Apex world 2018 continuously delivering APEXSergei Martens
This document discusses continuously delivering APEX applications. It outlines managing source code using feature branches and merging into development, test, acceptance, and production branches. Flyway is introduced for database version management and tracking changes. The development process involves locking pages during development, exporting on completion, and merging to remote branches. Integration builds involve checking out code, installing the database with Flyway, importing and exporting APEX, and using Docker and Jenkins for automation and rollback capabilities.
The document discusses concepts related to continuous delivery of software projects including continuous integration, continuous delivery, and continuous deployment. It defines these terms and describes prerequisites and best practices for each. Continuous integration involves regularly merging code changes and running automated tests. Continuous delivery means software can be released to production at any time if it passes testing. Continuous deployment automates the entire delivery process including direct deployment to production. The document outlines example tooling and technologies that can be used to enable these practices for open source Java projects, including code repositories, CI servers, artifact repositories, and deployment targets.
Year in Review: Perforce 2014 Product UpdatesPerforce
Get an overview of all the key capabilities introduced in the Perforce versioning and collaboration platform this year. This is your best chance to catch-up quickly on all our 2014 enhancements.
Continuous Delivery and Micro Services - A SymbiosisEberhard Wolff
Continuous Delivery profits from Micro Services - and the other way round. This presentation shows how the two technologies work together - and how Micro Services can be used to simplify the transition to Continuous Delivery.
A DevOps Journey - An experience report after 6 years of implementing DevOps and Continuous Delivery in Frende Forsikring, a small insurance company in Norway.
The document discusses a Python framework for testing Alfresco extensions. It allows testing REST APIs, UI interactions, and complex scenarios. The framework uses Python and Proboscis for testing, Selenium for browser emulation, and provides wrappers for common REST calls and predefined classes for interacting with Alfresco Share forms. Examples are given of REST API tests, setting up browser-specific UI tests, and testing a workflow dashlet and form.
The document outlines the stages of a software release pipeline including commit, testing, acceptance, promotion, and release stages. Code goes through unit testing, integration testing, acceptance testing, and smoke testing at various stages. If tests pass, the code is promoted to subsequent environments like development, test, and production for user acceptance testing and release.
The document outlines the stages of a software release pipeline including commit, stage, acceptance test, promotion, manual test, and release stages. It details the key steps and activities at each stage such as compile, unit test, static code analysis, integration test, package binaries, deploy to development environments, acceptance testing, and promotion to test and production environments.
Apex world 2018 continuously delivering APEXSergei Martens
This document discusses continuously delivering APEX applications. It outlines managing source code using feature branches and merging into development, test, acceptance, and production branches. Flyway is introduced for database version management and tracking changes. The development process involves locking pages during development, exporting on completion, and merging to remote branches. Integration builds involve checking out code, installing the database with Flyway, importing and exporting APEX, and using Docker and Jenkins for automation and rollback capabilities.
The document discusses concepts related to continuous delivery of software projects including continuous integration, continuous delivery, and continuous deployment. It defines these terms and describes prerequisites and best practices for each. Continuous integration involves regularly merging code changes and running automated tests. Continuous delivery means software can be released to production at any time if it passes testing. Continuous deployment automates the entire delivery process including direct deployment to production. The document outlines example tooling and technologies that can be used to enable these practices for open source Java projects, including code repositories, CI servers, artifact repositories, and deployment targets.
Year in Review: Perforce 2014 Product UpdatesPerforce
Get an overview of all the key capabilities introduced in the Perforce versioning and collaboration platform this year. This is your best chance to catch-up quickly on all our 2014 enhancements.
Continuous Delivery and Micro Services - A SymbiosisEberhard Wolff
Continuous Delivery profits from Micro Services - and the other way round. This presentation shows how the two technologies work together - and how Micro Services can be used to simplify the transition to Continuous Delivery.
A DevOps Journey - An experience report after 6 years of implementing DevOps and Continuous Delivery in Frende Forsikring, a small insurance company in Norway.
