Continuous integration involves developers frequently integrating code changes into a shared repository. Each change is then verified through an automated build and testing process to quickly detect issues. This helps ensure code quality by making the build and test process part of every code change. Key aspects of continuous integration include source control management, automated builds, and tools for testing and analyzing code quality.
Continuous Testing refers to the automated process of testing software changes frequently and early in the development process. It aims to provide fast feedback on code quality and reduce risks before code is deployed. Continuous Testing relies on test automation and is part of continuous delivery. It uses tools like Git, Java, Gradle, Jenkins, Docker, Terraform, and testing frameworks to automate building, deploying to temporary infrastructure, running tests, and destroying infrastructure on each code change. This allows testing at every stage and fast identification of issues prior to production deployment.
This presentation has been prepared to share knowledge about JetBrains UpSource tool usage on HTML project for back-end developers. Also code review process description has been provided to share good/bad experience of code review procedure.
Continuous integration (CI) is a software development practice that requires developers to integrate code into a shared repository multiple times per day, with each check-in triggering an automated build to detect problems early. CI benefits include avoiding integration issues at release time and spending less time on deployment activities. CI involves setting up a CI server with tools to automatically get the latest code, build, run tests, and notify results. Common tasks that can be automated through CI include building, running tests, reporting defects, notifying results, and deploying stable builds.
The document summarizes several software testing tools:
- Abbot provides automated testing of Java GUI components, allowing tests to be run from code or scripts.
- Anteater is a framework for testing web applications and XML web services using Ant build scripts.
- Apodora automates functional testing of web applications through programmatic browser control.
- GNU/LDTP tests GNOME and other Linux desktop applications via accessibility libraries and test case recording.
- httest is a scriptable HTTP client/server for testing and benchmarking web applications.
Android Test Driven Development & Android Unit Testingmahmoud ramadan
This document discusses test driven development (TDD) using JUnit and Mockito for Android. It defines TDD, explains the benefits which include automated testing and improved code quality. It provides examples of using JUnit for unit testing like parametric testing and test lifecycles. It also explains how to use Mockito to mock dependencies and verify interactions through stubbing and spying. The document emphasizes that TDD leads to more modular, flexible and maintainable code.
Software Testing Tools are used to test the software fast which is done by Software Tester or Automation Software Tester. Their is too many types of Automation Tools which is used by Software Testing Companies.
Luis Correia - Instituto de Informática - OSL19marketingsyone
Title: Open Source in Automated Testing.
By using Open Source Projects as the foundation of our internal Test Framework, it is possible to avoid vendor tool lock-in. Since the same language is spoken as the testing teams and by better understand their problems, as well as being closer to them, it is posisble to deliver more value. This talk is all about how to built a Framework that helps teams create whole automated test suits in a simple and easy way.
Continuous integration (CI) with TeamCity automates the software building and testing process. It allows developers to check in code frequently and have builds run automatically to detect issues early. TeamCity monitors source code repositories for changes, builds the code, and runs tests on each change. This helps ensure all code components work together, coding standards are followed, and tests are passing. CI with TeamCity provides benefits like reduced risks from early defect detection, increased visibility into the project, and confidence in the software.
Continuous Testing refers to the automated process of testing software changes frequently and early in the development process. It aims to provide fast feedback on code quality and reduce risks before code is deployed. Continuous Testing relies on test automation and is part of continuous delivery. It uses tools like Git, Java, Gradle, Jenkins, Docker, Terraform, and testing frameworks to automate building, deploying to temporary infrastructure, running tests, and destroying infrastructure on each code change. This allows testing at every stage and fast identification of issues prior to production deployment.
This presentation has been prepared to share knowledge about JetBrains UpSource tool usage on HTML project for back-end developers. Also code review process description has been provided to share good/bad experience of code review procedure.
Continuous integration (CI) is a software development practice that requires developers to integrate code into a shared repository multiple times per day, with each check-in triggering an automated build to detect problems early. CI benefits include avoiding integration issues at release time and spending less time on deployment activities. CI involves setting up a CI server with tools to automatically get the latest code, build, run tests, and notify results. Common tasks that can be automated through CI include building, running tests, reporting defects, notifying results, and deploying stable builds.
The document summarizes several software testing tools:
- Abbot provides automated testing of Java GUI components, allowing tests to be run from code or scripts.
- Anteater is a framework for testing web applications and XML web services using Ant build scripts.
- Apodora automates functional testing of web applications through programmatic browser control.
- GNU/LDTP tests GNOME and other Linux desktop applications via accessibility libraries and test case recording.
- httest is a scriptable HTTP client/server for testing and benchmarking web applications.
Android Test Driven Development & Android Unit Testingmahmoud ramadan
This document discusses test driven development (TDD) using JUnit and Mockito for Android. It defines TDD, explains the benefits which include automated testing and improved code quality. It provides examples of using JUnit for unit testing like parametric testing and test lifecycles. It also explains how to use Mockito to mock dependencies and verify interactions through stubbing and spying. The document emphasizes that TDD leads to more modular, flexible and maintainable code.
Software Testing Tools are used to test the software fast which is done by Software Tester or Automation Software Tester. Their is too many types of Automation Tools which is used by Software Testing Companies.
