T-Dose 2017 presentation, Sunday 19 November 2017. Adventures building a declarative pipeline script for a traditional (non-java/non-cloud) installable windows/Linux application. Video will hopefully be available later.
BSD/macOS Sed and GNU Sed both support additional features beyond POSIX Sed, such as extended regular expressions with -E/-r, but using only POSIX features ensures portability. GNU Sed defaults allow some non-POSIX behaviors, so --posix is recommended for strict POSIX compliance. The most portable Sed scripts use only basic regular expressions and features defined in the POSIX specification.
This document discusses previewing an application across different terminals and operating systems by using a common preview image. It also discusses load testing the application using Vegeta and monitoring CPU usage with Kubernetes horizontal pod autoscaling and the Google Cloud Monitoring API.
How to debug the pod which is hard to debug (디버그 하기 어려운 POD 디버그 하기)어형 이
This document discusses how to debug pods in Kubernetes that are difficult to debug. It begins by introducing the author and their background. It then covers common causes of pod problems like Kubernetes, node, and application issues. Specific techniques are presented for debugging pods that continuously restart or do not have sufficient tools available. These include adding debugging containers, using the container host's process information, and inserting debugging binaries. The challenges of read-only filesystems are also addressed. Overall, the document provides guidance on debugging pods in different difficult situations.
Gradle build tool that rocks with DSL JavaOne India 4th May 2012Rajmahendra Hegde
For the long time, we have used various build tools to package applications for new software releases or applying patches to existing applications etc. dependency management, version controlling, scalability, flexibility, single-multiple projects sup portability are some of the key areas that drove the selection of a build tool, This session focuses on Gradle as a successful build tool and looks into all the above areas and uses Groovy as a DSL. We will also look into how easy it is to use Gradle as compared to other open source build tools.
Photos: https://plus.google.com/u/0/photos/105295086916869617504/albums/5739617166453582993
Gradle build tool that rocks with DSL By Rajmahendra Hegde at JavaOne Hyderabad, India on 4th May 2012
Kurento is a media server for real-time video communication that needed to test its software under many scenarios and environments. Its CI infrastructure originally used many virtual machines, each configured differently for testing. This led to high costs, configuration difficulties, and slow development cycles. By using Docker, Kurento was able to define environments as reusable images and run tests in isolated containers on fewer virtual machines. This simplified infrastructure management and sped up development.
[Image Results] Java Build Tools: Part 2 - A Decision Maker's Guide Compariso...ZeroTurnaround
For you lazy coders out there, we offer the visual aids for the first 3 chapters of "Java Build Tools: Part 2 - A Decision Maker's Comparison of Maven, Gradle and Ant + Ivy". Here you can find the raw scores given to each tool based on 6 feature categories. **Download the full report to see Chapter 4, mapping the features against different user profiles**
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.
A talk about methods and tools to automate deployment of Plone sites. With a few steps an environment is prepared for a new Plone site on a test, staging or production layer. These steps take a couple of minutes, doing this manually took around one hour.
We use Puppet to prepare our hosts/clusters to get an environment to deploy to. Fabric is used to deploy Plone on this environment and to extend the webserver configuration under the hood. These complementary techniques provide a complete solution to get a working Plone site, including rollbacks.
Presentation by: Pawel Lewicki and Kim Chee Leong
The document discusses cloudstack_spec, a tool for testing CloudStack installations using Ruby and RSpec. It can validate the functionality and usability of zones, system VMs, VPCs, and other CloudStack resources. The tool makes it easy to define test cases and outputs results. Future goals include better integration with ServerSpec and test-kitchen. The tool aims to help validate CloudStack releases, check cloud health, and enable continuous integration testing of CloudStack configurations.
Using Docker to build and test in your laptop and JenkinsMicael Gallego
Docker is changing the way we create and deploy software. This presentation is a hands-on introduction to how to use docker to build and test software, in your laptop and in your Jenkins CI server
Introduction to Gradle in 45min as done at JBCN 2016. Covers the basics of Gradle for people familiar with other build tools. Includes building Java, Scala, Groovy & Kotlin projects
This document summarizes a Jenkins pipeline for testing and deploying Chef cookbooks. The pipeline is configured to automatically scan a GitHub organization for any repositories containing a Jenkinsfile. It will then create and manage multibranch pipeline jobs for each repository and branch. The pipelines leverage a shared Jenkins global library which contains pipeline logic to test and deploy the Chef cookbooks. This allows for standardized and reusable pipeline logic across all Chef cookbook repositories.