The document discusses a Python framework for testing Alfresco extensions. It allows testing REST APIs, UI interactions, and complex scenarios. The framework uses Python and Proboscis for testing, Selenium for browser emulation, and provides wrappers for common REST calls and predefined classes for interacting with Alfresco Share forms. Examples are given of REST API tests, setting up browser-specific UI tests, and testing a workflow dashlet and form.
The document outlines the stages of a software release pipeline including commit, testing, acceptance, promotion, and release stages. Code goes through unit testing, integration testing, acceptance testing, and smoke testing at various stages. If tests pass, the code is promoted to subsequent environments like development, test, and production for user acceptance testing and release.
The document outlines the stages of a software release pipeline including commit, stage, acceptance test, promotion, manual test, and release stages. It details the key steps and activities at each stage such as compile, unit test, static code analysis, integration test, package binaries, deploy to development environments, acceptance testing, and promotion to test and production environments.
The document discusses options for setting up continuous integration for native iOS applications. It explores unit testing libraries like Sentest and gh-unit, functional testing options like UIAutomation, iCuke, and Frank, and static analysis tools like scan-build. While many existing tools were found lacking or difficult to use in a CI environment, Frank was identified as an actively maintained and easy to run functional testing option. The document also mentions concerns about testing push notifications and API interactions that may break with changes.
Database automated build and test - SQL In The City CambridgeRed Gate Software
David Atkinson gives a presentation on automated database build and testing, or continuous integration (CI), for databases. He explains that CI ensures database code is always working by automatically building and testing databases on each change. The demo shows two developers using CI to incrementally keep a test database up to date, run automated tests, and generate deployment scripts. When a fix introduces a breaking change, they address it by adding a custom migration script to the deployment package to safely update data during deployment.
This document discusses Continuous Integration (CI), including its definition, workflow, popular tools, requirements, principles, functionalities, and Jenkins configuration. CI is a software development practice where team members frequently integrate their work and have it automatically tested. The workflow involves integrating code changes, building, testing, archiving, and deploying. Popular CI tools include Jenkins, TravisCI, TeamCity, BuildBot, and Bamboo. Jenkins can be installed via packages or by running its WAR file. The advantages of CI include easier configuration, detecting integration issues early, and keeping the codebase bug-free. Initial setup and developing tests can be disadvantages.
The document discusses microservices and their advantages over monolithic architectures. Microservices break applications into small, independent components that can be developed, deployed and scaled independently. This allows for faster development and easier continuous delivery. The document recommends using Spring Boot to implement microservices and Docker to deploy and manage the microservices as independent components. It provides an example of implementing an ELK stack as Dockerized microservices.
This document discusses microservices and their advantages and disadvantages. Microservices are small, independent units that work together to form an application. They allow for independent deployment and use of different technologies. While this improves scalability and agility, it also introduces challenges around distributed systems, refactoring code between services, and operating at scale. The key is to start with a functional architecture and limit communication between services.
Presenter: Ernest Hwang of Practice Fusion > This presentation shows how to simplify your database deployments, ensure that no database changes are overlooked, and implement unit tests using the suite of Red Gate developer tools.
You'll see how Practice Fusion streamlines database deployments in their Integration, Testing, Staging, and Production environments. This frees developers from the burden of maintaining deployment scripts, while reducing the number of overlooked breaking changes to zero.
The demo uses a Windows Azure box as the Jenkins (Continuous Integration) server and several SQL Azure databases (representing Integration and QA environments). The entire repository is hosted on GitHub (https://github.com/CF9/Databases.RGDemo), for anyone to download.
You'll learn how to:
* Add your database to source control in under five minutes
* Create a CI Job to validate your database “build”
* Deploy database changes to your environments with a mouse click
* Set up database unit testing using tSQLt
* Avoid problems when implementing Database CI in the “real-world”
Ernest Hwang is a Principal Software Engineer at Practice Fusion in San Francisco. He uses Red Gate SQL Source Control, SQL Compare, SQL Data Compare, and SQL Test to automate Practice Fusion's Continuous Integration efforts and instrument database deployments.
