Artūrs Liepiņš from Accenture Latvia will talk about the cloud-hosted Continuous Integration service Travis CI – its strengths and weaknesses and how it compares to more traditional tools like Jenkins. The presentation will showcase automated building, testing and deployment to various services, including a live sample application going through these phases. Also, some promising alternative solutions will be introduced.
Artūrs Liepiņš is a young DevOps engineer exploring the latest and greatest in automation, virtualization and cloud technologies.
Our tech process, how we make apps using React Native on Gitlab with Gitlab CI (Continuous Integration) and CD (Continuous Delivery)
Reveal JS source on GitHub: https://github.com/Lingvokot/gitlab-and-lingvokot
This is introduction to Git, distributed version control system. You will learn about git history, reasons behind its invention, design considerations, internal structure and see how to use git for your projects.
DockerCon EU 2015: Continuous Integration with Jenkins, Docker and ComposeDocker, Inc.
Presented by Sandro Cirulli, Platform Tech Lead, Oxford University Press
Oxford University Press (OUP) recently started the Oxford Global Languages (OGL) initiative (http://www.oxforddictionaries.com/words/oxfordlanguages) which aims at providing language resources for digitally under represented languages. In August 2015 OUP launched two African languages websites for Zulu (http://zu.oxforddictionaries.com) and Northern Sotho (http://nso.oxforddictionaries.com). The backend of these websites is based on an API retrieving data in RDF from a triple store and delivering data to the frontend in JSON-LD.
The entire micro-service infrastructure for development, staging, and production runs on Docker containers in Amazon EC2 instances. In particular, we use Jenkins to rebuild the Docker image for the API based on a Python Flask application and Docker Compose to orchestrate the containers. A typical CI workflow is as follows:
- a developer commits code to the codebase
- Jenkins triggers a job to run unit tests
- if the unit tests are successful, the Docker image of the Python Flask application is rebuilt and the container is restarted via Docker Compose
- if the unit tests or the Docker build failed, the monitor view shows the Jenkins jobs in red and displays the name of the possible culprit who broke the build.
A demo of this CI workflow is available at http://www.sandrocirulli.net/continuous-integration-with-jenkins-docker-and-compose
Artūrs Liepiņš from Accenture Latvia will talk about the cloud-hosted Continuous Integration service Travis CI – its strengths and weaknesses and how it compares to more traditional tools like Jenkins. The presentation will showcase automated building, testing and deployment to various services, including a live sample application going through these phases. Also, some promising alternative solutions will be introduced.
Artūrs Liepiņš is a young DevOps engineer exploring the latest and greatest in automation, virtualization and cloud technologies.
Our tech process, how we make apps using React Native on Gitlab with Gitlab CI (Continuous Integration) and CD (Continuous Delivery)
Reveal JS source on GitHub: https://github.com/Lingvokot/gitlab-and-lingvokot
This is introduction to Git, distributed version control system. You will learn about git history, reasons behind its invention, design considerations, internal structure and see how to use git for your projects.
DockerCon EU 2015: Continuous Integration with Jenkins, Docker and ComposeDocker, Inc.
Presented by Sandro Cirulli, Platform Tech Lead, Oxford University Press
Oxford University Press (OUP) recently started the Oxford Global Languages (OGL) initiative (http://www.oxforddictionaries.com/words/oxfordlanguages) which aims at providing language resources for digitally under represented languages. In August 2015 OUP launched two African languages websites for Zulu (http://zu.oxforddictionaries.com) and Northern Sotho (http://nso.oxforddictionaries.com). The backend of these websites is based on an API retrieving data in RDF from a triple store and delivering data to the frontend in JSON-LD.
The entire micro-service infrastructure for development, staging, and production runs on Docker containers in Amazon EC2 instances. In particular, we use Jenkins to rebuild the Docker image for the API based on a Python Flask application and Docker Compose to orchestrate the containers. A typical CI workflow is as follows:
- a developer commits code to the codebase
- Jenkins triggers a job to run unit tests
- if the unit tests are successful, the Docker image of the Python Flask application is rebuilt and the container is restarted via Docker Compose
- if the unit tests or the Docker build failed, the monitor view shows the Jenkins jobs in red and displays the name of the possible culprit who broke the build.
A demo of this CI workflow is available at http://www.sandrocirulli.net/continuous-integration-with-jenkins-docker-and-compose
Basic Idea
Develop a build system that leverages Docker for implementing continuous integration/deployment(CI/CD) pipeline. A git commit must kick off packaging a Docker Image and provisioning it in a VM.
A git based commit should be used for starting of a build for a docker image which would then be run and provisioned in a Virtual Machine. After every commit a series of test cases is then run on the code to ensure the correctness of the code. After all the test-cases pass, the image gets updated on docker-hub registry, and a VM gets provisioned which can then run the software directly (after pulling the image from the docker-hub).
