This document provides an overview of source control, including what it is, why it's important, common terms used, and examples of centralized and distributed version control systems. Source control allows teams to backup and track changes to code and other project files. It facilitates communication, recoverability, accountability and more efficient collaboration between developers. Both centralized systems like SVN and distributed systems like Git are covered.
Slides from my presentation in JavaOne 2016 on the topic of how to keep your CI/CD pipeline under control. Don't let it grow to unmanageable build times! Learn to find out when your pipeline is too slow and you need to do something about it, and when it's fine and you can just carry on with your life.
Introduction of Continuous Integration (CI)
* Try to answer questions from developers, testers, team leaders, and managers.
* The topology and features of CI.
* How can CI reduce risks?
This document provides an overview and introduction to Jenkins, an open-source automation server for continuous integration. It discusses what continuous integration is, best practices for CI, how Jenkins works and its features. Key points include that Jenkins allows automating the build, test and deployment process, has a large plugin ecosystem, and can be used to build projects in many languages beyond Java. The document also demonstrates how to set up and use basic Jenkins functionality.
Introduction to Continuous Integration with JenkinsBrice Argenson
This document provides an introduction to continuous integration with Jenkins. It discusses what continuous integration is, how it works using examples, and why Jenkins is a popular open-source continuous integration server. Continuous integration involves developers frequently integrating their work into a shared repository. This allows for multiple times a day integration to catch bugs early. The document then demonstrates how to use Jenkins for continuous integration on a Java project.
Continuous integration involves developers committing code changes daily which are then automatically built and tested. Continuous delivery takes this further by automatically deploying code changes that pass testing to production environments. The document outlines how Jenkins can be used to implement continuous integration and continuous delivery through automating builds, testing, and deployments to keep the process fast, repeatable and ensure quality.
This document provides an introduction to continuous integration with Jenkins. It discusses what continuous integration is and why Jenkins is commonly used for CI. Jenkins allows for easy installation and configuration, extensive extensibility through plugins, and distributed builds across multiple nodes. The document outlines common CI workflows and components like version control, automated building and testing. It also covers Jenkins' major functionalities, platforms supported, notifications, advanced configuration options and principles of continuous delivery.
Continuous integration (CI) is a software development practice where developers integrate code into a shared repository frequently, preferably multiple times a day. Each integration is verified by an automated build and test process to detect errors early. CI utilizes source control, automated builds, and tests to minimize the time between code changes being integrated and identified issues being found. While CI focuses on frequent code integration and testing, it does not require constant production releases or infrastructure automation. CI helps reduce integration problems and allows development teams to work together more efficiently.
Improving software quality using Continuous IntegrationWouter Konecny
This document discusses how continuous integration can be used to improve software quality. It covers topics like version control with Git, build tools like Maven and Gradle, continuous integration with Jenkins, code quality tools like Sonar, and artifact repositories like Nexus. Hands-on examples are provided for setting up Git branches, configuring Jenkins builds, analyzing code coverage with Sonar, and fixing bugs. The overall goal is to illustrate how continuous integration practices can help catch issues earlier, produce higher quality code, and speed up delivery through automation and feedback loops.
Continuous Integration, the minimum viable productJulian Simpson
What does it mean to 'do' Continuous Integration? It used to be enough to execute your unit tests in CI. But the bar is steadily raising for engineering practices. In the last decade we've seen tremendous improvements inacceptance testing. JavaScript is now a platform in it's own right. Cloudcomputing is now vital. There's growing interest in deployment to prod.So Continuous Integration is under more pressure than ever. As the bar slowly raises for engineering practices, we ll present 2011's minimum viable feature set for Continuous Integration
This document discusses continuous integration (CI), including why it is important, how it works through its core practices, and how CI evolves over time. CI is meant to catch bugs early, reduce merge conflicts, and make development teams more efficient by implementing automated builds, testing, and code integration. The core practices involve using a single source code repository, automating builds and testing, and publishing the latest version. CI is an evolving practice that changes as tools, languages, and development approaches change over time.
Continuous Integration (CI) - An effective development practiceDao Ngoc Kien
This document introduces a very effective practice of software development method called Continuous Integration.
CTO/Manager of IT company (outsource/startup company) should have a look.
Continuous Integration, Build Pipelines and Continuous DeploymentChristopher Read
This document discusses core concepts and best practices for continuous integration (CI), build pipelines, and deployment. It recommends having a single source code repository, automating builds and testing, publishing the latest build, committing code frequently, building every commit, testing in production environments, keeping builds fast, ensuring all team members can see build status, automating deployment, and making CI and continuous deployment a collaborative effort between developers and system administrators. The goal is to improve quality, time to market, and confidence through practices that provide fast feedback on code changes.
