Developing XWiki

BCS Data Management Specialist Group

Go! Go! Gadgets. Writing an OpenSocial Application

Mark Halvorson

The document outlines an agenda for a web development training covering client-side and server-side technologies. It discusses web browsers, HTML, CSS, JavaScript, mockup tools, server-side programming with Python and Django, databases with MySQL, and rapid application development methodologies. Key topics include the web scenario, HTML tags and document structure, CSS selectors and properties, JavaScript basics, mockups, Python syntax, the Django framework, and agile development with SCRUM.

OCaml Labs introduction at OCaml Consortium 2012

Anil Madhavapeddy

The document summarizes a meeting of the OCaml Consortium in November 2012. It discusses plans to create an OCaml Platform that combines the core compiler with libraries, tools, and documentation. This will include launching ocaml.org with sites for documentation, packages, mailing lists, and events. It also describes the ongoing work on OPAM and hosting its package repository, along with expanding support for different operating systems.

Faster, Cheaper, Better - Replacing Oracle with Hadoop & Solr

Ken Krugler

Our client helps advertisers target publishers/networks and improve ad results by analyzing millions of web pages every day. They have been able to cut monthly costs by more than 50%, improve response time by 4x, and quickly add new features by switching from a traditional DB-centric approach to one based on Hadoop & Solr. This analysis is handled by a complex Hadoop-based workflow, where the end result is a set of unique, highly optimized Solr indexes. The data processing platform provided by Hadoop also enables scalable machine learning using Mahout. This presentation covers some of the unique challenges in switching the web site from relying on slow, expensive real-time analytics using database queries to fast, affordable batch analytics and search using Hadoop and Solr.

Faster Cheaper Better-Replacing Oracle with Hadoop & Solr

DataWorks Summit

The document discusses how a client's analytics website was improved by replacing Oracle with Hadoop and Solr. The website previously took 10-30 seconds for UI refreshes and had expensive hardware costs. By using Hadoop to pre-generate analytics offline and Solr as a NoSQL database, the new system provided faster responses under 1 second, lower costs, and better scalability. The document outlines the ETL process and optimizations used to transform raw data into a Solr index for fast querying of pre-calculated answers.

REST & Hypermedia: the missing links and why you need them - Ruby Hoedown 2012

Phil Harvey

Considerations for using NoSQL technology on your next IT project - Akmal Cha...

Client Server 3.0 - 6 Ways JavaScript is Revolutionizing the Client/Server Re...

MongoDB Hadoop and Humongous Data

The document discusses the growth of humongous data and tools for processing it. It begins with an overview of humongous data and its exponential growth trends. MongoDB and Hadoop are presented as key tools for storing and processing large datasets, with MongoDB suitable for storage and basic operations and Hadoop useful for distributed processing. The document concludes by noting that as data sizes continue growing rapidly, new tools will be needed to analyze "big data," with MongoDB committed to integrating with tools like Hadoop, Storm, and Spark.

On Storing Big Data

Ilias Flaounas

The document discusses storing big data and the rise of NoSQL databases as an alternative to traditional relational databases. It notes that storing, searching, sharing, analyzing and visualizing big data has become challenging. Traditional databases can reach performance limits with big data that comes in at high velocity, volume, and variety. NoSQL databases offer horizontal scalability and high performance without strict schemas or SQL. Example NoSQL databases mentioned include document-based databases like MongoDB.

20171104 hk-py con-mysql-documentstore_v1

Ivan Ma

The document discusses the MySQL Document Store, which allows storing and querying JSON documents in MySQL databases. It introduces the components of the MySQL Document Store, including the MySQL server, JSON data type, X Plugin, X Protocol, X DevAPI, MySQL Shell and connectors. The X DevAPI provides a modern CRUD interface for working with document collections and documents. Documents can be accessed and queried using both the NoSQL-style X DevAPI and traditional SQL.

I wanna' help but jira scares me....

Matt Clare

This document discusses non-code ways for individuals to contribute to the Sakai project. It outlines contributing through quality assurance and feature requests using JIRA, making textual or visual contributions on Confluence, mentoring or answering questions, and participating on Twitter or mailing lists. The document provides guidance on creating JIRA accounts and issues, watching or voting on issues, using QA servers, and including screenshots or stacktraces to support issues. It emphasizes working with others in the community.

Intro to NoSQL and MongoDB

Apps, Timeline and Facepile: Making Sense of Facebook as a Non-Developer

linds313

This document discusses how non-developers can understand and leverage Facebook's Open Graph and Timeline apps. It explains key concepts like profiles, pages, news feeds and how users spend more time on timelines than other areas. It identifies timelines as an untapped opportunity and discusses how apps can aggregate user actions into meaningful stories. Best practices for successful timeline apps include driving existing users to publish engaging stories and making it easy for new users to create stories and continue the growth loop.