Heroku is a platform as a service that originally started as a Ruby PaaS but now supports Node.js, Clojure, Grails, Scala, and Python. It uses the Git version control system for deployment and a dyno process model for scaling applications. While flexible in allowing custom buildpacks and configuration via environment variables, there are also restrictions like maximum source code size and memory limits for dyno processes.
Adopting Continuous Integration in an Ops Groupcolleenfry
The document discusses adopting continuous integration (CI) practices in an operations (Ops) group at Turner Broadcasting Systems. It describes setting up a CI server to run automated tests on code commits, creating standardized build processes, and developing tools like DIB (Daniel In Box) to catch issues earlier. This encouraged more teams to adopt source code management and testing. Lessons learned include how in-process testing is important, providing upstream tests to downstream teams, and culture being a key factor in CI adoption.
You don’t need DTAP + Backbase implementation - Amsterdam 17-12-2015Pavel Chunyayev
DTAP is already an outdated concept in 2016. Instead an idea of immutable infrastructure should be used. Backbase in partnership with Levi9 have employed the concept of immutable infrastructure to revolutionize the way Custemer Experience Platform (CXP) is developed and released.
Micro Service – The New Architecture ParadigmEberhard Wolff
The document discusses microservices as a new software architecture paradigm. It defines microservices as small, independent processes that work together to form an application. The key benefits of microservices are that they allow for easier, faster deployment of features since each service is its own deployment unit and teams can deploy independently without integration. However, the document also notes challenges of microservices such as increased communication overhead, difficulty of code reuse across services, and managing dependencies between many different services. It concludes that microservices are best for projects where time to market is important and continuous delivery is a priority.
Introduction to Enterprise-Release Engineering on the Salesforce PlatformSalesforce Developers
Managing multiple release schedules, workstreams, and code versions is a critical task to ensure your salesforce.com organization maintains security, integrity, and the ability to stay flexible. Join us to learn how to set up a governing team, how to size up what goes into a release, and how to use Github, Jenkins, and the ant deployment tools. You'll leave ready to develop your own release strategy for managing enterprise-level deployments and improvements.
This document discusses continuous integration (CI) and continuous delivery (CD) workflows for CFML applications. It provides an overview of key concepts like automated building and testing of code commits, encouraging short-lived feature branches, and maintaining deployable software. The document also outlines historical challenges with CFML servers and lack of testing tooling. It then introduces several popular CI/CD platforms like Jenkins, Travis CI, GitLab, and Bitbucket Pipelines that can now be used for CFML applications thanks to CFML-compatible CLI tooling.
Service api design validation & collaborationUchit Vyas ☁
This document discusses service APIs and API quality. It provides background on Uchit Vyas and his experience in DevSecOps. It then shares statistics on API usage at companies like eBay, Salesforce, Google and Netflix. The document outlines key findings from an API survey, including most popular deployment methods, developer interests, and tools. It defines aspects of API quality like resilience, robustness, security, discoverability and consistency. Methods to achieve each quality are described, like chaos engineering, fuzz testing, security best practices and API documentation. The problem of siloed API contract design is discussed, along with potential solutions like standardized templates, design validation, and automated testing.
Go ci implementation at caplin systems1jamesbetteley
Caplin Systems uses Go CI to implement continuous integration with over 100 build pipelines across 11 groups. Go CI allows their pipelines to be broken down into stages so developers get fast feedback on unit tests and other stages, rather than waiting for all tests. They have 150 build agents across 10 environments that allow stages to run concurrently on different operating systems like Windows and Centos. This helps them run unit tests on Centos and cross-browser tests on Windows.
Create a copy of your SharePoint farm with SPDocKit and AutoSPInstallerSysKit Ltd
SPDocKit helps you generate an XML configuration file that you can use with AutoSPInstaller to create a new SharePoint farm that is the same as or similar to your current farm environment.
The configuration file reduces the time needed to deploy SharePoint, and since everything is reusable, you can create production and staging/testing environments that are identical.
