Automated workflow is a proven method for removing process variability. DevOps pipelines are the next step in the evolution of CI/CD/DevOps. This talk covers Jenkins pipelines, both with and without AWS integration, and explains how Jenkins can be used to create, execute and manage pipelines.

Considering a mono repo that can manage all your source code, binary and other assets? Join us at the Perforce Birds of a Feather Session for updates and discussions around the Helix Plugin for Jenkins (or ‘P4 plugin’).

This session will look at the latest DSL PipeLine support in the ‘P4 plugin’ for Jenkins and will include a live demo. We will show you how to map your Branches and Streams into a Jenkins Workspace, publish assets back into Helix, and more. You may even get a sneak preview at the latest ‘P4 plugin’ for Jenkins that allows you the freedom to query and run commands from within Jenkins directly against your Helix connection.

Many of us have already experimented with Docker - for example, by running one of the pre-built images from Docker Hub. It is possible that your team might have recognized the benefits that Docker provides in building microservices and the advantages the technology could bring to development, testing, integration and, ultimately, production. However, you must create a comprehensive build pipeline before deploying any containers into a live environment. Integrating containers into a CD pipeline is far from easy. Along with the benefits Docker brings, there are challenges both technically and process-related. This presentation attempts to outline the steps you need to take for a fully-automated Jenkins pipeline that continuously builds, tests and deploys microservices into a Docker Swarm cluster.

Pipeline is as powerful as a loaded gun, but with skill can be as delicate as a surgeon’s knife. This talk will give an overview of health and safety so that you can avoid shooting yourself in the head and walk the path to medical school. It will cover not only what not to do, but also why, and share some solutions so you are not left high and dry. Both James and Bobby have bullet wounds from “Champagning” pipeline to automate the test and release of several of the CloudBees products and can occasionally still be seen walking with a limp from shooting for the moon and hitting their feet.

While Docker has enabled an unprecedented velocity of software production, it is all too easy to spin out of control. A promotion-based model is required to control and track the flow of Docker images as much as it is required for a traditional software development lifecycle. We will demonstrate how to go from development to containerization to distribution utilizing binary management promotion in a framework implemented on Jenkins, using the Pipeline functionality.

The Pipeline feature has matured and is now included in Jenkins 2.0. During the time since its release, copious user feedback has been received about missing features and pain points. Come hear about some things we know should be worked on - or are already in progress - and bring your suggestions.

In this talk, we’ll show how to use Jenkins Pipeline together with Docker and Kubernetes to implement a complete end-to-end continuous delivery and continuous improvement system for microservices and monolithic applications using open source software. We’ll demonstrate how to easily create new microservices projects or import existing projects, have them automatically built, system and integration tested, staged and then deployed. Once deployed, we will also see how to manage and update applications using continuous delivery practices along with integrated ChatOps - all completely automated!

Pipeline is quickly establishing itself as the direction that Jenkins jobs are going, enabling the definition of a complete CD pipeline in a single job; Pipeline as Code via the “Jenkinsfile”; job durability across controller restarts; and more. I’ll be talking here about the next evolution for Pipeline: a simple, declarative model to define your Pipelines with no need to write scripts. This configuration syntax for Pipeline allows you to automatically configure all stages of your pipeline, the complete build environment, post-build actions, notifications and more. All while providing syntactic and semantic validation before the build actually gets going.

Response time is paramount for a CI/CD system. In this session, you will see how a few best practices in constructing pipelines can yield faster turnaround times and reduced resource use. We’ll also run through plugins and tools to analyze and visualize performance, including the Pipeline Stage View plugin. If time permits, we may briefly discuss some of the computer science theory behind different aspects of performance.

Our 600-person IT organization has committed to implementing continuous delivery practices enterprise-wide. This isn’t a single momentous event put in place overnight. Rather, it’s a strategic journey towards a common goal, and through which each application will take its own unique path. A seminal component of our CD journey is the Pipeline plugin and it has become our standard for CD pipeline orchestration. We will discuss a few of the diverse paths taken by the application teams at our company and show how the use of the Pipeline plugin has uniquely enabled continuous delivery for us in a way that no competing tool can.

Pipeline Multibranch projects come as a natural evolution of pipeline as code: define your CD pipeline in your source code repository and Jenkins will create isolated branch and pull requests jobs for it. This talk is about the integration of the Pipeline Multibranch plugin with Github and Bitbucket as branch sources.