Настройка окружения для кросскомпиляции проектов на основе docker'acorehard_by
Как быстро и легко настраивать/обновлять окружения для кросскомпиляции проектов под различные платформы(на основе docker), как быстро переключаться между ними, как используя эти кирпичики организовать CI и тестирование(на основе GitLab и Docker).
This document discusses using Docker to create an automated dump analysis environment called dumpdocker. It describes how Docker can be used to containerize an application and its dependencies to easily recreate the runtime environment of a crashed server for debugging purposes. Dump analysis is currently difficult due to the need to setup complex debugging environments, but Docker simplifies this process. The dumpdocker project aims to leverage Docker to automatically analyze crash dumps and provide initial analysis reports.
This document summarizes Go project layout and practices for a Go web application project. It discusses folder structure, configuration management using environment variables and files, embedding assets, command line interfaces, testing practices including fixtures, and packages for common functions like errors, middleware, models and more.
Let's go HTTPS-only! - More Than Buying a CertificateSteffen Gebert
1) The document discusses various ways to secure a website or client's users, including getting an SSL certificate, setting up HTTPS, ensuring strong security practices with headers and configurations.
2) It describes letting's encrypt as a free and easy way to get SSL certificates with automated renewal, and quality testing services like QUALYS to check SSL configuration.
3) Additional security best practices discussed include HTTP headers like HSTS, CSP, and PKP to prevent vulnerabilities and protect against MITM attacks. Regular testing and integrating checks into development processes are recommended.
Here are the slides from Chris Barker and Deepak Giridharagopal's PuppetConf 2016 presentation called Docker, Mesos, Kubernetes and...Puppet? Don't Panic!. Watch the videos at https://www.youtube.com/playlist?list=PLV86BgbREluVjwwt-9UL8u2Uy8xnzpIqa
This document provides an introduction to Docker and containerization. It covers:
1. The differences between virtual machines and containers, and the container lifecycle.
2. An overview of the Docker ecosystem tools.
3. Instructions for installing and using the Docker Engine and Docker CLI to build, run, and manage containers.
4. A demonstration of using Docker Hub to build and store container images.
5. An introduction to Docker networking and volumes.
6. A demonstration of using Docker Compose to define and run multi-container applications.
7. Suggestions for further learning resources about Docker.
Here are the slides from Gareth Rushgrove's PuppetConf 2016 presentation called Running Puppet Software in Docker Containers. Watch the videos at https://www.youtube.com/playlist?list=PLV86BgbREluVjwwt-9UL8u2Uy8xnzpIqa
Процесс разработки не начинается и не заканчивается на написании кода программного продукта. Мы пишем документацию, придумываем, как это всё оттестировать, и заботимся о том, чтобы доступность приложения была на высоком уровне.
Мы все делаем привычные вещи привычным для нас способом. Порой выполняя много ручной и неэффективной работы. Но что, если есть другой, радикальный подход. Можно ли формализовать свою деятельность и переложить её в код? Какие практики и инструменты для этого использовать?
В докладе будет представлен личный опыт автора по автоматизации различных элементов разработки ПО.
Uma introdução ao uso de Sockets usando Golang, apresenta as formas de criar seus próprios Sockets e qual cenário poderia está aplicando Sockets.
Aborda como a arquitetura Rest funciona e qual seria o cenário para sua aplicabilidade comparada com Socket.
A apresentação é uma tentativa de apresentar os recursos e poder do Golang quando o assunto é REST e Socket.
This document discusses Jenkins 2.0 and its new "pipeline as code" feature. Pipeline as code allows automation of continuous delivery pipelines by describing the stages in a textual pipeline script stored in version control. This enables pipelines to be more flexible, reusable and survive Jenkins restarts. The document provides examples of pipeline scripts for common tasks like building, testing, archiving artifacts and running in parallel. It also discusses how pipelines can be made more reusable by defining shared library methods.
This document discusses using Docker to run Geb tests with real browsers. It provides instructions on installing Docker images, configuring Geb to use a Dockerized browser via RemoteWebDriver, and running Gradle tests within a Docker container to test a web application using the Dockerized browser. Viewing the browser session within Docker is also demonstrated using VNC. Migrating CI/testing to use Dockerized browsers is mentioned as a way to ensure tests use real browsers.