Luis Correia - Instituto de Informática - OSL19marketingsyone
Title: Open Source in Automated Testing.
By using Open Source Projects as the foundation of our internal Test Framework, it is possible to avoid vendor tool lock-in. Since the same language is spoken as the testing teams and by better understand their problems, as well as being closer to them, it is posisble to deliver more value. This talk is all about how to built a Framework that helps teams create whole automated test suits in a simple and easy way.
Continuous integration (CI) with TeamCity automates the software building and testing process. It allows developers to check in code frequently and have builds run automatically to detect issues early. TeamCity monitors source code repositories for changes, builds the code, and runs tests on each change. This helps ensure all code components work together, coding standards are followed, and tests are passing. CI with TeamCity provides benefits like reduced risks from early defect detection, increased visibility into the project, and confidence in the software.
The document provides an overview of Fortify Source Code Analyzer (SCA). It discusses the different analysis phases SCA performs including translation, analysis, and verification. It also describes the various types of analyzers that SCA uses like data flow, control flow, semantic, and structural analyzers. Finally, it outlines the typical commands used to clean, translate, and scan source code with SCA and run an analysis.
This document provides an overview of test automation using Cucumber and Calabash. It discusses using Cucumber to write automated test specifications in plain language and Calabash to execute those tests on Android apps. It outlines the environments, tools, and basic steps needed to get started, including installing Ruby and DevKit, creating Cucumber feature files, and using Calabash APIs to automate user interactions like tapping, entering text, and scrolling. The document also explains how to run tests on an Android app and generate an HTML report of the results.
The presentation on Expanding test horizons with Robot Framework was done during #ATAGTR2017, one of the largest global testing conference. All copyright belongs to the author.
Author and presenter : Kushan Amarasiri
This document discusses test driven development (TDD) and automation for PHP projects. It covers what TDD is, why it should be done, where tests should run, who should adopt TDD, and why unit testing, code coverage, code sniffing and Selenium are important. It also discusses tools for PHP TDD like Xdebug, PHPUnit, PHP_CodeSniffer and IDEs. The document provides examples of writing test cases with the red-green-refactor process and integrating TDD into a build system with automated testing on every code change.
The document discusses various types of test tools used at different stages of testing. It describes tools for test management, requirements management, incident management, configuration management, static testing, static analysis, modeling, test design, test data preparation, test execution, test harness, test comparators, coverage measurement, security testing, dynamic analysis, performance testing, load testing, stress testing, monitoring and thanks the reader. The tools support activities like scheduling tests, tracking bugs, reviewing code, generating test data, automating test execution, measuring code coverage and monitoring system performance.
The document provides an overview of building a first Laravel application. It introduces Laravel and its key concepts like routing, controllers, views and databases. It then guides the reader through building a basic ToDo list application to demonstrate these concepts hands-on. Finally, it discusses next steps like improving the frontend, adding jobs/queues, developing APIs and deploying the application.
This document provides an overview and agenda for a presentation on automation testing using IBM Rational Functional Tester. It discusses what automation testing is, why it is useful, and when it should be implemented. It also addresses common myths about automation testing and provides best practices for setting up a successful automation framework. Finally, it gives an introduction to the features and capabilities of IBM Rational Functional Tester, including the recording and playback process for automated tests.
RFT Tutorial 4 How Do We Record A Script Using Rational Functional Tester - RFTYogindernath Gupta
This tutorial describes the 11 step process for recording a script in Rational Functional Tester (RFT) from IBM. The steps include setting recording options, creating a new script, starting the test application, performing actions, inserting verification points and script commands, and stopping the recording. The recorded script and object map are then written to the project directory.
This document discusses script extensions in TestComplete, which allow users to extend the functionality of the software. Script extensions can create custom record/design time actions, test operations, results operations, and script objects. Script objects are useful for encapsulating code into reusable libraries. Extensions help solve problems like maintaining modularized code across projects and providing building blocks for rapid test development. The document demonstrates how to create a script object extension.
The document discusses automated infrastructure testing. It explains that infrastructure testing involves automating the testing of code, infrastructure as code, and deployed infrastructure. This is done through unit, functional, integration and monitoring tests. The document recommends collaborating with operations and building thorough monitoring and analytics. Automating tests helps ensure battle tested code and infrastructure health. Cloud infrastructure also requires more testing across providers. Lessons include starting with most time consuming tasks and understanding domain concepts.
Test-driven development (TDD) is a software development process where test cases are written before code to define desired functionality, and then code is written to pass those tests. TDD results in simpler and more robust code, less debugging time, and greater confidence in refactoring. The TDD process involves adding a test, running all tests and seeing if the new test fails, writing code to pass the test, rerunning tests, and refactoring code before repeating. TDD helps avoid duplicated code and ensures requirements are met.
Automation testing involves developing and executing tests that can run unattended, comparing actual and expected results. The major objectives of automation testing are to speed up testing, reduce costs and time, and increase quality. Automation testing is faster than manual testing and can test more scenarios. However, high upfront investment is required for tools and training. Both manual and automation testing are needed as automation does not cover all test cases. Popular automation testing tools include Selenium, QTP, and TestComplete.