This document provides an overview of continuous integration and compares two popular tools: Travis CI and Jenkins. Continuous integration involves regularly integrating code changes into a shared repository. Martin Fowler's definition is provided. The challenges of integration are discussed. Key aspects of continuous integration like building, testing, and archiving are outlined. Benefits like early bug detection are noted. Travis CI and Jenkins are introduced as popular CI tools. Travis CI is a hosted service that integrates with GitHub, while Jenkins is an open-source application. Their features, uses cases, and examples of companies using each tool are summarized.
Jenkins is the leading open source continuous integration tool. It builds and tests our software continuously and monitors the execution and status of remote jobs, making it easier for team members and users to regularly obtain the latest stable code.
2013 10-28 php ug presentation - ci using phing and hudsonShreeniwas Iyer
This document discusses using Phing and Hudson for continuous integration of PHP projects. Phing is a build tool similar to Ant for PHP projects that allows running tests, building packages, and more via XML configuration files. Hudson is an open source continuous integration server that can be used to run Phing build scripts and publish test reports. The document provides examples of using Phing for tasks like linting, testing, deploying, and generating documentation and packages, as well as configuring Hudson jobs to regularly run builds, track changes, and publish results.
The document discusses how Jenkins helps improve the software development process at Yale. It outlines challenges without Jenkins, such as slow and error-prone builds, difficult testing and code coverage, and lack of change control for deployments. With Jenkins, builds are automated and consistent, testing and code coverage are automated, changes are tracked, and deployments are easier. Jenkins supports continuous integration, containerized artifacts, and managed deployments to improve agility, catch bugs early, and standardize environments. The document also discusses how Jenkins supports non-Java languages and future plans.
Jenkins is an open-source tool for continuous integration that allows developers to integrate code changes frequently from a main branch using an automated build process. It detects errors early, measures code quality, and improves delivery speed. Jenkins supports various source control, build tools, and plugins to customize notifications and reporting. Security features allow restricting access and privileges based on user roles and projects.
Jenkins is an open source automation server written in Java. Jenkins helps to automate the non-human part of software development process, with continuous integration and facilitating technical aspects of continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat.
Jenkins - From Continuous Integration to Continuous DeliveryVirendra Bhalothia
Continuous Delivery is a process that merges Continuous Integration with automated deployment, test, and release; creating a Continuous Delivery solution. Continuous Delivery doesn't mean every change is deployed to production ASAP. It means every change is proven to be deployable at any time.
We would see how we can enable CD with Jenkins.
Please check out The Remote Lab's DevOps offerings: www.slideshare.net/bhalothia/the-remote-lab-devops-offerings
http://theremotelab.io
Automate your build on Android with JenkinsBeMyApp
This document discusses continuous integration, delivery, and deployment. It defines each term and explains that continuous integration involves compiling, testing, and deploying code with each commit. Continuous delivery further involves delivering code to subsequent teams after integration. Continuous deployment automatically deploys code to production after delivery. The document then provides examples of implementing continuous integration using tools like Jenkins and distributing builds across multiple machines. It addresses challenges and differences for continuous delivery versus deployment of mobile apps.
Using Jenkins for continuous delivery allows for easy installation, upgrades, configuration, distributed builds, and plugin support. Jenkins supports continuous integration through features like compiling, packaging, testing, and deploying code. It facilitates shorter release cycles through goals like developing on production-like environments, performing early performance testing, and minimizing the time from idea to delivery. Continuous delivery with Jenkins enables frequent releases, rapid feedback, and deploying any code change simply with a single button press.
This document provides an overview of using Hudson/Jenkins for continuous integration. It discusses how Hudson/Jenkins are tools that automatically build, test, and validate code commits. It also summarizes how to set up Hudson/Jenkins, including installing the server, configuring nodes and jobs, integrating source control and build tools, running tests, and configuring notifications.
This document provides an overview of source version control and Subversion. It discusses why source version control is useful, common version control software options with a focus on Subversion. The document describes the centralized repository model of Subversion and the typical Subversion workflow. It also outlines the Subversion command line and GUI tools, project layout best practices, and concludes with a offer to demonstrate Subversion.
This document introduces SVN concepts and best practices. It discusses the benefits of version control such as tracking changes, rolling back mistakes, and collaborating on code. It explains how the SVN workflow involves developers checking out code from a central repository, making changes locally, and committing changes back. The document outlines the trunk, branch, and tag file structure and describes branches as experimental code and tags as saved versions. It provides examples of common SVN commands like add, commit, update, and viewing changes. Finally, it offers best practices such as small commits, updating before working, and writing descriptive commit messages.
Improving software quality using Continuous IntegrationWouter Konecny
This document discusses how continuous integration can be used to improve software quality. It covers topics like version control with Git, build tools like Maven and Gradle, continuous integration with Jenkins, code quality tools like Sonar, and artifact repositories like Nexus. Hands-on examples are provided for setting up Git branches, configuring Jenkins builds, analyzing code coverage with Sonar, and fixing bugs. The overall goal is to illustrate how continuous integration practices can help catch issues earlier, produce higher quality code, and speed up delivery through automation and feedback loops.