Apps, Timeline and Facepile: Making Sense of Facebook as a Non-Developer

Engauge

Facebook is the biggest player in social media; it’s where virtually every brand needs to be. Yet, how to get involved can be a bit confusing when the platform seems to change every few months. The latest group of changes, which included Timeline and Brand Pages updates, is one of their most significant updates. This session will give a “quick and dirty” rundown of the latest changes (those in the last calendar year) and why they matter to brands.

Considerations for using NoSQL technology on your next IT project - Akmal Cha...

jaxconf

Over the past few years, we have seen the emergence and growth of NoSQL technology. This has attracted interest from organizations looking to solve new business problems. There are also examples of how this technology has been used to bring practical and commercial benefits to some organizations. However, since it is still an emerging technology, careful consideration is required in finding the relevant developer skills and choosing the right product. This presentation will discuss these issues in greater detail. In particular, it will focus on some of the leading NoSQL products, such as MongoDB, Cassandra, Redis, and Neo4j and will discuss their architectures and suitability for different problems. Short demonstrations, using Java, are planned to give the audience a feel for the practical aspects of such products.

MySQL Cluster no PayPal

MySQL Brasil

Daniel Austin of PayPal presented on using MySQL Cluster to build a globally distributed database called YESQL. He discussed common myths about big data and NoSQL databases, including that big data always requires NoSQL and that the CAP theorem is simpler than it really is. Austin explained how MySQL Cluster was used to build YESQL to meet requirements like high availability, scalability and global replication within 1000ms. He reviewed the architecture involving tiling across AWS availability zones and lessons learned.

RDBMS vs NoSQL

Murat Çakal

This document provides a comparison of SQL and NoSQL databases. It summarizes the key features of SQL databases, including their use of schemas, SQL query languages, ACID transactions, and examples like MySQL and Oracle. It also summarizes features of NoSQL databases, including their large data volumes, scalability, lack of schemas, eventual consistency, and examples like MongoDB, Cassandra, and HBase. The document aims to compare the different approaches of SQL and NoSQL for managing data.

JClouds at San Francisco Java User Group

Marakana Inc.

MDN Development & Web Documentation

Jay Patel

Rapid Prototyping HTML5 Applications with Node.js

The document discusses a presentation titled "Rapid Prototyping HTML5 Applications with Node.js" given on October 5, 2012. The presentation introduces Node.js as an ideal platform for rapidly prototyping and accelerating the production of next-generation HTML5 applications. It covers how Node.js enables ubiquitous JavaScript, event-driven programming to create reactive systems, and its suitability for prototyping different types of HTML5 applications and experiments.

XWiki Testing with TestContainers

En tant que développeur, qu'il est bon d'être capable de débugguer sur sa machine un problème survenant en production, dans une configuration spécifique ! C'est ce que permet le framework TestContainers. Il permet de piloter Docker directement depuis ses tests JUnit et donc d'avoir un mécanisme extrêmement efficace pour déployer ses tests fonctionnels dans un environnement donné. Cette session présentera TestContainers, appliqué à un cas réel avec une démonstration de comment l'utiliser pour effectuer des tests impliquant une base de données, un moteur de Servlet et plus. Au programme: Intégration JUnit5, création d'images Docker custom, enregistrement automatique de vidéos des tests, intégration avec un job Jenkins pipeline pour itérer sur les différentes configurations à tester.

XWiki: The best wiki for developers

BCS Data Management Specialist Group

XWiki is an open source enterprise wiki platform that can be used to build content-based web applications. It allows users to create custom metadata and store it in wiki pages, includes strong scripting capabilities in pages, and enables skinning, theming and injection of CSS/JavaScript. XWiki is aimed at collaborative authoring of content and provides capabilities for storing data locally for performance and analytics purposes. It also includes features for scheduling tasks and visualizing data through graphs. XWiki takes a model of "application morphing" where applications are dynamically built using the wiki capabilities rather than using a traditional development approach.

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Mansoura University CSED & Nozom web development sprint

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OCaml Labs introduction at OCaml Consortium 2012

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Faster Cheaper Better-Replacing Oracle with Hadoop & Solr

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Ilias Flaounas

20171104 hk-py con-mysql-documentstore_v1

Ivan Ma

I wanna' help but jira scares me....