Quand Swift a été annoncé en 2014, personne n'aurait imaginé qu'un jour on aurait pu se servir de ce langage pour réaliser une application... côté serveur !
Ce talk a pour but de démontrer comment et dans quelle mesure nous pouvons écrire et deployer une application Web en utilisant Swift 3.0, en utilisant les plates-formes proposées par le marché. Nous découvrirons également les forces et faiblesses actuelles, les frameworks et les outils à utiliser aujourd'hui, ainsi que les extensions pour connecter notre application Swift côté serveur à des services tierces, tels que les systèmes de gestion de base de données.
Par Simone Civetta, Développeur iOS chez Xebia.
1. The document discusses setting up a continuous integration workflow for Drupal projects using tools like Jenkins, Drush, and Vagrant.
2. It identifies problems with current development practices like code being merged without testing and different environments between dev and production.
3. The workflow proposed uses scripts to automate rebuilding development and production environments from source control, running tests, and deploying code.
The Fairy Tale of the One Command Build ScriptDocker, Inc.
Do you have this build script that with a single command builds your software? Does this still apply on a brand new PC?
This presentation takes you on the journey to construct complex build environments using Docker. The journey follows our lessons learned and experiences going from hand crafted to Dockerized build environments. We will look at different patterns to build modular containers, ways to chain containers and the specialties of Windows containers.
Jenkins Days - Workshop - Let's Build a Pipeline - Los AngelesAndy Pemberton
This document provides an overview of installing and using Jenkins Enterprise and Jenkins Pipelines. The key points are:
1. It demonstrates how to install Jenkins Enterprise using Docker, unlock Jenkins, and create an admin user.
2. It introduces Jenkins Pipelines, including the benefits of being durable, distributable, pausable, and visualized. The document shows how to create a basic pipeline using common steps like stage, node, sh, etc.
3. It provides examples of more advanced pipeline features like checkout from source control, stashing files, input approval, checkpoints, parallel execution, and tool installation.
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.
A talk about methods and tools to automate deployment of Plone sites. With a few steps an environment is prepared for a new Plone site on a test, staging or production layer. These steps take a couple of minutes, doing this manually took around one hour.
We use Puppet to prepare our hosts/clusters to get an environment to deploy to. Fabric is used to deploy Plone on this environment and to extend the webserver configuration under the hood. These complementary techniques provide a complete solution to get a working Plone site, including rollbacks.
Presentation by: Pawel Lewicki and Kim Chee Leong
The document discusses cloudstack_spec, a tool for testing CloudStack installations using Ruby and RSpec. It can validate the functionality and usability of zones, system VMs, VPCs, and other CloudStack resources. The tool makes it easy to define test cases and outputs results. Future goals include better integration with ServerSpec and test-kitchen. The tool aims to help validate CloudStack releases, check cloud health, and enable continuous integration testing of CloudStack configurations.
Using Docker to build and test in your laptop and JenkinsMicael Gallego
Docker is changing the way we create and deploy software. This presentation is a hands-on introduction to how to use docker to build and test software, in your laptop and in your Jenkins CI server
Introduction to Gradle in 45min as done at JBCN 2016. Covers the basics of Gradle for people familiar with other build tools. Includes building Java, Scala, Groovy & Kotlin projects
This document summarizes a Jenkins pipeline for testing and deploying Chef cookbooks. The pipeline is configured to automatically scan a GitHub organization for any repositories containing a Jenkinsfile. It will then create and manage multibranch pipeline jobs for each repository and branch. The pipelines leverage a shared Jenkins global library which contains pipeline logic to test and deploy the Chef cookbooks. This allows for standardized and reusable pipeline logic across all Chef cookbook repositories.
Настройка окружения для кросскомпиляции проектов на основе docker'acorehard_by
Как быстро и легко настраивать/обновлять окружения для кросскомпиляции проектов под различные платформы(на основе docker), как быстро переключаться между ними, как используя эти кирпичики организовать CI и тестирование(на основе GitLab и Docker).
This document discusses using Docker to create an automated dump analysis environment called dumpdocker. It describes how Docker can be used to containerize an application and its dependencies to easily recreate the runtime environment of a crashed server for debugging purposes. Dump analysis is currently difficult due to the need to setup complex debugging environments, but Docker simplifies this process. The dumpdocker project aims to leverage Docker to automatically analyze crash dumps and provide initial analysis reports.