Continuous Integration, the minimum viable productJulian Simpson
What does it mean to 'do' Continuous Integration? It used to be enough to execute your unit tests in CI. But the bar is steadily raising for engineering practices. In the last decade we've seen tremendous improvements inacceptance testing. JavaScript is now a platform in it's own right. Cloudcomputing is now vital. There's growing interest in deployment to prod.So Continuous Integration is under more pressure than ever. As the bar slowly raises for engineering practices, we ll present 2011's minimum viable feature set for Continuous Integration
This document discusses continuous integration (CI), including why it is important, how it works through its core practices, and how CI evolves over time. CI is meant to catch bugs early, reduce merge conflicts, and make development teams more efficient by implementing automated builds, testing, and code integration. The core practices involve using a single source code repository, automating builds and testing, and publishing the latest version. CI is an evolving practice that changes as tools, languages, and development approaches change over time.
Continuous Integration (CI) - An effective development practiceDao Ngoc Kien
This document introduces a very effective practice of software development method called Continuous Integration.
CTO/Manager of IT company (outsource/startup company) should have a look.
Continuous Integration, Build Pipelines and Continuous DeploymentChristopher Read
This document discusses core concepts and best practices for continuous integration (CI), build pipelines, and deployment. It recommends having a single source code repository, automating builds and testing, publishing the latest build, committing code frequently, building every commit, testing in production environments, keeping builds fast, ensuring all team members can see build status, automating deployment, and making CI and continuous deployment a collaborative effort between developers and system administrators. The goal is to improve quality, time to market, and confidence through practices that provide fast feedback on code changes.
This document provides an overview of continuous integration and compares two popular tools: Travis CI and Jenkins. Continuous integration involves regularly integrating code changes into a shared repository. Martin Fowler's definition is provided. The challenges of integration are discussed. Key aspects of continuous integration like building, testing, and archiving are outlined. Benefits like early bug detection are noted. Travis CI and Jenkins are introduced as popular CI tools. Travis CI is a hosted service that integrates with GitHub, while Jenkins is an open-source application. Their features, uses cases, and examples of companies using each tool are summarized.
Jenkins is the leading open source continuous integration tool. It builds and tests our software continuously and monitors the execution and status of remote jobs, making it easier for team members and users to regularly obtain the latest stable code.
2013 10-28 php ug presentation - ci using phing and hudsonShreeniwas Iyer
This document discusses using Phing and Hudson for continuous integration of PHP projects. Phing is a build tool similar to Ant for PHP projects that allows running tests, building packages, and more via XML configuration files. Hudson is an open source continuous integration server that can be used to run Phing build scripts and publish test reports. The document provides examples of using Phing for tasks like linting, testing, deploying, and generating documentation and packages, as well as configuring Hudson jobs to regularly run builds, track changes, and publish results.
The document discusses how Jenkins helps improve the software development process at Yale. It outlines challenges without Jenkins, such as slow and error-prone builds, difficult testing and code coverage, and lack of change control for deployments. With Jenkins, builds are automated and consistent, testing and code coverage are automated, changes are tracked, and deployments are easier. Jenkins supports continuous integration, containerized artifacts, and managed deployments to improve agility, catch bugs early, and standardize environments. The document also discusses how Jenkins supports non-Java languages and future plans.
Jenkins is an open-source tool for continuous integration that allows developers to integrate code changes frequently from a main branch using an automated build process. It detects errors early, measures code quality, and improves delivery speed. Jenkins supports various source control, build tools, and plugins to customize notifications and reporting. Security features allow restricting access and privileges based on user roles and projects.
Jenkins is an open source automation server written in Java. Jenkins helps to automate the non-human part of software development process, with continuous integration and facilitating technical aspects of continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat.
Jenkins - From Continuous Integration to Continuous DeliveryVirendra Bhalothia
Continuous Delivery is a process that merges Continuous Integration with automated deployment, test, and release; creating a Continuous Delivery solution. Continuous Delivery doesn't mean every change is deployed to production ASAP. It means every change is proven to be deployable at any time.
We would see how we can enable CD with Jenkins.
Please check out The Remote Lab's DevOps offerings: www.slideshare.net/bhalothia/the-remote-lab-devops-offerings
http://theremotelab.io
Automate your build on Android with JenkinsBeMyApp
This document discusses continuous integration, delivery, and deployment. It defines each term and explains that continuous integration involves compiling, testing, and deploying code with each commit. Continuous delivery further involves delivering code to subsequent teams after integration. Continuous deployment automatically deploys code to production after delivery. The document then provides examples of implementing continuous integration using tools like Jenkins and distributing builds across multiple machines. It addresses challenges and differences for continuous delivery versus deployment of mobile apps.