This entire process ensures that the most recent and updated version of the code is available to the person who is using the software and this speeds up the overall process by at least 2-3 folds.
Make It Cooler: Using Decentralized Version Controlindiver
A commonly used version control system in the ColdFusion community is Subversion -- a centralized system that relies on being connected to a central server. The next generation version control systems are “decentralized”, in that version control tasks do not rely on a central server.
Decentralized version control systems are more efficient and offer a more practical way of software development.
In this session, Indy takes you through the considerations in moving from Subversion to Git, a decentralized version control system. You also get to understand the pros and cons of each and hear of the practical experience of migrating projects to decentralized version control.
Version control is often used in conjunction with a testing framework and continuous integration. To complete the picture, Indy walks you through how to integrate Git with a testing framework, MXUnit, and a continuous integration server, Hudson.
Introducing "Tugbot" for Docker ContainersNeil Gehani
Just like a tugboat brings containers safely to port, “Tugbot” will do the same for running quality Docker containers in production . Tugbot makes Continuous Testing REAL. It allows developers to write tests once - run anywhere. Any kind of test (including performance, chaos, and security) can be run with 5 lines in a “Test Container” Dockerfile. Leveraging the Docker LABEL and Docker unified API, we will show how this simplifies testing for services running in docker containers while standardizing results collected for analytics to continuously improve the quality of software.
Tugbot - Testing Framework for Docker ContainersNeil Gehani
Social Testing for Docker ecosystem. Tugbot provides simplified and standardized testing for apps in container clusters. It enables teams to share test containers.
Voxxed Luxembourd 2016 Jenkins 2.0 et Pipeline as codeDamien Duportal
Né Hudson en 2004 (cf. http://kohsuke.org/2011/01/11/bye-bye-hudson-hello-jenkins/), le projet Jenkins vient de franchir un cap majeur : la version Jenkins 2.0 (cf. https://groups.google.com/forum/#!msg/jenkinsci-dev/vbXK7JJekFw/BlEvO0UxBgAJ) !
Cette étape majeure réussit à concilier la gestion de l'ancien, et la transition vers des pratiques de déploiement continu plus modernes.
Parmi les nouveautés, la gestion des Pipeline-as-a-Code et l'intégration de Docker sont deux éléments dont vous allez pouvoir tirer de nombreux bénéfices.
Si vous êtes intéressés pour un exemple concret de migration depuis un Jenkins 1.x vers un flux basé sur Docker et Pipeline avec Jenkins 2.0, cette session est faite pour vous !
L'exemple suivi sera un projet Java-Maven "type", stocké sur un dépôt Git, bénéficiant de tests et d'analyses, en "multi-job enchaînés", que nous ferons glisser dans un "Jenkins Pipeline", configuré via un fichier du dépôt Git, en mode "livraison continue" via Docker.
How the use of Groovy language can help you manage your Jenkins instance and extend its functionality. Presentation given at Jenkins User Conference Israel 2015
Codifying the Build and Release Process with a Jenkins Pipeline Shared LibraryAlvin Huang
These are my slides from my Jenkins World 2017 talk, detailing a war story of migrating 150-200 Freestyle Jobs for build and release, into ~10 line Jenkinsfiles that heavily leverages Jenkins Pipeline Shared Libraries (https://jenkins.io/doc/book/pipeline/shared-libraries/)
Drupal & Continous Integration - SF State Study CaseEmanuele Quinto
HigherEd Drupal Summit @ BADCamp 2011 (http://2011.badcamp.net/higher-education-drupal-summit)
Cal State San Francisco will talk about how they implemented their drupal development cycle process based on continuous integration and QuickBuild.
Openstack Third-Party CI and the review of a few Openstack Infrastructure pro...Evgeny Antyshev
Presentation for QA:Conference held in Moscow, Russia on April 23rd.
Author: Evgeny Antyshev, Virtuozzo
These slide discover some Openstack Infrastructure tools to ease the task of creating generic CI systems. As an illustration, I setup "model" CI stand to test Libvirt project. Important ideas originated from Openstack testing also mentioned: pre-review integration testing, testing infrastructure in a cloud, project gating, etc.
Basic Idea
Develop a build system that leverages Docker for implementing continuous integration/deployment(CI/CD) pipeline. A git commit must kick off packaging a Docker Image and provisioning it in a VM.
A git based commit should be used for starting of a build for a docker image which would then be run and provisioned in a Virtual Machine. After every commit a series of test cases is then run on the code to ensure the correctness of the code. After all the test-cases pass, the image gets updated on docker-hub registry, and a VM gets provisioned which can then run the software directly (after pulling the image from the docker-hub).