This document summarizes Go project layout and practices for a Go web application project. It discusses folder structure, configuration management using environment variables and files, embedding assets, command line interfaces, testing practices including fixtures, and packages for common functions like errors, middleware, models and more.
Let's go HTTPS-only! - More Than Buying a CertificateSteffen Gebert
1) The document discusses various ways to secure a website or client's users, including getting an SSL certificate, setting up HTTPS, ensuring strong security practices with headers and configurations.
2) It describes letting's encrypt as a free and easy way to get SSL certificates with automated renewal, and quality testing services like QUALYS to check SSL configuration.
3) Additional security best practices discussed include HTTP headers like HSTS, CSP, and PKP to prevent vulnerabilities and protect against MITM attacks. Regular testing and integrating checks into development processes are recommended.
Here are the slides from Chris Barker and Deepak Giridharagopal's PuppetConf 2016 presentation called Docker, Mesos, Kubernetes and...Puppet? Don't Panic!. Watch the videos at https://www.youtube.com/playlist?list=PLV86BgbREluVjwwt-9UL8u2Uy8xnzpIqa
This document provides an introduction to Docker and containerization. It covers:
1. The differences between virtual machines and containers, and the container lifecycle.
2. An overview of the Docker ecosystem tools.
3. Instructions for installing and using the Docker Engine and Docker CLI to build, run, and manage containers.
4. A demonstration of using Docker Hub to build and store container images.
5. An introduction to Docker networking and volumes.
6. A demonstration of using Docker Compose to define and run multi-container applications.
7. Suggestions for further learning resources about Docker.
Here are the slides from Gareth Rushgrove's PuppetConf 2016 presentation called Running Puppet Software in Docker Containers. Watch the videos at https://www.youtube.com/playlist?list=PLV86BgbREluVjwwt-9UL8u2Uy8xnzpIqa
Процесс разработки не начинается и не заканчивается на написании кода программного продукта. Мы пишем документацию, придумываем, как это всё оттестировать, и заботимся о том, чтобы доступность приложения была на высоком уровне.
Мы все делаем привычные вещи привычным для нас способом. Порой выполняя много ручной и неэффективной работы. Но что, если есть другой, радикальный подход. Можно ли формализовать свою деятельность и переложить её в код? Какие практики и инструменты для этого использовать?
В докладе будет представлен личный опыт автора по автоматизации различных элементов разработки ПО.
Uma introdução ao uso de Sockets usando Golang, apresenta as formas de criar seus próprios Sockets e qual cenário poderia está aplicando Sockets.
Aborda como a arquitetura Rest funciona e qual seria o cenário para sua aplicabilidade comparada com Socket.
A apresentação é uma tentativa de apresentar os recursos e poder do Golang quando o assunto é REST e Socket.
This document discusses Jenkins 2.0 and its new "pipeline as code" feature. Pipeline as code allows automation of continuous delivery pipelines by describing the stages in a textual pipeline script stored in version control. This enables pipelines to be more flexible, reusable and survive Jenkins restarts. The document provides examples of pipeline scripts for common tasks like building, testing, archiving artifacts and running in parallel. It also discusses how pipelines can be made more reusable by defining shared library methods.
This document discusses using Docker to run Geb tests with real browsers. It provides instructions on installing Docker images, configuring Geb to use a Dockerized browser via RemoteWebDriver, and running Gradle tests within a Docker container to test a web application using the Dockerized browser. Viewing the browser session within Docker is also demonstrated using VNC. Migrating CI/testing to use Dockerized browsers is mentioned as a way to ensure tests use real browsers.
Quand Swift a été annoncé en 2014, personne n'aurait imaginé qu'un jour on aurait pu se servir de ce langage pour réaliser une application... côté serveur !
Ce talk a pour but de démontrer comment et dans quelle mesure nous pouvons écrire et deployer une application Web en utilisant Swift 3.0, en utilisant les plates-formes proposées par le marché. Nous découvrirons également les forces et faiblesses actuelles, les frameworks et les outils à utiliser aujourd'hui, ainsi que les extensions pour connecter notre application Swift côté serveur à des services tierces, tels que les systèmes de gestion de base de données.
Par Simone Civetta, Développeur iOS chez Xebia.
1. The document discusses setting up a continuous integration workflow for Drupal projects using tools like Jenkins, Drush, and Vagrant.
2. It identifies problems with current development practices like code being merged without testing and different environments between dev and production.