Using Jenkins for continuous delivery allows for easy installation, upgrades, configuration, distributed builds, and plugin support. Jenkins supports continuous integration through features like compiling, packaging, testing, and deploying code. It facilitates shorter release cycles through goals like developing on production-like environments, performing early performance testing, and minimizing the time from idea to delivery. Continuous delivery with Jenkins enables frequent releases, rapid feedback, and deploying any code change simply with a single button press.
This document provides an overview of using Hudson/Jenkins for continuous integration. It discusses how Hudson/Jenkins are tools that automatically build, test, and validate code commits. It also summarizes how to set up Hudson/Jenkins, including installing the server, configuring nodes and jobs, integrating source control and build tools, running tests, and configuring notifications.
This document provides an overview of source version control and Subversion. It discusses why source version control is useful, common version control software options with a focus on Subversion. The document describes the centralized repository model of Subversion and the typical Subversion workflow. It also outlines the Subversion command line and GUI tools, project layout best practices, and concludes with a offer to demonstrate Subversion.
This document introduces SVN concepts and best practices. It discusses the benefits of version control such as tracking changes, rolling back mistakes, and collaborating on code. It explains how the SVN workflow involves developers checking out code from a central repository, making changes locally, and committing changes back. The document outlines the trunk, branch, and tag file structure and describes branches as experimental code and tags as saved versions. It provides examples of common SVN commands like add, commit, update, and viewing changes. Finally, it offers best practices such as small commits, updating before working, and writing descriptive commit messages.
This document provides an overview of version control systems and specifically focuses on centralized version control using Subversion and decentralized version control using Git. It discusses the benefits of version control for backup, synchronization, selective undo, and tracking changes. It then covers the key concepts and workflows for Subversion including checkout, updating, making changes, resolving conflicts, and committing changes. For Git, it discusses the decentralized model and covers similar workflows for updating, making changes, resolving conflicts, and committing changes. It also discusses branching and merging in both systems.
This document provides an overview of using Subversion (SVN) for version control, including:
- Installing and setting up an SVN repository with trunk, branches and tags structures
- Common SVN commands like checkout, commit, status and log
- Best practices for committing changes in discrete units and avoiding conflicts
- Advanced topics like branching/tagging strategies, merging, authentication/authorization, and using hooks for tasks like running tests and notifications
JavaEdge 2008: Your next version control systemGilad Garon
The next generation of VCS has a clear target ahead of them: making branching and merging easier. Until recently, Subversion was dominating the world of Version Control Systems, but now, Distributed Version Control Systems are growing in popularity and everywhere you go you hear about Git or Mercurial, and how they make branching and merging a breeze. But the Subversion team isn't going down quietly, they have a new weapon: the 1.5 version. Learn about the next generation of Version Control Systems is planning to solve your problems.
This document discusses the benefits of distributed version control systems (DVCS) like Git over centralized version control systems (CVCS) like SVN. It argues that DVCS tools make collaboration and branching much easier and more flexible. Various workflow models for DVCS are presented, including integrating feature branches and using different roles like integration managers. The document provides references for learning more about Git and distributed version control.
This document provides an overview of version control systems, focusing on centralized version control using Subversion and decentralized version control using Git. It discusses the problems that version control aims to solve like collaborating on documents and projects. It then describes the centralized model used by Subversion and how to perform common version control tasks in Subversion like updating, committing changes, branching and merging. Finally, it introduces the decentralized model used by Git and provides a brief overview of how to perform similar version control tasks in Git.
What is svn?
how svn works ?
diagram of SVN ?
Merging with SVN ?
Conflict With SVN ?
Checkout and Checkin ,update ,branch , tags ?
what is version control "?
SVN file directory ?
Directories locked in Tags ?
Javahispano y Paradigma Tecnológico organizan un un seminario sobre una comparativa de sistemas de versionado: Subversion vs. Git.
Seminario presentado por Mariano Navas el 29 de Mayo de 2013 en UPM.
Dentro del mundo de los sistemas de control de versiones tenemos dos grandes grupos: los centralizados y los distribuidos. Subversion es en buena medida el representante más notable en el grupo de los centralizados. En los distribuidos git se está imponiendo como la tendencia.
Más información sobre el seminario:
http://www.paradigmatecnologico.com/seminarios/git-vs-subversion-cuando-utilizar-uno-u-otro/
Vídeo youtube: https://www.youtube.com/watch?v=nR5L3sJRp_c
¿Quieres saber más?
http://www.paradigmatecnologico.com
The document discusses version control and the Subversion (SVN) system. It defines what version control is and some key concepts in SVN like checkout, commit, update, and tags. It explains how to set up a new SVN repository from the command line or using TortoiseSVN and Eclipse. It also covers merging changes from branches back into the main trunk.
Version Control Lassosoft 2009 Lasso Developers ConferenceBrian Loomis
This document discusses version control systems and compares centralized and decentralized versions. It provides information on common version control systems like Git, Subversion, CVS, and Mercurial. It highlights key differences between centralized and distributed systems and provides commands to perform common version control tasks in both Git and Subversion.