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Intro to NoSQL and MongoDB

Apps, Timeline and Facepile: Making Sense of Facebook as a Non-Developer

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Apps, Timeline and Facepile: Making Sense of Facebook as a Non-Developer

Engauge

Considerations for using NoSQL technology on your next IT project - Akmal Cha...

jaxconf

MySQL Cluster no PayPal

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RDBMS vs NoSQL

Murat Çakal

JClouds at San Francisco Java User Group

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MDN Development & Web Documentation

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Rapid Prototyping HTML5 Applications with Node.js

Similar to Developing XWiki (20)

Mansoura University CSED & Nozom web development sprint

OCaml Labs introduction at OCaml Consortium 2012

Faster, Cheaper, Better - Replacing Oracle with Hadoop & Solr

Faster Cheaper Better-Replacing Oracle with Hadoop & Solr

REST & Hypermedia: the missing links and why you need them - Ruby Hoedown 2012

Considerations for using NoSQL technology on your next IT project - Akmal Cha...

Client Server 3.0 - 6 Ways JavaScript is Revolutionizing the Client/Server Re...

MongoDB Hadoop and Humongous Data

On Storing Big Data

20171104 hk-py con-mysql-documentstore_v1

I wanna' help but jira scares me....

Intro to NoSQL and MongoDB

Apps, Timeline and Facepile: Making Sense of Facebook as a Non-Developer

Considerations for using NoSQL technology on your next IT project - Akmal Cha...

MySQL Cluster no PayPal

RDBMS vs NoSQL

JClouds at San Francisco Java User Group

MDN Development & Web Documentation

Rapid Prototyping HTML5 Applications with Node.js

More from Vincent Massol

XWiki Testing with TestContainers

XWiki: The best wiki for developers

Advanced Java Testing @ POSS 2019

New types of tests for Java projects

Abstract 2: "Advanced testing in action on a Java project" In 2019 we're all used to writing automated tests in Java projects. It's now time to move up the chain and learn how to implement more complex type of testing. This talk will demonstrate advanced testing practices used by the XWiki open source project (http://xwiki.org), and using Java, Maven, Docker and Jenkins and more: * Testing for backward compatibility with Revapi and an associated strategy * Testing for coverage with Jacoco and defining a viable strategy for slowing improving the situation * Testing the quality of your tests with Descartes Mutation testing * Automatically enriching your test suite with DSpot * Testing various configurations with Docker containers and Jenkins

Configuration Testing with Docker & TestContainers

Building XWiki

New types of tests for Java projects

This talk demonstrates advanced testing practices coming from the STAMP research project and applied to the XWiki open source project: - Testing for coverage with Jacoco and defining a viable strategy for slowly improving the situation - Testing the quality of your tests with Descartes Mutation testing - Automatically enriching your test suite with DSpot - Testing various configurations with Docker containers and Jenkins - Generating tests automatically from production stack traces

What's new in XWiki 9.x and 10.x

This document discusses recent and upcoming changes in versions 9.x and 10.x of the XWiki collaboration platform. Key updates in 10.x include replacing the watchlist and activity stream with a new notifications system, adding filters to the live table feature, and reorganizing the administration interface. Version 9.x introduced features like blame viewing, syntax highlighting, and batch restoring of deleted pages. The document encourages sharing future ideas to continue improving XWiki.

QDashboard 1.2

This document proposes the QDashboard project, which aims to develop a quality and health dashboard to monitor software projects. It would extract metrics from source code, issue trackers, and other project outputs to track quality and health over time. The dashboard would display metrics, rank projects, and suggest recommendations. It would reuse existing open source tools and provide views for various roles. The proposed architecture includes a web app, plugins/portlets for views, and an API for extracting metrics from data sources.

Advanced Java Testing

Video at https://www.youtube.com/watch?v=nD1eFbql8jg This talk will demonstrate advanced testing practices used by the XWiki open source project, and using Java, Maven, Docker and Jenkins: * Testing for backward compatibility with Revapi and an associated strategy * Testing for coverage with Jacoco and defining a viable strategy for slowing improving the situation * Testing the quality of your tests with Descartes Mutation testing Automatically enriching your test suite with DSpot * Testing various configurations with Docker containers and Jenkins

Creating your own project's Quality Dashboard

This document discusses creating a quality dashboard to monitor various metrics for a software project. It describes integrating data from Jenkins, SonarQube, JIRA, and GitHub to track the number of tests, code bugs, open blocker issues, and committer stats. The dashboard will be created in XWiki using scripts, the graph macro, dashboard macro, and cache macro. Data will be stored locally in XWiki objects for performance and visualization. A scheduler job will regularly update the data. Notifications may be sent if certain conditions are met like exceeding a bug threshold.