DevOps is a culture and practice that aims to rapidly build, test, and release software. Continuous integration requires developers to integrate code into a shared repository multiple times a day, with each check-in verified by automated builds to detect problems early. Continuous delivery is the practice of releasing every good build to users. Popular tools for continuous integration include TeamCity, Jenkins, and others.
TestWorks Conf Robot framework - the unsung hero of test automation - Michael...Xebia Nederland BV
The Robot Framework is a generic test automation framework for acceptance test-driven development, that appears to be largely neglected.
Undeservedly so, as it facilitates powerful and yet simple test automation against a variety of interfaces.
It features some distinct advantages when compared to seemingly similar frameworks such as Cucumber or Fitnesse.
This workshop is meant to show you what makes the Robot Framework special and what is has to offer you.
The document discusses the typical stages of a continuous integration and continuous deployment (CI/CD) pipeline including requirement gathering, code development, build automation, code quality monitoring, functional testing automation, performance testing automation, security testing automation, and automated deployment. The goal of a CI/CD pipeline is to enable fast, frequent, and smooth software deployments.
Code review is recommended when code contains complex business logic, external API changes, or high risk of introducing bugs. It helps reduce bugs by having another developer review changes before merging. Effective code review involves over-the-shoulder reviews or pair programming to catch issues early, as well as unit and integration tests to prevent regressions.
Zalenium - How to run Selenium Script using Docker and Selenium GridMoataz Nabil
Moataz Nabil presented on using Zalenium to run Selenium scripts across multiple browsers and machines using Docker and Selenium Grid. Zalenium provides a dynamic Selenium Grid that scales using docker-selenium containers and can send non-supported capabilities to cloud testing providers. It is simple to set up, getting a grid running in a few seconds. Zalenium also provides live previews and recorded videos of test runs for debugging. Moataz demonstrated Zalenium's one line installer, enabling Sauce Labs integration, live preview dashboard, and when Zalenium would be useful to use, such as for local development, CI environments, or combining with cloud testing providers.
SonarQube is an open source platform for continuously monitoring code quality. It detects bugs, vulnerabilities, and code smells based on configured quality rules and profiles. Projects can define quality gates that check thresholds for metrics like issues, coverage, and duplications to flag the quality status as passed, warning, or failed. SonarQube allows comparing metrics across versions to track quality over time and supports code processes like nightly and pull request analysis. A community provides support through rule and profile updates, new plugins, and biweekly meetings to discuss quality concerns.
Sencha Roadshow 2017: Best Practices for Implementing Continuous Web App TestingSencha
Learn how to create end-to-end functional tests quickly across multiple browsers simultaneously and scale the automated test suite to over thousands of test cases and cross-browser combinations for a complete regression cycle. We will demonstrate how we are able to locate a component, generate test code, and execute tests from TeamCity.
TechTalk 2021: Peran IT Security dalam Penerapan DevOpsDicodingEvent
Di Indonesia, 19,4% perusahaan sudah mulai menggunakan layanan cloud publik. Stapi sering kali saat perusahan sudah mengadopsi cloud, mereka baru menyadari betapa rumitnya penerapan cloud. Akibatnya, banyak perusahaan yang stuck dalam operasional aplikasi yang baru ini.
Hadirlah DevOps yang memberi layanan lebih cepat dan mendorong inovasi sekaligus meningkatkan produktivitas, komunikasi, dan keterlibatan karyawan. Tapi hadirnya layanan yang lebih cepat membuat risiko dalam penerapan aplikasi meningkat sebesar 53% upaya pencurian data menyasar aplikasi itu sendiri. Oleh karena itu, sangat penting bagi perusahaan untuk mengubah mindset dari menerapkan keamanan untuk kepatuhan ke metode yang lebih proaktif dengan memanfaatkan prinsip-prinsip DevOps dalam tool dan proses keamanan mereka.
Hmm jadi penasaran bagaimana sih memaksimalkan peran keamanan dalam penerapan Devops supaya berjalan dengan lacar? Hal ini akan kita bahas bersama 2 orang pembicara yang expert dibidangnya, yaitu Rei Munisati (Head of IT Security & Risk Compliance, Home Credit Indonesia) dan Taro Lay (Co-Founder Kalama Cyber Security) pada Tech Talk 2021 Live dengan tema "Peran IT Security dalam Penerapan DevOps."
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, 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.
The document provides an overview of Fortify Source Code Analyzer (SCA). It discusses the different analysis phases SCA performs including translation, analysis, and verification. It also describes the various types of analyzers that SCA uses like data flow, control flow, semantic, and structural analyzers. Finally, it outlines the typical commands used to clean, translate, and scan source code with SCA and run an analysis.
This document provides an overview of test automation using Cucumber and Calabash. It discusses using Cucumber to write automated test specifications in plain language and Calabash to execute those tests on Android apps. It outlines the environments, tools, and basic steps needed to get started, including installing Ruby and DevKit, creating Cucumber feature files, and using Calabash APIs to automate user interactions like tapping, entering text, and scrolling. The document also explains how to run tests on an Android app and generate an HTML report of the results.
The presentation on Expanding test horizons with Robot Framework was done during #ATAGTR2017, one of the largest global testing conference. All copyright belongs to the author.