Developers at Indigo will store project source code in a Subversion repository to prevent loss of work from untested updates. The repository automatically tracks file changes, allowing developers to revert to previous versions or merge changes. Subversion is suitable when projects involve multiple developers, files, and revisions over time. Developers will check out projects to their local machines, make changes, test them, and commit updates with comments to the repository.
Software Carpentry - Version control slidesanpawlik
This document provides an overview of version control systems and how they can be used to track changes to code and documents. It discusses how version control allows users to keep track of changes like a lab notebook, roll back to previous versions, back up work, collaborate remotely, resolve conflicts, and work on files from multiple locations. It describes centralized and distributed version control systems as well as remote repositories. It focuses on explaining how to use the distributed version control system Git, including commits, checkouts, branching, merging, and working with remote repositories. It concludes with recommendations around workflows and best practices when using version control in collaborative projects.
The document discusses Git, including why it is useful, how it compares to Subversion, basic Git commands, branching and merging workflows, and a typical development workflow. Git is a distributed version control system that allows for offline work, rapid branching and merging, and scalability for large projects. It differs from Subversion in being decentralized, allowing local repositories with full development histories. The document reviews commands for repository management, viewing changes, and attributing changes to authors. It emphasizes best practices for branching like following a specific model and not working directly on master or development branches.
Part 4 - Managing your svn repository using jas forgeJasmine Conseil
This document discusses version control systems and Subversion (SVN) in particular. It provides an overview of SVN, including its features for managing file changes, branches and tags. It also discusses how SVN is integrated with JasForge to provide full source code management capabilities including access rights and authentication.
Subversion: A Getting Started PresentationNap Ramirez
Subversion is a source control management system that keeps track of changes to files and directories over time. It uses a centralized, client-server model with the repository storing the authoritative versions. Common operations include checkout, update, commit, diff, and revert. Files are organized in a directory structure with trunk for the main branch and tags and branches for labeled versions. Properties provide additional metadata for files and directories.
Version control systems (VCS) allow developers to manage code through capabilities like reversibility, concurrency, and annotation. Subversion is a popular centralized VCS that was released in 2000. It uses a trunk-branch-tag structure where the trunk contains stable code, branches are for development work, and tags create snapshots. Developers check code out from the repository, check changes in after making modifications, and view file histories.
This document provides an overview of Subversion version control. It defines version control as the management of changes to files over time. It explains the benefits of version control like undo capabilities, backups, synchronization, and tracking changes. It describes Subversion as a free, open source, cross-platform centralized version control system with a central repository. Key Subversion concepts are explained such as working copies, checkouts, checkins, updates, and revisions. Advantages of Subversion include efficient storage of file changes and support for various file types and protocols.
Version control is a method for centrally storing files and keeping a record of changes made by developers. It allows tracking who made what changes and when. This allows developers to back up their work, track different versions of files, merge changes from multiple developers, and recover old versions if needed. Centralized version control systems like Subversion store all files in a central repository that developers check files out from and check changes back into. Subversion allows viewing changes between versions, rolling back changes, and recovering old project versions with a single version number across all files.
Modern Cloud Fundamentals: Misconceptions and Industry TrendsChristopher Bennage
A discussion of misconceptions, problems, and industry trends that hinder adoption of cloud technology; with an emphasis on scenarios that appear to work but fail at critical moments.
Be sure to read the notes!
An introduction to the reference architectures content from the Microsoft patterns & practices team.
This covers common IaaS (infrastructure) and PaaS (managed services) scenarios.
http://aka.ms/architecture
Be sure to read the notes!
A discussion of some typical misconceptions related to the performance of high scale distributed systems, examples of some common anti-patterns, and a brief outline for analyzing performance.
Presented at CodeFest 2014
Whether you are logging for the purpose of diagnostics or monitoring, it requires proper, well-designed instrumentation and a sound strategy. The new Semantic Logging Application Block (SLAB) offers a smarter way of logging by keeping the structure of the events when writing log messages to multiple destinations such as rolling flat file, database or Windows Azure table storage. In this talk, we will give an introduction to SLAB and provide a time of Q&A. We will address questions like:
* What are the pros and cons of using SLAB?
* What is the performance impact?
* How can I extend SLAB?
* Do I have to commit to using ETW?
* Does SLAB support .NET’s EventSoure?
* How extensible is SLAB? Can you provide an example?
* Can you use SLAB without knowledge of ETW?
* What is the trade-off between using SLAB in-process vs out-of-process?
* How steep is the learning curve? How do I get started?
* How can I contribute to SLAB?
Present at CodeFest 2014
Command Query Responsibility Segregation (CQRS) and Event Sourcing (ES) are popular patterns for designing and building large-scale, distributed systems. The patterns & practices team at Microsoft set out on a journey to better understand these patterns and the benefits they can provide to developers. In this talk, we’ll review what the team learned along the way and provide insight into how your applications can benefit from these ideas.