3. The workflow proposed uses scripts to automate rebuilding development and production environments from source control, running tests, and deploying code.
The Fairy Tale of the One Command Build ScriptDocker, Inc.
Do you have this build script that with a single command builds your software? Does this still apply on a brand new PC?
This presentation takes you on the journey to construct complex build environments using Docker. The journey follows our lessons learned and experiences going from hand crafted to Dockerized build environments. We will look at different patterns to build modular containers, ways to chain containers and the specialties of Windows containers.
Jenkins Days - Workshop - Let's Build a Pipeline - Los AngelesAndy Pemberton
This document provides an overview of installing and using Jenkins Enterprise and Jenkins Pipelines. The key points are:
1. It demonstrates how to install Jenkins Enterprise using Docker, unlock Jenkins, and create an admin user.
2. It introduces Jenkins Pipelines, including the benefits of being durable, distributable, pausable, and visualized. The document shows how to create a basic pipeline using common steps like stage, node, sh, etc.
3. It provides examples of more advanced pipeline features like checkout from source control, stashing files, input approval, checkpoints, parallel execution, and tool installation.
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.
This document discusses Jenkins Pipelines, which allow defining continuous integration and delivery (CI/CD) pipelines as code. Key points:
- Pipelines are defined using a Groovy domain-specific language (DSL) for stages, steps, and environment configuration.
- This provides configuration as code that is version controlled and reusable across projects.
- Jenkins plugins support running builds and tests in parallel across Docker containers.
- Notifications can be sent to services like Slack on failure.
- The Blue Ocean UI in Jenkins focuses on visualization of pipeline runs.
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.
This talk will focus on a brief overview of Kubernetes, with a brief demo, and then more of an in-depth focus on issues we've faced moving PHP projects into Docker and Kubernetes like signal propagation, init systems, and logging.
Talk from Cape Town PHP meetup on Feb. 7, 2016:
https://www.meetup.com/Cape-Town-PHP-Group/events/237226310/
Code: https://github.com/zoidbergwill/kubernetes-php-examples
Slides as markdown: http://www.zoidbergwill.com/presentations/2017/kubernetes-php/index.md
Continuous Integration With Jenkins Docker SQL ServerChris Adkin
This document discusses using containers and Jenkins for continuous integration and deployment pipelines. It provides an overview of build pipelines, how they can be implemented as code in Jenkins using scripts or declarative syntax. Demonstrations are shown for simple webhooks, multi-branch pipelines, using build slaves in containers, image layering, and fully containerizing a build environment. Tips are provided on constructing Dockerfiles and using timeouts.
Scaling Docker Containers using Kubernetes and Azure Container ServiceBen Hall
This document discusses scaling Docker containers using Kubernetes and Azure Container Service. It begins with an introduction to containers and Docker, including how containers improve dependency and configuration management. It then demonstrates building and deploying containerized applications using Docker and discusses how to optimize Docker images. Finally, it introduces Kubernetes as a tool for orchestrating containers at scale and provides an example of deploying a containerized application on Kubernetes in Azure.
This document discusses DevOps practices for big data applications. It describes using Docker containers to automate system testing of new application versions before upgrading clusters. Tests are run inside Docker containers to simulate the target environment. The document also details using SBT plugins to package applications into RPM files for deployment, including mapping application artifacts and run scripts. This allows deploying updated applications with a single command and managing permissions and immutability.
An Ensemble Core with Docker - Solving a Real Pain in the PaaS Erik Osterman
Docker by itself is only an engine powering containers. You need a containership to run it in production. CoreOS is a purpose-built containership that powers Docker conatiners, however, without higher-level orchestration managing hundreds or thousands of containers is not manageable. Ensemble is the answer for running containers at scale on top of CoreOS.
This document discusses why Gradle is a useful build tool. It provides automation, repeatability, and efficiency for software builds. Gradle models builds as a directed acyclic graph (DAG) of tasks, allowing any build process to be represented. It handles common conventions but also allows custom tasks when needed. Gradle aims to fully automate builds, make them repeatable across environments, and only re-execute tasks when necessary to improve efficiency.
Integration testing is hard, and often teams are tempted to do it in production. Testcontainers allows writing meaningful integration tests spawning Docker containers for databases, queue systems, kv-store, other services. The talk, a blend of slides and live code, will show how we are able to deploy without fear while integrating with a dozen of different datastores. Don't mock your database with fake data anymore, work with real data
Continuous delivery model sounds great to almost everyone, but is not that easy to implement when real life comes into play. On the one hand, AEM architecture feels like a good fit for this strategy (everything is content after all, right?), but on the other hand we all know how challenging even individual deployment can get. Content management system itself is often just a fraction of your concern - you have to build it first, test it, stitch all the elements up and then figure out how to deliver your code in a repeatable and controlled way to production.
