundle manifest. In the test
workspace, out of 441 projects, most depend on the org.eclipse.papyrus.infra.core.emf
plug-in either directly or indirectly. Changing the dependencies in this plug-in’s
manifest triggers a rebuild (because ‘build automatically’ is on) of this project and all of
its dependents. This re-build:
•took 2 minutes and 10 seconds the first time. Subsequent re-builds of a similar
nature would typically only take about a minute
•this compares to about 45 seconds currently in the regular PDE projects
•resulted in 1800+ new compile errors in the Class Diagram plug-in (that first time)
•conversion to Maven project updated the plug-in classpath, exposing a
disagreement between the required execution environment (BREE) and its
compiler settings. These are the compile errors pictured above. This is a good
result and easily fixed
•resulted in two errors on MANIFEST.MF in a test fragment because the Maven
conversion removed source path entries from the .classpath file (probably because
the build.properties file omitted the necessary source path specification)
•on fixing this, a dependency on the wrong Java SE version was revealed in the
same fragment
So, in fact, the performance of re-build is comparable to the status quo and the Maven
project nature highlights further build inconsistencies that were not revealed by the
Maven Nature in Papyrus Source Projects of7 13
9. DIA Agency, Inc.
Hudson build set-up. Notably, re-builds triggered by changes in API signatures that are
used by other projects are practically instantaneous. These are far more common than
the clean re-builds required by classpath changes.
Xtend Projects
Sometimes the Java sources generated from Xtend drift a bit out of sync and we force a
re-build by cleaning the project via the Project → Clean… menu action. In the
Mavenized org.eclipse.papyrus.uml.profile.assistants.generator projects this takes on
the order of a few seconds, comparable to the status quo. It is worth noting that this is
an Xtend project in which the generated Java sources are not committed to the git
repository.
Run-time Workbenches
A lot of a developer’s testing is done in a run-time workbench launched from the
development instance. This shows no problems, working as usual. In particular, the
plug-in configuration of the run-time instance is assembled from the PDE target and the
projects in the workspace. Likewise JUnit plug-in test launches.
Maven Projects Under the Hood
It is evident that m2e actually does not perform a maven build at all when building
most projects. Its primary function is to configure the project’s classpath based on the
dependencies specified in the pom.xml for the benefit of the regular JDT build. For the
most part, all build lifecycle phases are mapped to the internal builders provided by
Eclipse such as the JDT/PDE builders, Xtext builder, etc.:
•if one deletes the Java and Xtext builders from an Xtend project, then invoking
Project → Clean… on the project has no effect at all. Nothing cleaned and nothing
built
•however, one can run an external Maven build, if necessary, from the context menu
Run As → Maven Xyz action. But there would almost never be a reason to
•the main function that m2e provides is to give JDT a classpath container that
resolves the classpath from the POM dependencies, but the Tycho connector turns
Maven Nature in Papyrus Source Projects of8 13
10. DIA Agency, Inc.
that around and implies the POM dependencies from the MANIFEST.MF just as
PDE does for JDT
However, for build plug-ins that do not map to internal Eclipse builders, m2e uses an
embedded maven3 engine to run maven plug-ins as required. For example, to do a
clean build of the org.eclipse.papyrus.infra.constraints[.edit[or]] plug-ins as
reconfigured in Gerrit review 41167 :2
•the Maven builder provided by m2e generates the sources from the EMF genmodel
into the src-gen/ folder
•if one deletes the generated sources, it takes two clean re-builds to return to a
correctly compiled project: the first one generates the sources and the second one
re-compiles custom code that depends on the generated code
•this is easily fixed: it is only needed to move the Maven Project Builder ahead
of the other builders in the .project file
The Maven lifecycle mappings for a typical Xtend plug-in project
See https://git.eclipse.org/r/#/c/41167/2
Maven Nature in Papyrus Source Projects of9 13
11. DIA Agency, Inc.
Running an external Maven build, which is never necessary
The lifecycle mappings for custom Maven plug-ins that the Maven builder runs during project build
Maven Nature in Papyrus Source Projects of10 13
12. DIA Agency, Inc.
Additional Build Scenarios
Hopefully, most of the time, re-building the Eclipse workspace is an incremental
process. Only projects and/or files particularly affected by some specific change need
to be rebuilt. JDT manages this well enough, and as we have seen, in Maven projects
JDT is still in charge. However, there is still the need occasionally for a clean re-build of
all projects in the workspace (for example after pulling changes from a remote git
repository), which even without Maven tends to the tedious.