Author and presenter : Kushan Amarasiri
This document discusses test driven development (TDD) and automation for PHP projects. It covers what TDD is, why it should be done, where tests should run, who should adopt TDD, and why unit testing, code coverage, code sniffing and Selenium are important. It also discusses tools for PHP TDD like Xdebug, PHPUnit, PHP_CodeSniffer and IDEs. The document provides examples of writing test cases with the red-green-refactor process and integrating TDD into a build system with automated testing on every code change.
The document discusses various types of test tools used at different stages of testing. It describes tools for test management, requirements management, incident management, configuration management, static testing, static analysis, modeling, test design, test data preparation, test execution, test harness, test comparators, coverage measurement, security testing, dynamic analysis, performance testing, load testing, stress testing, monitoring and thanks the reader. The tools support activities like scheduling tests, tracking bugs, reviewing code, generating test data, automating test execution, measuring code coverage and monitoring system performance.
The document provides an overview of building a first Laravel application. It introduces Laravel and its key concepts like routing, controllers, views and databases. It then guides the reader through building a basic ToDo list application to demonstrate these concepts hands-on. Finally, it discusses next steps like improving the frontend, adding jobs/queues, developing APIs and deploying the application.
This document provides an overview and agenda for a presentation on automation testing using IBM Rational Functional Tester. It discusses what automation testing is, why it is useful, and when it should be implemented. It also addresses common myths about automation testing and provides best practices for setting up a successful automation framework. Finally, it gives an introduction to the features and capabilities of IBM Rational Functional Tester, including the recording and playback process for automated tests.
RFT Tutorial 4 How Do We Record A Script Using Rational Functional Tester - RFTYogindernath Gupta
This tutorial describes the 11 step process for recording a script in Rational Functional Tester (RFT) from IBM. The steps include setting recording options, creating a new script, starting the test application, performing actions, inserting verification points and script commands, and stopping the recording. The recorded script and object map are then written to the project directory.
This document discusses script extensions in TestComplete, which allow users to extend the functionality of the software. Script extensions can create custom record/design time actions, test operations, results operations, and script objects. Script objects are useful for encapsulating code into reusable libraries. Extensions help solve problems like maintaining modularized code across projects and providing building blocks for rapid test development. The document demonstrates how to create a script object extension.
The document discusses automated infrastructure testing. It explains that infrastructure testing involves automating the testing of code, infrastructure as code, and deployed infrastructure. This is done through unit, functional, integration and monitoring tests. The document recommends collaborating with operations and building thorough monitoring and analytics. Automating tests helps ensure battle tested code and infrastructure health. Cloud infrastructure also requires more testing across providers. Lessons include starting with most time consuming tasks and understanding domain concepts.
Test-driven development (TDD) is a software development process where test cases are written before code to define desired functionality, and then code is written to pass those tests. TDD results in simpler and more robust code, less debugging time, and greater confidence in refactoring. The TDD process involves adding a test, running all tests and seeing if the new test fails, writing code to pass the test, rerunning tests, and refactoring code before repeating. TDD helps avoid duplicated code and ensures requirements are met.
Automation testing involves developing and executing tests that can run unattended, comparing actual and expected results. The major objectives of automation testing are to speed up testing, reduce costs and time, and increase quality. Automation testing is faster than manual testing and can test more scenarios. However, high upfront investment is required for tools and training. Both manual and automation testing are needed as automation does not cover all test cases. Popular automation testing tools include Selenium, QTP, and TestComplete.
DevOps is a culture and practice that aims to rapidly build, test, and release software. Continuous integration requires developers to integrate code into a shared repository multiple times a day, with each check-in verified by automated builds to detect problems early. Continuous delivery is the practice of releasing every good build to users. Popular tools for continuous integration include TeamCity, Jenkins, and others.
TestWorks Conf Robot framework - the unsung hero of test automation - Michael...Xebia Nederland BV
The Robot Framework is a generic test automation framework for acceptance test-driven development, that appears to be largely neglected.
Undeservedly so, as it facilitates powerful and yet simple test automation against a variety of interfaces.
It features some distinct advantages when compared to seemingly similar frameworks such as Cucumber or Fitnesse.
This workshop is meant to show you what makes the Robot Framework special and what is has to offer you.
The document discusses the typical stages of a continuous integration and continuous deployment (CI/CD) pipeline including requirement gathering, code development, build automation, code quality monitoring, functional testing automation, performance testing automation, security testing automation, and automated deployment. The goal of a CI/CD pipeline is to enable fast, frequent, and smooth software deployments.
Code review is recommended when code contains complex business logic, external API changes, or high risk of introducing bugs. It helps reduce bugs by having another developer review changes before merging. Effective code review involves over-the-shoulder reviews or pair programming to catch issues early, as well as unit and integration tests to prevent regressions.
Zalenium - How to run Selenium Script using Docker and Selenium GridMoataz Nabil
Moataz Nabil presented on using Zalenium to run Selenium scripts across multiple browsers and machines using Docker and Selenium Grid. Zalenium provides a dynamic Selenium Grid that scales using docker-selenium containers and can send non-supported capabilities to cloud testing providers. It is simple to set up, getting a grid running in a few seconds. Zalenium also provides live previews and recorded videos of test runs for debugging. Moataz demonstrated Zalenium's one line installer, enabling Sauce Labs integration, live preview dashboard, and when Zalenium would be useful to use, such as for local development, CI environments, or combining with cloud testing providers.