This entire process ensures that the most recent and updated version of the code is available to the person who is using the software and this speeds up the overall process by at least 2-3 folds.
Make It Cooler: Using Decentralized Version Controlindiver
A commonly used version control system in the ColdFusion community is Subversion -- a centralized system that relies on being connected to a central server. The next generation version control systems are “decentralized”, in that version control tasks do not rely on a central server.
Decentralized version control systems are more efficient and offer a more practical way of software development.
In this session, Indy takes you through the considerations in moving from Subversion to Git, a decentralized version control system. You also get to understand the pros and cons of each and hear of the practical experience of migrating projects to decentralized version control.
Version control is often used in conjunction with a testing framework and continuous integration. To complete the picture, Indy walks you through how to integrate Git with a testing framework, MXUnit, and a continuous integration server, Hudson.
Introducing "Tugbot" for Docker ContainersNeil Gehani
Just like a tugboat brings containers safely to port, “Tugbot” will do the same for running quality Docker containers in production . Tugbot makes Continuous Testing REAL. It allows developers to write tests once - run anywhere. Any kind of test (including performance, chaos, and security) can be run with 5 lines in a “Test Container” Dockerfile. Leveraging the Docker LABEL and Docker unified API, we will show how this simplifies testing for services running in docker containers while standardizing results collected for analytics to continuously improve the quality of software.
Tugbot - Testing Framework for Docker ContainersNeil Gehani
Social Testing for Docker ecosystem. Tugbot provides simplified and standardized testing for apps in container clusters. It enables teams to share test containers.
Voxxed Luxembourd 2016 Jenkins 2.0 et Pipeline as codeDamien Duportal
Né Hudson en 2004 (cf. http://kohsuke.org/2011/01/11/bye-bye-hudson-hello-jenkins/), le projet Jenkins vient de franchir un cap majeur : la version Jenkins 2.0 (cf. https://groups.google.com/forum/#!msg/jenkinsci-dev/vbXK7JJekFw/BlEvO0UxBgAJ) !
Cette étape majeure réussit à concilier la gestion de l'ancien, et la transition vers des pratiques de déploiement continu plus modernes.
Parmi les nouveautés, la gestion des Pipeline-as-a-Code et l'intégration de Docker sont deux éléments dont vous allez pouvoir tirer de nombreux bénéfices.
Si vous êtes intéressés pour un exemple concret de migration depuis un Jenkins 1.x vers un flux basé sur Docker et Pipeline avec Jenkins 2.0, cette session est faite pour vous !
L'exemple suivi sera un projet Java-Maven "type", stocké sur un dépôt Git, bénéficiant de tests et d'analyses, en "multi-job enchaînés", que nous ferons glisser dans un "Jenkins Pipeline", configuré via un fichier du dépôt Git, en mode "livraison continue" via Docker.
How the use of Groovy language can help you manage your Jenkins instance and extend its functionality. Presentation given at Jenkins User Conference Israel 2015
Codifying the Build and Release Process with a Jenkins Pipeline Shared LibraryAlvin Huang
These are my slides from my Jenkins World 2017 talk, detailing a war story of migrating 150-200 Freestyle Jobs for build and release, into ~10 line Jenkinsfiles that heavily leverages Jenkins Pipeline Shared Libraries (https://jenkins.io/doc/book/pipeline/shared-libraries/)
Drupal & Continous Integration - SF State Study CaseEmanuele Quinto
HigherEd Drupal Summit @ BADCamp 2011 (http://2011.badcamp.net/higher-education-drupal-summit)
Cal State San Francisco will talk about how they implemented their drupal development cycle process based on continuous integration and QuickBuild.
Openstack Third-Party CI and the review of a few Openstack Infrastructure pro...Evgeny Antyshev
Presentation for QA:Conference held in Moscow, Russia on April 23rd.
Author: Evgeny Antyshev, Virtuozzo
These slide discover some Openstack Infrastructure tools to ease the task of creating generic CI systems. As an illustration, I setup "model" CI stand to test Libvirt project. Important ideas originated from Openstack testing also mentioned: pre-review integration testing, testing infrastructure in a cloud, project gating, etc.
Too often in the organization of this conference we have heard "but I don't have scalability issues".
This talk discusses what scalability issues actually are, and details why we all inevitably have them. Avoiding them, or delaying solutions until they are unavoidable, leads to making many bad "temporary" decisions that cannot be fixed further down the line.
I will discuss the methodologies and best practices that are required in order to be scalable, and describe the common mistakes they will temper, and why they should be implemented immediately. Finally, I will briefly touch on how to deal with rectifying the bad decisions that we all inevitably make, no matter how forward-thinking we are.