Full Clean Build
A clean re-build of the entire workspace, after first deleting the entire contents of the
local Maven repository:
•takes about 65 seconds for the clean phase, including downloading core Maven
plug-ins, Tycho plug-ins, Xtext plug-ins required for cleaning and their
dependencies
•takes about 3 minutes and 55 seconds for the entire build (including the
aforementioned cleaning phase). The build
•uses the PDE target: EMF plug-ins are only downloaded that are needed to
support the Papyrus EMF model generator plug-in
•includes downloading the rest of the maven plug-ins required for build (but,
again, not the target platform, which is entirely provided by PDE)
•this compares to 1 minute 30 seconds for a full clean build in the pre-Maven
workspace (in which the clean step takes a mere 10 seconds)
The point about the PDE target, above, implies that we need make no changes to the
Papyrus Oomph Setup model, because we still need it to provision the PDE target,
except that we want to add the Tycho m2e connector. In particular, there is (under
normal circumstances) no duplication of target dependencies between the PDE Target
as configured by Oomph and the local maven repository, unless the developer also uses
the same repository to perform external (that is, outside of Eclipse) maven builds of the
Papyrus source projects.
Maven Nature in Papyrus Source Projects of11 13
13. DIA Agency, Inc.
Initial Build
An earlier section detailed the initial build experience of the committer that implements
the Maven nature in all of the Papyrus source projects. Every other Papyrus developer
will not have that same experience, but will still have an initial build when either
•pulling the commit(s) that implement(s) the Mavenization of Papyrus, or
•cloning the Papyrus git repository to set up a new development workspace
The experiment focuses on the latter scenario, emulated by checking in all changes
described previously to implement the Maven nature on a new branch, deleting all
projects from the Eclipse workspace, and doing a
$ git clean -d -x -f
to clean all derived and otherwise untracked files from the git workspace. Subsequently
importing all of the “main” and “main test” projects back into the Eclipse workspace:
•Oomph import (without any p2 or targlet tasks, just the project import and
working-set tasks) takes about 50 seconds
•total time to import, including the Oomph import and initial build ('build
automatically' is on): 4 minutes 15 seconds. The build finishes with
•many projects having build errors. The vast majority of these are of the "project
cannot be built until its prerequisite xyz is built" kind, with a only a handful of
projects being the roots of these dependency graphs
•most of these trace to an erroneous bin/ library entry in the classpath of the
org.eclipse.papyrus.view.properties project. Fixing that kicked off a workspace
re-build that took 15 seconds to clear up almost all problems. Fixing the same
misconfiguration in a few other projects (notably Model Explorer related and
the properties customization plug-ins) fixes all remaining build problems. So,
implementing the Maven nature should also make these fixes to ensure a clean
first build experience for developers
Maven Nature in Papyrus Source Projects of12 13
14. DIA Agency, Inc.
•is comparable to the roughly 3 minutes and 30 seconds time to import the same
projects without the Maven nature (as currently)
Conclusions
This initial experiment seems to demonstrate clearly that converting the Papyrus source
projects to the Maven nature will not adversely affect the performance of Eclipse for the
Papyrus developer community. Moreover, it will have the benefit of unifying the
integration of EMF model generation and possibly other custom build steps in both the
developer and Hudson environments. Other benefits remain unclear (the process of
converting projects uncovers additional project configuration problems, but this may be
a one-time thing).
Most importantly, the majority of developer workflows are not perturbed:
•Oomph setup and incremental updates, for example to pull in a new nightly
Papyrus build under a minimalist source workspace
•incremental workspace builds; bundle manifest and other metadata changes;
source code editing
•testing with run-time workbench and JUnit launch configurations
That said, it is perhaps rather late in the Mars release cycle to introduce such a
significant change in the configuration of the Papyrus codebase to the developer
community. Doing this conversion in the first milestone post Mars for the next annual
release (on the master branch, not the Mars maintenance branch) may be advisable.
Maven Nature in Papyrus Source Projects of13 13