This document summarizes key topics around HTML, CSS, JavaScript and Windows 8 development. It discusses the Windows Runtime, navigation patterns, asynchronous programming with promises, memory management, unit testing and the file system API. JavaScript threading, blocking vs non-blocking code, and libraries like jQuery are also covered at a high-level.
This document provides an overview of Command Query Responsibility Segregation (CQRS) and Event Sourcing patterns. It defines CQRS as separating reads from writes by having separate models for data access. Event Sourcing represents data as a sequence of events, rather than as a current state. The document then discusses examples of using CQRS with separate read and write data stores. It covers benefits like scalability and integration, as well as lessons learned around testing performance early and avoiding assumptions.
The document discusses techniques for writing better code including writing tests first, decomposing problems, and implementing the minimum code necessary. It recommends searching online for "TDD Research" and references source techniques like Domain Driven Design, Extreme Programming, and Continuous Integration that can help improve code quality and maintainability.
Adtran’s new Ensemble Cloudlet vRouter solution gives service providers a smarter way to replace aging edge routers. With virtual routing, cloud-hosted management and optional design services, the platform makes it easy to deliver high-performance Layer 3 services at lower cost. Discover how this turnkey, subscription-based solution accelerates deployment, supports hosted VNFs and helps boost enterprise ARPU.
What’s New in Web3 Development Trends to Watch in 2025.pptxLisa ward
Emerging Web3 development trends in 2025 include AI integration, enhanced scalability, decentralized identity, and increased enterprise adoption of blockchain technologies.
GDG Cloud Southlake #43: Tommy Todd: The Quantum Apocalypse: A Looming Threat...James Anderson
The Quantum Apocalypse: A Looming Threat & The Need for Post-Quantum Encryption
We explore the imminent risks posed by quantum computing to modern encryption standards and the urgent need for post-quantum cryptography (PQC).
Bio: With 30 years in cybersecurity, including as a CISO, Tommy is a strategic leader driving security transformation, risk management, and program maturity. He has led high-performing teams, shaped industry policies, and advised organizations on complex cyber, compliance, and data protection challenges.
With Claude 4, Anthropic redefines AI capabilities, effectively unleashing a ...SOFTTECHHUB
With the introduction of Claude Opus 4 and Sonnet 4, Anthropic's newest generation of AI models is not just an incremental step but a pivotal moment, fundamentally reshaping what's possible in software development, complex problem-solving, and intelligent business automation.
Agentic AI - The New Era of IntelligenceMuzammil Shah
This presentation is specifically designed to introduce final-year university students to the foundational principles of Agentic Artificial Intelligence (AI). It aims to provide a clear understanding of how Agentic AI systems function, their key components, and the underlying technologies that empower them. By exploring real-world applications and emerging trends, the session will equip students with essential knowledge to engage with this rapidly evolving area of AI, preparing them for further study or professional work in the field.
AI stands for Artificial Intelligence.
It refers to the ability of a computer system or machine to perform tasks that usually require human intelligence, such as:
thinking,
learning from experience,
solving problems, and
making decisions.
Iobit Driver Booster Pro Crack Free Download [Latest] 2025Mudasir
👇👇👇👇✅✅
COPY & PASTE LINK 👉👉👉
https://pcsoftsfull.org/dl
IObit Driver Booster Pro Updating drivers is usually an initial step to avoid hardware failure, system instability, and hidden security vulnerabilities. Update drivers regularly is also an effective way to enhance your overall PC performance and maximize your gaming experience.
In recent years, the proliferation of generative AI technology has revolutionized the landscape of media content creation, enabling even the average user to fabricate convincing videos, images, text, and audio. However, this advancement has also exacerbated the issue of online disinformation, which is spiraling out of control due to the vast reach of social media platforms, sophisticated campaigns, and the proliferation of deepfakes. After an introduction including the significant impact on key societal values such as Democracy, Public Health and Peace, the talk focuses on techniques to detect visual disinformation, manipulated photos/video, deepfakes and visuals out of context. While AI technologies offer promising avenues for addressing disinformation, it is clear that they alone are not sufficient to address this complex and multifaceted problem. Limitations of current AI approaches will be discussed, along with broader human behaviour, societal and financial challenges that must be addressed to effectively combat online disinformation. A holistic approach that encompasses technological, regulatory, and educational interventions, developing critical thought will be finally presented.
Offshore IT Support: Balancing In-House and Offshore Help Desk Techniciansjohn823664
In today's always-on digital environment, businesses must deliver seamless IT support across time zones, devices, and departments. This SlideShare explores how companies can strategically combine in-house expertise with offshore talent to build a high-performing, cost-efficient help desk operation.