Throughout the last couple of years we’ve been trying really hard at Cognifide to make continuous release and delivery possible for AEM. It was a bumpy and twisty road, but we finally made it. During my talk I’d like to show you how we build AEM platforms these days using open source tools, including:
- Terraform to define and manage infrastructure as code
- Chef to describe deployments in an approachable way, which enforces consistency & repeatability across environments
- Consul that helps us discover services around and mitigate failures
- Jenkins & GoCD to orchestrate delivery model
introduction-infra-as-a-code using terraformniyof97
This document provides a summary of the challenges faced when manually configuring and deploying infrastructure and applications without using infrastructure as code tools. It describes issues that arose when installing dependencies for a Ruby on Rails application locally and on Amazon EC2 instances. It then introduces infrastructure as code using Docker to containerize applications and define environments as code. Docker images for a Sinatra backend and Rails frontend are built and linked together using Docker Compose. The document advocates for using infrastructure as code tools like Docker and Terraform to avoid manual configuration issues and facilitate consistent deployments across environments.
Road to sbt 1.0: Paved with server (2015 Amsterdam)Eugene Yokota
The document provides a history of build tools and a roadmap for sbt 1.0. It discusses modularizing sbt into components to improve stability and introduce an sbt server for centralized build execution. The sbt server design allows clients to connect as events, handle input, and run background jobs. Existing plugins can try the sbt server APIs without breaking functionality. The roadmap includes improving interaction, meta-projects, and killing bad states to complete the sbt server.
Node.js at Joyent: Engineering for Productionjclulow
Joyent is one of the largest deployers of Node.js in production systems. In order to successfully deploy large-scale, distributed systems, we must understand the systems we build! For us, that means having first-class tools for debugging our software, and understanding and improving its performance.
Come on a whirlwind tour of the tools and techniques we use at Joyent as we build out large-scale distributed software with Node.js: from mdb for Post-Mortem Debugging, to Flame Graphs for performance analysis; from DTrace for dynamic, production-safe instrumentation and tracing, to JSON-formatted logging with Bunyan.
Leveraging AI for Software Developer Productivity.pptxpetabridge
Supercharge your software development productivity with our latest webinar! Discover the powerful capabilities of AI tools like GitHub Copilot and ChatGPT 4.X. We'll show you how these tools can automate tedious tasks, generate complete syntax, and enhance code documentation and debugging.
In this talk, you'll learn how to:
- Efficiently create GitHub Actions scripts
- Convert shell scripts
- Develop Roslyn Analyzers
- Visualize code with Mermaid diagrams
And these are just a few examples from a vast universe of possibilities!
Packed with practical examples and demos, this presentation offers invaluable insights into optimizing your development process. Don't miss the opportunity to improve your coding efficiency and productivity with AI-driven solutions.
Real-World Docker: 10 Things We've Learned RightScale
Docker has taken the world of software by storm, offering the promise of a portable way to build and ship software - including software running in the cloud. The RightScale development team has been diving into Docker for several projects, and we'll share our lessons learned on using Docker for our cloud-based applications.
Making your app soar without a container manifestLibbySchulze
This document discusses containerization and continuous integration/continuous delivery (CI/CD) tools. It introduces buildpacks as a way to containerize applications without needing a Dockerfile. Buildpacks inspect source code and create a plan to build and run the app by creating layers. Tekton is introduced as an open source project that aims to improve software delivery through standard CI/CD components based on Kubernetes. It contains reusable tasks, pipelines to assemble tasks, triggers for automating builds, and a catalog. A demo and Q&A session are included on the agenda.
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
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Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
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Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
9. Scripted Pipeline example
node('test') {
// compute complete workspace path, from current node to the allocated disk
exws(extWorkspace) {
try {
// run tests in the same workspace that the project was built
sh 'mvn test'
} catch (e) {
// if any exception occurs, mark the build as failed
currentBuild.result = 'FAILURE'
throw e
} finally {
// perform workspace cleanup only if the build have passed
// if the build has failed, the workspace will be kept
cleanWs cleanWhenFailure: false
}
}
}
10. Declarative Pipeline example
pipeline {
agent any
stages {
stage('Example') {
steps {
echo 'Hello World'
}
}
}
post {
always {
echo 'I will always say Hello again!'