Building A Distributed Build System at Google Scale (StrangeLoop 2016)Aysylu Greenberg
It's hard to imagine a modern developer workflow without a sufficiently advanced build system: Make, Gradle, Maven, Rake, and many others. In this talk, we'll discuss the evolution of build systems that leads to distributed build systems. Then, we'll dive into how we can build a scalable system that is fast and resilient, with examples from Google. We'll conclude with the discussion of general challenges of migrating systems from one architecture to another.
Git is the new gold standard when it comes to versioning in the Web age. Git is an open source, distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
Version control should always be used when doing software development and most open source projects use version control and there is no exception for Wakanda applications.
In this session we give an introduction to Git, we explain how to use it with Wakanda, the process of creating and cloning repositories, as well as working with branches in a distributed team environment, and finally dealing with merging source code with your team members.
We discuss what version control systems are, why people should use them as much as possible in suitable cases. We took a basic overlook over Git VCS and how it is integrated with Intellij Platform.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
2. Continuous Integration is a software
development practice where members
of a team integrate their work
frequently ... verified by an automated
build (including test) to detect
integration errors
- Martin Fowler
3. Travis CI is ...
• An Open Source
• Distributed
• Build System
• for the Open Source Community
4. Open Source ...
• Brain child of Sven Fuchs
• travis.heroku.com (December, 2010)
• Travis-CI (and subprojects) are open source
• github.com/travis-ci
• 20 members and growing
• Considered “Alpha” (but very functional)
5. Distributed ...
allows users to contribute build
capacities by connecting a VM that
runs a build agent somewhere on their
underused servers
• Travis-CI -- the web application runs on Heroku
• But Travis workers,VMs that run the builds, are
contributed by users
36. The “Hosh” Factor
What metrics do you use when evaluating
gems and applications?
• GitHub watchers and forks
• RubyGems.org download count
• Recent commit activity
• Travis Build Status and History
37. In the works ...
• RabbitMQ replacing Resque
• SproutCore replacing Backbone.js
• Travis API
• Private Repos*
Sven’s Mantra
“Do the simplest thing possible then Improve”
What is CI? It’s just not for teams. Integration can mean external services and platforms and runtimes.\n
\n
Sven Fuchs - i18n, Globalize3, ... \n
Widespread distribution is still WIP\n
Message Que originally Resque; migrating to Rabbit MQ (AMQP)\nBrowser app is currently Backbone.js; migrating to SproutCore\n
Message Que originally Resque; migrating to Rabbit MQ (AMQP)\nBrowser app is currently Backbone.js; migrating to SproutCore\n
Message Que originally Resque; migrating to Rabbit MQ (AMQP)\nBrowser app is currently Backbone.js; migrating to SproutCore\n
Message Que originally Resque; migrating to Rabbit MQ (AMQP)\nBrowser app is currently Backbone.js; migrating to SproutCore\n
Message Que originally Resque; migrating to Rabbit MQ (AMQP)\nBrowser app is currently Backbone.js; migrating to SproutCore\n
Message Que originally Resque; migrating to Rabbit MQ (AMQP)\nBrowser app is currently Backbone.js; migrating to SproutCore\n
Message Que originally Resque; migrating to Rabbit MQ (AMQP)\nBrowser app is currently Backbone.js; migrating to SproutCore\n
Message Que originally Resque; migrating to Rabbit MQ (AMQP)\nBrowser app is currently Backbone.js; migrating to SproutCore\n
Rails / RubyGems / Sinatra etc.\n
Clojure / Erlang / NodeJS / Scala\n
\n
Organization Repositories are supported ... you just have to enable the service hook from GitHub\nWHAT NEXT?!\n
\n
Default build sequence w/o custom config\n
\n
\n
Campfire is in progress\n
\n
\n
\n
\n
\n
No practical limitations; defined by Travis Worker Chef Cookbooks\n
No practical limitations; defined by Travis Worker Chef Cookbooks\n
No practical limitations; defined by Travis Worker Chef Cookbooks\n
No practical limitations; defined by Travis Worker Chef Cookbooks\n
No practical limitations; defined by Travis Worker Chef Cookbooks\n
No practical limitations; defined by Travis Worker Chef Cookbooks\n
No practical limitations; defined by Travis Worker Chef Cookbooks\n
No practical limitations; defined by Travis Worker Chef Cookbooks\n
No practical limitations; defined by Travis Worker Chef Cookbooks\n
\n
\n
\n
\n
First 3 items are actively being worked on\nPrivate repo support is obvious enhancement; but focus is on community support at this point\n
simple_states: a state machine (akin to state_machine and aasm)\ndata_migrations: DSL for Rails migrations with data changes (e.g. in prod environments)\nhashr: makes working with nested hashes easier\n
\n
\n
\n
I like to think of this Travis ... getting in your face when your app won’t build!\n