SonarQube is an open source platform for continuously monitoring code quality. It detects bugs, vulnerabilities, and code smells based on configured quality rules and profiles. Projects can define quality gates that check thresholds for metrics like issues, coverage, and duplications to flag the quality status as passed, warning, or failed. SonarQube allows comparing metrics across versions to track quality over time and supports code processes like nightly and pull request analysis. A community provides support through rule and profile updates, new plugins, and biweekly meetings to discuss quality concerns.
Sencha Roadshow 2017: Best Practices for Implementing Continuous Web App TestingSencha
Learn how to create end-to-end functional tests quickly across multiple browsers simultaneously and scale the automated test suite to over thousands of test cases and cross-browser combinations for a complete regression cycle. We will demonstrate how we are able to locate a component, generate test code, and execute tests from TeamCity.
TechTalk 2021: Peran IT Security dalam Penerapan DevOpsDicodingEvent
Di Indonesia, 19,4% perusahaan sudah mulai menggunakan layanan cloud publik. Stapi sering kali saat perusahan sudah mengadopsi cloud, mereka baru menyadari betapa rumitnya penerapan cloud. Akibatnya, banyak perusahaan yang stuck dalam operasional aplikasi yang baru ini.
Hadirlah DevOps yang memberi layanan lebih cepat dan mendorong inovasi sekaligus meningkatkan produktivitas, komunikasi, dan keterlibatan karyawan. Tapi hadirnya layanan yang lebih cepat membuat risiko dalam penerapan aplikasi meningkat sebesar 53% upaya pencurian data menyasar aplikasi itu sendiri. Oleh karena itu, sangat penting bagi perusahaan untuk mengubah mindset dari menerapkan keamanan untuk kepatuhan ke metode yang lebih proaktif dengan memanfaatkan prinsip-prinsip DevOps dalam tool dan proses keamanan mereka.
Hmm jadi penasaran bagaimana sih memaksimalkan peran keamanan dalam penerapan Devops supaya berjalan dengan lacar? Hal ini akan kita bahas bersama 2 orang pembicara yang expert dibidangnya, yaitu Rei Munisati (Head of IT Security & Risk Compliance, Home Credit Indonesia) dan Taro Lay (Co-Founder Kalama Cyber Security) pada Tech Talk 2021 Live dengan tema "Peran IT Security dalam Penerapan DevOps."
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, 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 summarizes upcoming CSS features like Box Alignment Level 3, CSS Grid Layout, CSS Shapes, CSS Feature Queries, and CSS Custom Properties. It explains what each feature does at a high level and provides example code snippets. The document also encourages developers to get involved by filing issues on browser bug trackers, requesting new features, and creating blog posts/demos to help drive adoption of these new CSS specifications.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
My books- Hacking Digital Learning Strategies http://hackingdls.com & Learning to Go https://gum.co/learn2go
Resources at http://shellyterrell.com/classmanagement
The reality for companies that are trying to figure out their blogging or content strategy is that there's a lot of content to write beyond just the "buy now" page.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
Continuous Integration and development environment approachAleksandr Tsertkov
Continuous integration provides quick feedback on recent code changes through automated builds run regularly from a CI server. Each build has a status of success or failure and publishes artifacts like binaries, test results, and metrics. Peer code review helps improve code quality by having developers systematically review each other's code in small teams using tools like Reviewboard, Crucible, and CodeCollaborator. The engineering environment approach presented utilizes dedicated servers for remote development, with components like Subversion for version control, CruiseControl for continuous integration, and Crucible for peer review to facilitate collaboration.
Continuous integration is a practice where developers integrate code changes frequently from the main code repository. This allows for multiple integrations per day. An automated build is run on each check-in, including running tests to detect errors early. Hudson is a free continuous integration tool written in Java that runs builds, tests, and reports issues. It integrates with source control and build tools via plugins. Eclipse plugins can also be built with Hudson and Buckminster to automate their creation and publication.
This document discusses a real world software development methodology that focuses on iterative deployments, continuous integration, analysis, and testing. It emphasizes the importance of proper analysis to ensure the software solves problems, continuous integration through source control, automated builds, and deployment, as well as the critical role of testing throughout the development process. Key aspects of the methodology include unit testing, code coverage, code analysis, deployment scripts, and using a continuous integration server to automate the process.
Continuous integration and delivery for java based web applicationsSunil Dalal
This document discusses continuous integration and delivery for Java web applications using Jenkins, Gradle, and Artifactory. It defines continuous integration and delivery and explains why they are important. It outlines the workflow and steps involved, including using source control, building and testing with Jenkins and Gradle, storing artifacts in Artifactory, running code analysis with tools like SonarQube, and deploying to test and production. Finally, it addresses some common questions around plugins, versioning, rollbacks, and build frequency.