The document introduces Test Kitchen, a tool for testing infrastructure code. It discusses using Test Kitchen to create and destroy temporary infrastructure that matches production for integration testing. Test Kitchen uses drivers like Vagrant to provision platforms, Chef to run automation code, and InSpec to verify the results by making assertions about system resources. Running the full Test Kitchen workflow helps prevent regressions by testing infrastructure code across platforms before each deployment.
This document discusses continuous delivery using Jenkins, Docker, and Spring Boot. It defines continuous delivery as getting changes safely and quickly into production. It describes how continuous integration and automated testing can help achieve continuous delivery. It then explains how using Docker can help address issues like environment configuration differences. The document outlines a continuous delivery pipeline from code checkout through deployment to production and testing. It provides an example of building a Docker image and running a container mapped to a port.
OSB210: What's New in Patch for Windows Server v9.3Ivanti
Ivanti Patch for Windows Servers 9.3 includes new features such as folder paths in the left navigation to group machine groups and patch groups hierarchically, snapshot cleanup running as a background task, stage deployment as a separate schedulable step, new IAVA reports, and the ability to cancel scheduled deployments. The document also discusses the rebranding of Shavlik Protect to Ivanti Patch for Windows Servers and an open API for interoperability.
Jenkins is an open-source tool for continuous integration that allows building, testing, and deploying software projects continuously. The document describes how Jenkins is used in a sample project workflow, including main jobs for build, deployment, and testing, as well as additional jobs for JavaScript testing, static analysis, external deployments, and spell checking. A Radiator job monitoring dashboard is used to immediately view job statuses in real time.
The document discusses continuous integration and continuous testing for SAP applications. It defines continuous integration as automatically building and testing code changes when developers commit changes to version control. Continuous testing involves running end-to-end tests on a separate schedule from the first build. The document recommends Worksoft's Certify and Execution Manager tools to help enterprises scale testing across their continuous integration and delivery processes by automating end-to-end test execution from CI servers and across environments.
Сontinuous Integration - step to continuous deploymentИгорь Родионов
This document discusses continuous integration and deployment for Drupal projects. It outlines steps for continuous integration including build, inspection, testing and deployment. It recommends using tools like Drush, PHPMD, PHP Code Sniffer, Selenium and Phing to automate these steps. Continuous integration allows taking control of a project, reducing risks and release time, and accumulating technical expertise while flexibly integrating third party code. The speaker claims it can make 75% of developers happy.
The document discusses options for setting up continuous integration for native iOS applications. It explores unit testing libraries like Sentest and gh-unit, functional testing options like UIAutomation, iCuke, and Frank, and static analysis tools like scan-build. While many existing tools were found lacking or difficult to use in a CI environment, Frank was identified as an actively maintained and easy to run functional testing option. The document also mentions concerns about testing push notifications and API interactions that may break with changes.
Database automated build and test - SQL In The City CambridgeRed Gate Software
David Atkinson gives a presentation on automated database build and testing, or continuous integration (CI), for databases. He explains that CI ensures database code is always working by automatically building and testing databases on each change. The demo shows two developers using CI to incrementally keep a test database up to date, run automated tests, and generate deployment scripts. When a fix introduces a breaking change, they address it by adding a custom migration script to the deployment package to safely update data during deployment.
This document discusses Continuous Integration (CI), including its definition, workflow, popular tools, requirements, principles, functionalities, and Jenkins configuration. CI is a software development practice where team members frequently integrate their work and have it automatically tested. The workflow involves integrating code changes, building, testing, archiving, and deploying. Popular CI tools include Jenkins, TravisCI, TeamCity, BuildBot, and Bamboo. Jenkins can be installed via packages or by running its WAR file. The advantages of CI include easier configuration, detecting integration issues early, and keeping the codebase bug-free. Initial setup and developing tests can be disadvantages.
The document discusses microservices and their advantages over monolithic architectures. Microservices break applications into small, independent components that can be developed, deployed and scaled independently. This allows for faster development and easier continuous delivery. The document recommends using Spring Boot to implement microservices and Docker to deploy and manage the microservices as independent components. It provides an example of implementing an ELK stack as Dockerized microservices.