From the benefits and challenges of offshore support to practical models for integrating global teams, this presentation offers insights, real-world examples, and key metrics for success. Whether you're scaling a startup or optimizing enterprise support, discover how to balance cost, quality, and responsiveness with a hybrid IT support strategy.
Perfect for IT managers, operations leads, and business owners considering global help desk solutions.
Introducing FME Realize: A New Era of Spatial Computing and ARSafe Software
A new era for the FME Platform has arrived – and it’s taking data into the real world.
Meet FME Realize: marking a new chapter in how organizations connect digital information with the physical environment around them. With the addition of FME Realize, FME has evolved into an All-data, Any-AI Spatial Computing Platform.
FME Realize brings spatial computing, augmented reality (AR), and the full power of FME to mobile teams: making it easy to visualize, interact with, and update data right in the field. From infrastructure management to asset inspections, you can put any data into real-world context, instantly.
Join us to discover how spatial computing, powered by FME, enables digital twins, AI-driven insights, and real-time field interactions: all through an intuitive no-code experience.
In this one-hour webinar, you’ll:
-Explore what FME Realize includes and how it fits into the FME Platform
-Learn how to deliver real-time AR experiences, fast
-See how FME enables live, contextual interactions with enterprise data across systems
-See demos, including ones you can try yourself
-Get tutorials and downloadable resources to help you start right away
Whether you’re exploring spatial computing for the first time or looking to scale AR across your organization, this session will give you the tools and insights to get started with confidence.
Content and eLearning Standards: Finding the Best Fit for Your-TrainingRustici Software
Tammy Rutherford, Managing Director of Rustici Software, walks through the pros and cons of different standards to better understand which standard is best for your content and chosen technologies.
AI in Java - MCP in Action, Langchain4J-CDI, SmallRye-LLM, Spring AIBuhake Sindi
This is the presentation I gave with regards to AI in Java, and the work that I have been working on. I've showcased Model Context Protocol (MCP) in Java, creating server-side MCP server in Java. I've also introduced Langchain4J-CDI, previously known as SmallRye-LLM, a CDI managed too to inject AI services in enterprise Java applications. Also, honourable mention: Spring AI.
SAP Sapphire 2025 ERP1612 Enhancing User Experience with SAP Fiori and AIPeter Spielvogel
Explore how AI in SAP Fiori apps enhances productivity and collaboration. Learn best practices for SAPUI5, Fiori elements, and tools to build enterprise-grade apps efficiently. Discover practical tips to deploy apps quickly, leveraging AI, and bring your questions for a deep dive into innovative solutions.
Droidal: AI Agents Revolutionizing HealthcareDroidal LLC
Droidal’s AI Agents are transforming healthcare by bringing intelligence, speed, and efficiency to key areas such as Revenue Cycle Management (RCM), clinical operations, and patient engagement. Built specifically for the needs of U.S. hospitals and clinics, Droidal's solutions are designed to improve outcomes and reduce administrative burden.
Through simple visuals and clear examples, the presentation explains how AI Agents can support medical coding, streamline claims processing, manage denials, ensure compliance, and enhance communication between providers and patients. By integrating seamlessly with existing systems, these agents act as digital coworkers that deliver faster reimbursements, reduce errors, and enable teams to focus more on patient care.
Droidal's AI technology is more than just automation — it's a shift toward intelligent healthcare operations that are scalable, secure, and cost-effective. The presentation also offers insights into future developments in AI-driven healthcare, including how continuous learning and agent autonomy will redefine daily workflows.
Whether you're a healthcare administrator, a tech leader, or a provider looking for smarter solutions, this presentation offers a compelling overview of how Droidal’s AI Agents can help your organization achieve operational excellence and better patient outcomes.
A free demo trial is available for those interested in experiencing Droidal’s AI Agents firsthand. Our team will walk you through a live demo tailored to your specific workflows, helping you understand the immediate value and long-term impact of adopting AI in your healthcare environment.