XWiki: wiki collaboration as an alternative to Confluence and Sharepoint

This document compares the wiki collaboration platform XWiki to Confluence and Sharepoint. It outlines XWiki's main differentiators as being open source and community-based development, high configurability directly in the wiki, and structured data as a built-in feature. It discusses XWiki's open source nature, extensive customizability options through UI extensions and configurations, built-in structured data capabilities, and ability for non-developers to create simple applications. Feedback from users praises XWiki's functionality, extensive extensions, flexibility, active community, and quality over other wiki systems like Confluence.

Creating your own project's Quality Dashboard

Presentation held at Softshake 2017. Shows how to use the XWiki open source project (http://xwiki.org) to develop a quality portal web site for your development projects. We'll start from a clean XWiki instance and configure it and write scripts to have the following features: * Documentation for your project * Display JIRA issues * Display Sonar metrics * Display Jenkins statuses * Display Git statistics of your project * Have an application to perform releases (checklist, release notes) * Send alerts (mail, IRC, etc) when quality metric thresholds are reached And more!

XWiki: The web's Swiss Army Knife

Presentation held at Softshake 2017. When developing a web application, the traditional way is to develop the application from scratch using a general purpose language such as PHP, Grails, Play, Java/JSP, etc. This presentation shows that a next generation wiki (examples based on XWiki: http://xwiki.org) can be used as a web development platform to develop applications on top of it, providing a strong infrastructure scaffolding to building web applications. The advantages are similar to those of using an application sever. However whereas an application server offers technical services only, a wiki platform offers higher level services such as content management, rendering, storage, WYSIWYGeditor, user management, and a lot more. Not only are these services offered, you can develop using them in your traditional IDE or in the runtime, directly in wiki pages. This allows developing web applications extremely quickly, collaboratively and with a fast turnaround time, which is perfect for adhoc web application development.

Leading a Community-Driven Open Source Project

Talk presented at Voxxed Luxembourg 2017. This talk is a return of experience of 20 years developing open source software at the Apache Software Foundation (Jakarta Cactus, Apache Maven), at Codehaus (Cargo) and on the XWiki open source project (last 10 years). Through the example of the XWiki open source project, the talk will tackle best practices and governance rules for running community-driven open source projects and it'll also tackle the difficult topic of how to run such a project when there are companies making money from the open source project behind the scene. Examples of topics that will be covered: * Committership * Development best practices * Roadmap definitions * Fully automating software releases * Handling companies * Tracking who's using your project

Developing XWiki

Vincent Massol presented on developing the open source XWiki project. Key points include: - XWiki is an open source structured wiki and content platform. It has over 73% test coverage and aims for monthly releases. - Governance follows Apache Foundation rules. Development uses test-driven practices like continuous integration, automated testing, and code reviews. - Communication occurs via mailing lists, IRC, and commit emails. Developers work on specifications in JIRA and document code. - Future goals include separating the open source project from the company, running CI tests in Docker, reducing flaky tests, and automating performance testing.

XWiki Status - July 2015

- XWiki downloads have increased steadily to over 30,000 per month since 2014. Active installs have also grown by around 9% per month. - While mailing list activity has decreased and commit activity has remained stable, issues filed and pull requests have increased in 2015, showing greater community involvement. - XWiki SAS contributes the majority of commits but external contributions have grown, although more could be done to attract contributors to projects under xwiki-contrib. - Overall, usage is growing significantly while development activity and the number of contributors has remained steady, suggesting actions may be needed to further engage the community.

XWiki SAS development practices

Internal training at [[XWiki SAS>>http://xwiki.com]] about the Development Practices used by the XWiki SAS product team in charge of developing the XWiki open source project (among other projects). Most of the practices detailed are those from the XWiki open source project, defined on the [[dev subwiki>>dev:Main.WebHome]]. However the slides also provide a glimpse of other development practices that are used to complement the open source practices, such as Roadmap preparation and Stakeholder meetings. More details at http://www.xwiki.org/xwiki/bin/view/Blog/DevPracticesByXWikiSAS

XWiki SAS: An open source company

XWiki SAS est une société qui sponsorise le développement du logiciel open source XWiki (http://xwiki.org). De plus le développement du logiciel est communautaire et suit les règles de développement de la fondation Apache. Vincent Massol, directeur technique de XWiki SAS présentera comme la société est organisée de l’intérieur, ses sources de revenus, comment se font les recrutements et quels sont les liens avec le projet open source et les tensions inhérentes entre une société à but commercial et un projet open source communautaire.

Implementing Quality on a Java Project