This document discusses automating the DevOps process for a legacy system at Hertz using various tools. It proposes automating build, test, and deployment steps using Jenkins, Git, and scripts to safely and reliably deliver code changes. The document also outlines the scope of automation in the software development pipeline, including continuous integration, continuous delivery, infrastructure as code, monitoring, and security/compliance. Finally, it proposes combining Tekton and ArgoCD to build a CI/CD workflow leveraging serverless applications, with Tekton handling CI and ArgoCD adding CD via GitOps to deploy the application on an OpenShift cluster.
Part 2 improving your software development v1.0Jasmine Conseil
The document discusses improving software development processes through continuous integration using agile tools. It describes how build tools can automate various parts of the software development process, including compiling, testing, packaging, and deploying code. Maven is presented as a common build tool that supports a well-defined development lifecycle. Continuous integration principles are explained, emphasizing how integrating code changes frequently and running automated builds can reduce integration issues. Hudson is introduced as an open-source continuous integration server that supports automation and provides feedback. The JasForge project aims to manage agile tools like Hudson in an integrated platform to control the software development process.
Lets talk about CI CD Pipeline in Agile Poonam Panday
Continuous integration is a practice where developers integrate code into a shared repository frequently, such as daily, and automated builds and tests are used to detect errors. Continuous deployment is an approach where teams release software in short cycles to ensure it can be reliably released at any time. The principles of continuous integration and continuous deployment (CI/CD) include automating all build, test and deployment processes; keeping everything in version control; committing code frequently; and not merging broken code. CI/CD aims to release software faster through automation and frequent integration and deployment.
XP teams try to keep systems fully integrated at all times, and shorten the feedback cycle to minutes and hours instead of weeks or months. The sooner you know, the sooner you can adapt.
Watch our record for the webinar "Continuous Integration" to explore how Azure DevOps helps us in achieving continuous feedback using continuous integration.
Using Continuous Integration To Ensure Project Health Newbartlowe
This document discusses the principles and practices of continuous integration. Continuous integration involves developers integrating code changes frequently, at least daily, and having an automated build and test process to verify the code integration and detect errors early. It emphasizes source control, automated builds, self-testing builds, automated deployment, and using a continuous integration server to manage the process.
Presentation 1 open source tools in continuous integration environment v1.0Jasmine Conseil
The document discusses open source tools that can be used in a continuous integration environment. It provides an overview of build tools like Ant and Maven, continuous integration servers, and how tools like Hudson and Archiva can help manage builds, artifacts, and the development process in an agile workflow.
Imagine we had the power to understand the code before its complied or embedding a backdoor or even stealing legitimate certificates of a well known vendor and using them to sign malware?
Join me in the journey of exploring security issues that tend to happen during Build Time in typical enterprise environments.
Continuous Integration is a software development practice where developers regularly merge their work into a central repository. This triggers an automated build and test of the code. If the build fails, developers are immediately notified. There are typically five stages of adopting Continuous Integration - from just committing code occasionally to triggering automated builds and tests with every commit and deploying to production. Jenkins is an open source tool that supports Continuous Integration. It allows developers to easily set up CI/CD pipelines with features like automated testing, code quality reporting, deployment to staging environments and more.
Continuous Integration is a software development practice where developers regularly merge their work into a central repository. When code is committed, an automated build is triggered to check that new code does not break the existing code base. There are typically five stages of adopting Continuous Integration: 1) a few manual commits and builds, 2) nightly automated builds, 3) builds triggered with every commit, 4) code quality metrics added to builds, 5) automated deployment to staging environments. Continuous Integration helps catch bugs early in the development process and ensures code quality.
Presentation given to Docker Blacksburg Meetup on Feb 8, 2017
Provided a little background to why CI/CD is important. Then, how to actually build it out. Finished off with a lab using GitHub, Docker Hub, and Play with Docker.
Delivering Quality Software with Continuous IntegrationAspire Systems
Learn about:
1> Best Practices In Distributed Environment
2> Potential Challenges Of Not Following CI
3> Tools & Frameworks That Help You Implement CI Better
The work of development team is very sophisticated and fragile process. Every boring, repeatable and error prone factor lowers team's velocity. This is why we invested a time, which weren't related to programming into process automation.
Smart development environments are based mainly on Open Source tools. The core is private GitHub repository. It's responsible for code increments, code reviews and releases versioning. Additionaly there is Jenkins, Ant, PHP QA tools. Furthermore code review process has been automated, as well as an application deployments, notifications and progress measurement.
The set works perfectly with Symfony2, Silex and other PHP applications.
Presentation will contain real life examples, with configurations and code snippets.
This document defines a CI/CD pipeline for PHP applications using AWS services like CodeBuild and CodePipeline. It discusses setting up continuous integration with a source control system, build system, testing, code reviews, and branching strategies. For continuous delivery, it covers deploying code changes automatically to a testing environment, enabling manual approvals, and deployment strategies like blue/green deployments using Elastic Beanstalk. The goal is to define a simple yet robust CI/CD pipeline to find bugs quickly, improve quality, and reduce release times.
Continuous integration is a development practice that requires developers to integrate code into a shared repository multiple times a day, with each check-in verified by an automated build to detect problems early. Continuous integration differs from continuous delivery, which aims to deliver high quality software quickly, and continuous deployment, which automatically releases software passing automated tests into production. Continuous integration brings benefits like reducing integration issues and allowing faster software delivery by catching issues early.
