Ease into HTML5 and CSS3

This document discusses strategies for modernizing front-end codebases in an incremental way. It suggests starting with basic modularization by splitting code into logical chunks, then concatenating and minifying modules. Next steps include loading modules on demand using various module systems. Graceful deprecation is recommended over breaking changes. The document also advocates trying new frameworks on side projects first before adopting one. Maintaining good development practices like testing, linting, code style rules and performance testing is emphasized over choosing any particular framework.

Bert Jan Schrijver discusses Malmberg's transition from traditional operations to a containerless continuous delivery model using DevOps principles. Some key challenges included cultural resistance to change, infrastructure limits with Amazon, and ensuring proper testing environments. The approach established expert teams, defined clear principles like infrastructure as code and no downtime, and benefited the business through increased agility, availability, and cost reductions. Areas of ongoing focus include monitoring, performance and security testing, and automated resilience testing.

A fast website is a good website, but making a website fast takes work. This session of couch coding will discuss the tips & tricks necessary to build the feeds & speeds into your website to make it soar.

Today, a web page can be delivered to a desktop computer, a television, or a handheld device like a tablet or a phone. While a technique like responsive design helps ensure that our web sites look good across that spectrum of screen sizes we may forget our web sites should also be able to perform equally well across that same spectrum. While more and more of our users are shifting their Internet usage to these more varied platforms and connection speeds our development practices might not be keeping up.In this session we’ll review why optimizing web performance should be an important step in the development of responsive websites. We’ll look at the tools that can help you understand and measure the performance of those sites as well as discuss front-end and server-side techniques that can be used to help you improve their performance. Finally, since the best way to test your site is to have real devices in hand, we’ll share “lessons learned” so you can set-up your own device lab similar to what we have at West Virginia University.This presentation builds upon Dave’s “Optimization for Mobile” chapter in Smashing Magazine’s “The Mobile Book.”

1. Etsy has transitioned from infrequent deployments that took weeks of work and often broke the site, to deploying up to 25 times per day with near effortless deploys. 2. By deploying frequently with small code changes and thorough testing, the probability and severity of degradations is reduced, allowing issues to be detected and resolved quickly. 3. Etsy's continuous deployment approach enables rapid experimentation and improvement through frequent analysis of deployment outcomes and re-examination of assumptions.

Jumping into pre-built Drupal projects sometimes requires a leap of faith as much for clients as for developers. The client is usually coming out of a bad previous business relationship and the code is not always structured according to your standards. During this talk, Symetris will share its experience and provide tips on how to navigate these often uncharted waters. Our goal is to help you convert an uncertain client into a long term partner and have a checklist of what to look out for as developers.

In diesem Talk beschreibe ich die Continuous Integartion Pipeline von punkt.de und deren Entstehen. Es wird motiviert, warum es sich lohnt, eine solche Pipeline zu implementieren und welche Tools wir dafür verwendet haben. Neben der Beschreibung von Git, Jenkins, Chef, Vagrant, Behat und Surf geht es auch um Integration der einzelnen Tools in eine Deployment Kette.

The document discusses how to continuously innovate with software given the rapid pace of new technologies being introduced and the large research and development budgets of corporations. It emphasizes the need to build solutions that address business needs rather than adopting every new tool, and to develop an adaptive culture within teams that can respond to changing technologies and industry trends. Examples are provided of how open source technologies like Docker have evolved and best practices for evaluating and using new software.

Continuous deployment is causing organisations to rethink how they build and release software. Atlassian Bamboo is rapidly adding features to help with automating deployment, but there are a lot of other practical and organisational issues that need to be addressed when adopting this development model. The Atlassian business-platforms team has been dealing with these issues over the last few months as we transition our order system to continuous deployment. This talk will cover why we adopted this model, some of challenges we encountered, and the approaches and tools we used to overcome them.

There are numerous examples of DevOps and Continuous Delivery reference architectures available, and each of them vary in levels of detail, tools highlighted, and processes followed. Yet, there is a constant theme among the tool sets: Jenkins, Maven, Sonatype Nexus, Subversion, Git, Docker, Puppet/Chef, Rundeck, ServiceNow, and Sonar seem to show up time and again.

The document discusses how people build software and modern development processes. It describes a traditional agile development process with sprints, planning, integration, reviews and retrospectives. It then summarizes a modern CI/CD DevOps workflow with continuous collaboration, integration, deployment to production and issue closing. It also discusses tooling, architecture principles, DevOps, templates, orchestration, inventory, machine templates and application templates.