}
}
}
13. Many Simple Examples
✘ Lots of simple small fragments of declarative pipeline @ the web
○ Usually java/maven based
○ And very small fragments
✘ but..
✘ Pipelines get big and complex very quickly
✘ Does Declarative Pipeline scale?
✘ Not all plugins support a pipeline scripting interface..
17. ✘ Mixed teams (60 people)
○ SW developers
○ Mechanical / Math engineers
○ Matlab specialists
✘ Each team has one (or more)
tooling/cm dev´s
✘ Teams prior experience with build
servers is (was) Buildbot or just cron
jobs
✘ Team loves Python … not Java
CM team = One Man Army
✘ Simulation software
○ Requiring dedicated hardware
○ Simulations on raw iron
○ Dedicated test tooling
✘ Big:
○ SCM archives
○ Test sets
○ Test result sets
✘ Build and Test takes hours
18. ✘ A Dev worked on Scripted pipeline for
the first team moving to Jenkins
○ Kept bumping our heads
○ (Jenkins) software felt too
unstable for pipeline usage.
✘ Decided to go for graph mode
○ Got builds running the way we
wanted
○ Shorter learning curve for team
○ Use templates for re-usable
jobs
We did try Scripted Pipeline
… 2 years ago
✘ Number of jobs grew quickly
○ Lots of test jobs added
○ Need for running all tests on all
branches
✘ So the pipelines got Big:
○ Next slide...
20. Need for better solutions for growing pipelines
✘ Test & release team complains having difficulty getting overview
✘ Products still have monolithic long serial builds that take hours
○ Need for splitting up in smaller steps possibly on
dedicated slaves/executors
○ Having sub-products available as artefacts
✘ Scaling up test efforts requires many more automated test steps
✘ For me maintaining templates is getting cumbersome
○ 'Old' and 'new' templates crop up for enabling release branches
to be re-build next to current trunks
○ Changes to build templates not easily visible to teams
21. Eyeing Declarative Pipeline
✘ Spring 2017 Cloudbees announced 1.0 Pipeline
○ Nice overview of pipeline using Blue Ocean interface
○ Cloudbees is pushing this as the main build declaration
interface
✘ Simpler syntax seems to appeal to the dev teams
○ Storing the jenkinsFile in code repository makes jenkins
definition part of the code (branch)
✘ Phase 1 Proof Of Concept rebuilding the build for one team in
Pipeline
24. (Jenkins) Software used
✘ Jenkins Master 2.73 (Community Version)
✘ Pipeline Plugin 2.5
✘ Pipeline Declarative 1.2 (1.3.x just came out this week).
✘ Blue Ocean 2.3
26. Use case: Shorten build environment setup time
✘ The current (old) build system clones all 4 repo's one by one.
○ Setting up build env of 15 Gb took 30 to 40 minutes.
(250.000 files)
○ In my Jenkins 1.6 implementation I could save some time
○ Trying to do incremental builds when possible but clean
Builds are needed often.
✘ Using HG/Mercurial tricks and parallelization to the max
○ Turn on caching and sharing.
○ Start all clones parallel to each other (since HG is a single
threaded application.
✘ Brought full checkout time down do 5 mins.
27. Starting The Pipeline
#!/usr/bin/env groovy
pipeline {
// Agent definition for whole pipe. General vs14 Windows build slave.
agent {
label "Windows && x64 && ${GENERATOR}"
}
// General config for build, timestamps and console coloring.
options {
timestamps()
buildDiscarder(logRotator(daysToKeepStr:'90', artifactDaysToKeepStr:'20'))
}
// Poll SCM every 5 minutes every work day.
triggers {
pollSCM('H/5 * * * 1-5')
}
properties( buildDiscarder(logRotator(artifactDaysToKeepStr: '5', artifactNumToKeepStr: '', daysToKeepStr: '15', numToKeepStr: '')) ])
28. Environment Build Slave (2)
Pipeline {
// Set environment for all steps.