This document discusses various tools and procedures for ensuring high code quality in Java development, including:
- Enforcing coding standards through code reviews and unit testing as part of the software development lifecycle.
- Measuring software quality through metrics like ease of testing and number of defects.
- Using static code analysis tools like FindBugs to identify issues and ensure compliance with best practices.
- Monitoring runtime performance with tools like JConsole and VisualVM.
Similar to Introduction to Continuous integration (20)
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
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Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
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TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
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Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
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During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
3. Continuous Integration How good is our code? I think it’s pretty good… Does the code work? I tested it, it seems to do what it should… Does the code have bugs? I hope not…
4. Continuous Integration Need to simplify complex integration of code Need a good criteria for measuring our code quality Need to have “Self-testing” code
5. “a software development practice where members of a team integrate their work frequently, leading to multiple integrations per day. Each integration is verified by an automated build (including test) to detect integration errors as quickly as possible. Continuous Integration
6. Developer checks in new code An automated build is kicked off with all latest code changes Unit tests and [optional] other tools are executed Developer receives a notification if the build succeeded or failed [optional] Failing commits are rejected from the source code repository Continuous Integration
7. The code should build directly from source control The code should be built in a single automated command This makes it easier in multiple scenarios: New developer joins the team Code is built automatically on a build server Automated Builds
8. Build script can be created using standard technologies MSBuild Batch file Multiple build configurations should be defined “Small” build that runs on every check in Should be very fast “Big” build that runs nightly Can have a bigger scope (build MSI, run integration tests) Automated Builds
9. Many tools can be integrated into the build process Some examples (.NET): Code Coverage – Coverage (in %) by unit tests. Code Duplications – find duplicated code Code Analysis StyleCop – Find styling errors in code FXCop – Static code analysis Tools
12. Define a set of styling rules: These can be run from the IDE or from a build script Show warnings/errors when compiling: Tools - StyleCop
13. Many tools can be integrated into the build process Some examples (.NET): Code Coverage – Coverage (in %) by unit tests. Code Duplications – find duplicated code Code Analysis StyleCop – Find styling errors in code FXCop – Static code analysis Tools – FXCop
14. Older VCS tools are centralized (central server model) Subversion, ClearCase Centralized tools suffer from a few issues: Network latency (server needed for most operations). Submitting “half-ready” code can break other people’s work. DVCS (Git)
15. Many modern VCS tools are distributed This means a central server is optional Each developer gets a copy of the entire repository A central server can still be setup Used as a sync point for team members DVCS (Git)
16. Git offers a command line tool (comes from Linux) On Windows: Shell Extension Visual Studio integration using plugins DVCS (Git)
19. CI Implementation #1 CI Server Source Control (Git) TeamCity Build Agent CI Build Nightly Build
20. CI Implementation #1 What we gained: Basic framework for more complicated tasks Source control contains a “clean” copy of the code Fast notification on build issues Starting to incorporate basic unit tests Installer (.MSI) creation is automatic Using a modern source control system (Git)
21. CI Implementation #2 CI Server Git CI Build Build Agent Build Agent Build Agent … Nightly Build VM Server Win7 x64 Win7 Win XP …
Editor's Notes
This presentation’s title is “Continuous Integration” and is meant for introducing the basic concepts of CI to a development team.As CI is tightly related to other concepts (such as automated builds, unit testing), these will be brought here as well.
Main agenda for this presentation.Continuous Integration is directly tied with other concepts such as unit testing, automated build and tools that perform various verifications to maintain high code quality.Although not directly related, I’d like to present Git and its advantages as a Distributed version control system (DVCS).
One problem with measuring how ‘good’ a code project is, is that often the measurement is objective and not based on solid data.Team members integrate their work not often enough, leading to complex merging and integration of their work.Lack of code that tests the codebase (unit tests) brings us to a state that we “believe” our code is working, however as we progress and the project becomes more complex, we cannot be certain that everything is works as expected.
What we would like to achieve is:Have criteria to tell us if our project is doing good.Integrate often to prevent complicated integration points between developers on a team.Create small pieces of code that test and exercise the code of the project we’re working on.
Definition of Continuous Integration, as brought by Martin Fowler’s essay on the subject.The full essay can be found here: http://martinfowler.com/articles/continuousIntegration.html
Without CI, a developer had to update to latest code before committing, and verify (locally) that all source code compiles and tests are OK.Using CI, the build server will build the project from the latest code checked in, and report if anything went wrong.Typically this is done quickly enough (recommended is less than 10 minutes).
Automated builds are what allows CI to be effective.It is essential that the entire project can be built using some script in a single command.Setting this up involves a few other steps, such as keeping ALL files related to building the project under source control (for example, external 3rd party libraries, configuration files, images, etc.).This removes the need to do manual work that only certain team members have or the risk of a human error when running any manual step.This also has an added value that new team members can directly build the project without installing any software on their environments, and build servers do not need any special prerequisite software for running a build.
Multiple technologies exist for constructing a build script (simple batch files, MSBuild, Nant).Upon check in (commit) to the source control system, the smallest subset of actions need to be performed, in order to deliver results as fast as possible.To this end, it is typical to set up multiple building scenarios that are invoked at different times. For example, a “small” build runs for every check in to source control.Every night a “Full” build runs that builds an MSI, documentation runs an extensive test suite, etc.