Drupal 8 sets a new standard for ease of use, and allows users to create and deploy content in a whole new way. You’ve seen the platform designed for Drupal, now see Drupal designed for the platform.

This is part 3 of "Using CI for continuous delivery" in which we test drive Go. More details can be found at www.vishalbiyani.com/ci-continuous-delivery

Kris Buytaert discusses the Devops movement and how bringing developers and operations teams together earlier improves systems. He advocates for automation throughout the development and deployment process, from version control and testing to configuration management, monitoring, and upgrades. Adopting a Devops culture and practices like continuous integration, delivery, and deployment can help teams deploy better systems faster at lower risk.

Steve Povilaitis presented on continuous deployment and its benefits. Continuous deployment involves continuous developer integrations and deployments executed by automatic builds. It reduces risk by integrating code changes frequently through automated testing and deployment. The presentation outlined a roadmap for implementing continuous deployment practices like version control, automated builds, testing, and deployment through tools like Jenkins.

DevOps is a set of practices intended to reduce the time between committing a change to a system and deploying it to production while ensuring high quality. It focuses on bridging the gap between developers and operations teams. Key DevOps principles include systems thinking, amplifying feedback loops, and a culture of experimentation. DevOps aims to achieve continuous delivery through practices like automated deployments, infrastructure as code, and deployment strategies like blue-green deployments and rolling upgrades.

This presentation talks about the concepts of continuous Integration with TFS as an example platform on whihc you can implement this concept but it can apply to open source platforms as well

Gearman is a software tool for distributing tasks to multiple machines or processes for parallel processing. It allows for jobs to be dispatched to multiple machines and processed asynchronously. Some key points: - Gearman was originally created by Danga Interactive and allows tasks to be handled across multiple servers and programming languages. - It provides features like load balancing, scalability, and no single point of failure. Companies like Digg and Yahoo have used Gearman to distribute large numbers of jobs across many servers. - The Gearman software includes client libraries for submitting jobs, worker applications for processing jobs, and a job server for handling requests and responses. It supports distributing jobs asynchronously or synchronously.

Giuseppe Maxia gives a presentation introducing Gearman, a technology for distributed computing. Gearman allows clients to submit tasks or jobs to a central server, which then distributes the jobs to registered worker processes and returns the results to the clients. It provides flexibility by allowing clients, servers, and workers to run on different operating systems and communicate using different programming languages. Gearman also enables redundancy through its ability to use multiple servers for high availability.

Gearman is a distributed processing platform that allows users to offload tasks like image resizing or text filtering to worker machines. It supports asynchronous and synchronous requests and restarting failed work. Clients can submit tasks that workers process in different programming languages. Gearman handles load balancing, prioritizing tasks, and monitoring workers. It provides features like chunked data transfer, error handling, and large message sizes up to 4GB.

The document discusses several tools for improving application performance, including Gearman for distributing jobs across worker processes, Memcached for caching data in memory, and Sphinx for indexing and searching large amounts of data. It provides examples of how each tool works and can help address bottlenecks. Alternatives to each tool are also mentioned, along with some implementation details and considerations.

The document discusses using work queues with Gearman and CodeIgniter. It begins with an introduction to work queues, describing them as sequences of stored data or programs awaiting processing. It then discusses the client worker pattern for processing asynchronous jobs, some limitations of this approach, and how Gearman can help address those limitations by facilitating work distribution across languages and servers. The document provides instructions for installing and configuring Gearman to add work queue functionality.

Gearman is a job server that allows clients to distribute jobs to workers. It manages communication between clients and workers, which can be written in different programming languages. Clients submit jobs to Gearman that workers then process asynchronously. Gearman provides features like parallel processing, callbacks, prioritization, and monitoring of job status. It allows scaling applications by distributing work across multiple workers.

Gearman is an open source job server that allows distributing asynchronous jobs to worker processes. It provides a way to offload CPU-intensive tasks from web servers to separate worker processes. PHP applications can use the Gearman extension to create clients that send jobs and worker scripts that receive and execute jobs. Managing many worker processes across servers can be challenging. The Gearman Agent Manager aims to address this by providing centralized management and monitoring of Gearman workers through a web API.

Talks about the best practices in web development regarding semantics, accessibility, SEO and performance.

HTML5 presented at the Fox Valley Computing Professionals on December 14, 2010. Explores the history, philosophy, and drama behind this popular new spec for the web, and looks at some of the key new features.