// Spawn all tools here also
environment {
GROOVY_HOME = tool name: 'Groovy-3.3.0', type: 'hudson.plugins.groovy.GroovyInstallation'
CMAKE_HOME = tool name: 'Cmake3.7', type: 'com.cloudbees.jenkins.plugins.customtools.CustomTool'
PYTHON_HOME = tool name: 'Python4.1', type: 'com.cloudbees.jenkins.plugins.customtools.CustomTool'
MATLAB_VERSION = "${MATLAB_R2013B_HOME}"
BuildArch = 'win64'
} Manual Says:
tools {
Maven 'apache-maven-3.0.1'
}
29. First Step Env Prep
Pipeline {
stages {
stage('Prepare Env') {
steps {
echo 'determine if last build was successful'
script {
if(!hudson.model.Result.SUCCESS.equals(
currentBuild.rawBuild.getPreviousBuild()?.getResult())) {
env.LAST_BUILD_FAILED = "true"
bat "echo previous build FAILED"
}
else {
env.LAST_BUILD_FAILED = "false"
bat "echo previous build SUCCESS"
}
}
echo 'Setting up build dirs..'
bat 'mkdir vislibrary_build n exit 0'
30. Parallel checkoutPipeline {
stages {
// Check out stage.. parallel checkout of all repo's.
stage('Check Out') {
parallel {
stage ("CloneCsRepo") {
steps {
echo 'Now let us check out C#Repo'
// Use sleep time preventing different HG threads grab same log file name
sleep 9
checkout changelog: true, poll: true, scm: [$class: 'MercurialSCM',
clean: true, credentialsId: '', installation: 'HG Multibranch',
source: "http://hg.wdm.local/hg/CsRepo/", subdir: 'CsRepo']
}
}
stage ("CloneCRepo") {
steps {
echo 'Now let us check out C Repo'
sleep 15
checkout changelog: true, poll: true,
Failed to parse ...Testing_Pipeline2_TMFC/builds/174/changelog2.xml: '<?xml version="1.0" encoding="UTF-8"?>
<changesets>
JENKINS-43176
32. Build Environment is setup
In the build pipeline the following is done:
✘ Tools installed
✘ Archives checked out
✘ Environment setup
33. Need some simple logic?
Pipeline {
stages {
stage ('name') {
step {
script {
switch(GENERATOR) {
case "vs9sp1":
MATLAB_VERSION = "${MATLAB_R2010BSP2_HOME}"
break;
case "vs11":
MATLAB_VERSION = "${MATLAB_R2010BSP2_HOME}"
break;
case "vs14":
MATLAB_VERSION = "${MATLAB_R2013B_HOME}"
break;
}
bat "Echo MATLAB_VERSION = ${MATLAB_VERSION}"
}
34. Use case2: Don't build C-repo if not needed
✘ The current (old) build system (incremental) builds all even if only
one repo is changed.
○ A common case is only changes in C# repo
○ Cannot rely on correct source change detection in building C
repo
○ Not executing a not needed C Repo build step saves 20 minutes
37. Detect changes in repo's
Pipeline {
stages {
stage('Cmake Gen') {
when {
anyOf {
// Is CRepo already build?
environment name: 'CRepo_IS_BUILD', value: 'false' //no..
// Did the previous build fail?
environment name: 'LAST_BUILD_FAILED', value: 'true' //yes..
// CRepo changes
environment name: 'CRepo_IS_CHANGED', value: 'true' //yes..
}
}
steps {
echo 'Do incremental clean for C Repo'
38. Use case3: Have All tests in one job run
✘ Quite a number of tests require dedicated hardware servers
○ Doing traditional jenkins, these are all separate jobs
○ Number of tests on different slaves will increase significantly
○ All tests will have to run on all dev/stage branches
○ Number of jobs will explode doing this traditional Jenkins way
○ Developers testers should get precise feedback for each branch
44. General Problems Annoyances
Using pipeline / Blue Ocean
✘ Slowness / crash browser on large log files
✘ Snippet generator generates Declarative pipeline and/or scripted
○ Two lists of 'steps' in generator
○ Some generated scripts do not work anymore
✘ Completeness of documentation
48. Conclusion
✘ Declarative pipeline is a much needed extension to Jenkins
✘ Functionality is stable
✘ Documentation spotty
✘ Blue Ocean interface is a great improvement
○ General slowness is worrying
✘ Cloudbees is continuing development
○ Approx every 2 to 3 months new functionality is released
✘ We should give CloudBees credit for releasing all this to the
community
50. Credits
Special thanks to all the people who made and released
these awesome resources for free:
✘ Presentation template by SlidesCarnival
✘ Photographs by Unsplash