These are examples of tools that are very easy to integrate into the build.Some of them ship with an MSBuild task to be directly invoked from a build script.Most also integrate well into popular CI server software.
Code coverage shows in numbers how much of the code is actually covered.A typical scenario for this is when running unit tests, monitoring the actual code that runs during the tests.This generates a report of how much of the codebase was actually exercised during unit testing.A report is presented showing how many classes were used, methods were called, etc.
Source code highlighting shows which lines of code get called or not.This can also be integrated into the IDE (Visual Studio) to show what part of the code was used.Areas shown in red should be exercised by a unit test.
StyleCop is a tool that scans the code, enforcing a set of predefined rules.There are many styling rules, not all of them are mandatory for a consistent and high quality code.Once a set of rules is defined, it is stored in a StyleCop.settings file.This file can be placed at the root folder of a project, affecting all folders under it.StyleCop can be configured to output build errors instead of warnings. This can ensure all code checked into the source control repository is consistent with the team’s rules.
These are examples of tools that are very easy to integrate into the build.Some of them ship with an MSBuild task to be directly invoked from a build script.Most also integrate well into popular CI server software.
Older generation VCS tools were mostly centralized. A central server used to hold the master repository.Every action had to pass through this server, making it potentially slow, depending on the networking protocol used, and the proximity to the server.
Modern tools like Git and Hg are distributed.Every developer gets a copy of the entire repository, maintaining it locally.A central server can be setup to sync between team members.In this method, a developer can develop a new feature locally, check in changes as he makes progress.When the code reaches a certain stage where it’s stable enough, the developer can submit (push) the changes to a central server, making it visible for other team members.
Git originates from Linux.On Windows, It can be used in various different ways:Command line interface.Shell (explorer) extensionVisual Studio integration.
Central server, developers access and update it.Taken from: http://progit.org/book/ch5-1.htmlIn centralized systems, there is generally a single collaboration model—the centralized workflow. One central hub, or repository, can accept code, and everyone synchronizes their work to it. A number of developers are nodes — consumers of that hub — and synchronize to that one place (see Figure 5-1).This means that if two developers clone from the hub and both make changes, the first developer to push their changes back up can do so with no problems. The second developer must merge in the first one’s work before pushing changes up, so as not to overwrite the first developer’s changes. This concept is true in Git as it is in Subversion (or any CVCS), and this model works perfectly in Git.If you have a small team or are already comfortable with a centralized workflow in your company or team, you can easily continue using that workflow with Git. Simply set up a single repository, and give everyone on your team push access; Git won’t let users overwrite each other. If one developer clones, makes changes, and then tries to push their changes while another developer has pushed in the meantime, the server will reject that developer’s changes. They will be told that they’re trying to push non-fast-forward changes and that they won’t be able to do so until they fetch and merge. This workflow is attractive to a lot of people because it’s a paradigm that many are familiar and comfortable with.
Taken from: http://progit.org/book/ch5-1.html#integrationmanager_workflowBecause Git allows you to have multiple remote repositories, it’s possible to have a workflow where each developer has write access to their own public repository and read access to everyone else’s. This scenario often includes a canonical repository that represents the “official” project. To contribute to that project, you create your own public clone of the project and push your changes to it. Then, you can send a request to the maintainer of the main project to pull in your changes. They can add your repository as a remote, test your changes locally, merge them into their branch, and push back to their repository. The process works as follow (see Figure 5-2):The project maintainer pushes to their public repository.A contributor clones that repository and makes changes.The contributor pushes to their own public copy.The contributor sends the maintainer an e-mail asking them to pull changes.The maintainer adds the contributor’s repo as a remote and merges locally.The maintainer pushes merged changes to the main repository.This is a very common workflow with sites like GitHub, where it’s easy to fork a project and push your changes into your fork for everyone to see. One of the main advantages of this approach is that you can continue to work, and the maintainer of the main repository can pull in your changes at any time. Contributors don’t have to wait for the project to incorporate their changes — each party can work at their own pace.
For first implementation, an automated build + CI server is setup.Software used:Source Control – GitCI – TeamCity (free for small teams)Build Agent is on the same server as TeamCity. This is the actual component that runs the build. For scalability, many agents can be deployed on additional servers, making it possible to have multiple concurrent builds.Two build configurations are created:CI Build – triggered on every check in to the source control. Very quick (~ 1 minute).Nightly Build – slightly longer, also builds an installer using NSIS build script (~ 5 minutes).
Implementation #1 is not perfect yet, but it gives us a solid framework to build upon.Tasks that were manual before (such as creating an installer) are replaced with a 1-click automatic, repeatable action.A developer submitting new code can receive in ~ 1 minute a notification that his code passed some basic tests and is considered good.
Second implementation expands on the first one.In this example, more build agents are introduced, and can accommodate more concurrent builds by a larger development team.After passing all initial tests, a build is passed on to a VM server, where it is automatically deployed to virtual machines, according to the needs of the built applications.For example, a client application can be deployed to multiple client operating systems, where a set of automated integration tests occur.