To request a free trial or learn more:
https://droidal.com/
20. patchSubversion ResourcesVisualSVNvisualsvn.comeasiest way to get startedTortoiseSVNtortoisesvn.tigris.orgpopular UI for svnSubversion subversion.tigris.orgsvn client and server“Red Bean” Book svnbook.red-bean.comThe manual for SubversionUnfuddleunfuddle.comhosted project management with svn
21. Git Resourcesmsysgitcode.google.com/p/msysgitgit for windowsGit Extensions sourceforge.net/projects/gitextensionsincludes a Visual Studio pluginGitHubgithub.comsocial coding with gitUnfuddleunfuddle.comhosted project management with gitGit Community Book book.git-scm.comthe manual for git
23. General ResourcesEric Sink ericsink.com/scmHow To guide for Source ControlBranching Primer msdn.microsoft.com/library/aa730834primer regarding branching and mergingVisual Guide to Version Controlbetterexplained.com/articles/a-visual-guide-to-version-controlAn excellent overview of source control
#2: SCC – Source Code ControlVC – Version ControlSCM – Software Configuration ManagementMy points here are generally true. Like “root beer is not caffeinated”, then along comes Barq’s.Thanks to Joe Kuemerle (kemerlee) for his presentation on Getting Rid of VSSEric Sink’s excellent blog series
#3: There are surprising benefits to using source control.The history and in particular the comment log help communicate what you were thinking when you wrote the codeIf you know something worked in a previous revision, you can compare the code to help isolate the breaking changesYou can make changes with confidence, knowing that you can always revertAutomation (build server, continuous integration) leads to more free time (thus liberation)Many “best practices” make using source control easier and more meaningfulAdditional benefits that aren’t so surprising:Audit trail/tracebilityCentral store, a known location where the canonical code is stored
#4: “Repository = File System * Time”Eric Sink, http://www.ericsink.com/scm/scm_repositories.htmlThis means that changes are additive, not destructive. Even when you delete, it’s not really destructive.The repository should be an accurate representation of the history of the code base. Mistakes and all.Optimized for storing text files, not necessarily for binaryTwo popular types of SCC, distributed and server based.
#5: aka Working Folder, Working Directory, or SandboxThis is where you put the stuff on your machine.with svn, you would use svn checkoutYou want to keep the value of your working copy low.As you write code and make changes, you are increasing the value of you working copy. When you commit those changes to the repository, you make your working copy worthless again.That’s what you want.You should be able to delete the working copy (or have a crash) and never lose more than a couple of hours of work.Whoa, is that a shift in culture?Let’s move on to workflow…
#6: This is the more conservative, traditional model.It is used by VSS. Ugh.Obeys these rules:Working copy is always read-onlyDevs must check out (thus locking) a file in order to edit itCheckouts are exclusiveProsNo chance of conflictsDevs know what other devs are doingConsCan’t work in parallelRequires access to a central server
#7: This is the more conservative, traditional model.It is used by CVS, SVN.This is my preferred model.Obeys these rules:Working copy is never read-onlyDevs can edit anything Devs are responsible for resolving conflicts. (Meaning that they must update and resolve before committing).ProsWorks well when offlineAllows parallel workLess mental overhead for devs (80% of the time)ConsNo visibility into what other devs are doingResolving conflicts (not a big deal for 80% of the time)
#8: Regardless of the workflow you choose, you should always comment your commits.Why?To reveal the intention of your changes.So write meaningful comments. (It’s easy to be lazy).Also, many issue tracking scan the comments and do cool things. (Like close issues, etc.)
#9: Assuming Edit, Merge, Commit model…There will be conflicts.Most tools will perform an “automerge” to resolve conflicts.Do you trust this? My experience has made me say “Yes”.However, sometimes manual intervention is needed.For example, edits to the same line in the same file. Or edits to a binary file.This is when you use a diff tool to merge the file and resolve the conflict.
#10: A branch is another line of development that has a common history with the primary line of development.Often the primary line of development is called the “trunk”, or “main” or “master”.You want r2 and r1.01 to have a common history, but you don’t want to pollute the maintenance branch (1.01) with unfinished features from r2.The mechanics and semantics of branches differ on different platforms.Some use “folders” or repository paths to designate branches. (svn,tfs)Other define a “namespace” or “universe” that must be provided. It is not part of the path. (cvs, and maybe git…) I’m also not certain on the proper term for this…But what about the bug fixes from 1.01? We want those back in 2.0, right? How do we do that?
#11: Merging a branch is sorta the whole point of creating it…This usually requires developer involvement, but that’s okay. The benefit is worth it.Always review the results of a merge before committing it back to the trunk.Svn and other system have the concept of a “merge history”. If you are doing merges on a regular basis, this can really help out.
#12: Creating a tag (or label) is much the same as creating a new branch. At least it is with svn.The difference comes in how you treat the tag. A tag is used to mark a special or significant moment in the history of the code. For example, an RTM or immediately prior to major changes.Give an example of NHProf.Tags, unlike branches, shouldn’t really be added to. You should be confident when you retrieve a tag that it represents what the code really looked like at that moment.Mention the standard repository structure: branches, tags, trunk
#13: Head – the most recent changeset on a line of development (trunk, branch, etc.)Revision – a point in repository or a file’s history. In svn, the repository’s revision number is updated after each commit.Atomic commit - all of the changes in a commit or checkin either succeed or fail. This is very important for ensuring a consistent state of the repository.Changeset – the set of changes in a commit. In other words, all of the changes (adds, modifications, deletes) that are part of a single commit or checkin.Blame – a tool that allows you to see who “owned” a given line on given file for a particular revision. Patch – when a user doesn’t have commit rights to a repository, they can create a single file that contains all of the changes that they have made to their working copy. This “patch” is then given to someone with commit rights. The committer “applies” the patch to their working copy, reviews the changes, and makes the commit when appropriate. This is a common practice in the open source community.