This document discusses microservices and their advantages and disadvantages. Microservices are small, independent units that work together to form an application. They allow for independent deployment and use of different technologies. While this improves scalability and agility, it also introduces challenges around distributed systems, refactoring code between services, and operating at scale. The key is to start with a functional architecture and limit communication between services.
Presenter: Ernest Hwang of Practice Fusion > This presentation shows how to simplify your database deployments, ensure that no database changes are overlooked, and implement unit tests using the suite of Red Gate developer tools.
You'll see how Practice Fusion streamlines database deployments in their Integration, Testing, Staging, and Production environments. This frees developers from the burden of maintaining deployment scripts, while reducing the number of overlooked breaking changes to zero.
The demo uses a Windows Azure box as the Jenkins (Continuous Integration) server and several SQL Azure databases (representing Integration and QA environments). The entire repository is hosted on GitHub (https://github.com/CF9/Databases.RGDemo), for anyone to download.
You'll learn how to:
* Add your database to source control in under five minutes
* Create a CI Job to validate your database “build”
* Deploy database changes to your environments with a mouse click
* Set up database unit testing using tSQLt
* Avoid problems when implementing Database CI in the “real-world”
Ernest Hwang is a Principal Software Engineer at Practice Fusion in San Francisco. He uses Red Gate SQL Source Control, SQL Compare, SQL Data Compare, and SQL Test to automate Practice Fusion's Continuous Integration efforts and instrument database deployments.
Heroku is a platform as a service that originally started as a Ruby PaaS but now supports Node.js, Clojure, Grails, Scala, and Python. It uses the Git version control system for deployment and a dyno process model for scaling applications. While flexible in allowing custom buildpacks and configuration via environment variables, there are also restrictions like maximum source code size and memory limits for dyno processes.
Adopting Continuous Integration in an Ops Groupcolleenfry
The document discusses adopting continuous integration (CI) practices in an operations (Ops) group at Turner Broadcasting Systems. It describes setting up a CI server to run automated tests on code commits, creating standardized build processes, and developing tools like DIB (Daniel In Box) to catch issues earlier. This encouraged more teams to adopt source code management and testing. Lessons learned include how in-process testing is important, providing upstream tests to downstream teams, and culture being a key factor in CI adoption.
You don’t need DTAP + Backbase implementation - Amsterdam 17-12-2015Pavel Chunyayev
DTAP is already an outdated concept in 2016. Instead an idea of immutable infrastructure should be used. Backbase in partnership with Levi9 have employed the concept of immutable infrastructure to revolutionize the way Custemer Experience Platform (CXP) is developed and released.
Micro Service – The New Architecture ParadigmEberhard Wolff
The document discusses microservices as a new software architecture paradigm. It defines microservices as small, independent processes that work together to form an application. The key benefits of microservices are that they allow for easier, faster deployment of features since each service is its own deployment unit and teams can deploy independently without integration. However, the document also notes challenges of microservices such as increased communication overhead, difficulty of code reuse across services, and managing dependencies between many different services. It concludes that microservices are best for projects where time to market is important and continuous delivery is a priority.
Introduction to Enterprise-Release Engineering on the Salesforce PlatformSalesforce Developers
Managing multiple release schedules, workstreams, and code versions is a critical task to ensure your salesforce.com organization maintains security, integrity, and the ability to stay flexible. Join us to learn how to set up a governing team, how to size up what goes into a release, and how to use Github, Jenkins, and the ant deployment tools. You'll leave ready to develop your own release strategy for managing enterprise-level deployments and improvements.
This document discusses continuous integration (CI) and continuous delivery (CD) workflows for CFML applications. It provides an overview of key concepts like automated building and testing of code commits, encouraging short-lived feature branches, and maintaining deployable software. The document also outlines historical challenges with CFML servers and lack of testing tooling. It then introduces several popular CI/CD platforms like Jenkins, Travis CI, GitLab, and Bitbucket Pipelines that can now be used for CFML applications thanks to CFML-compatible CLI tooling.
Service api design validation & collaborationUchit Vyas ☁
This document discusses service APIs and API quality. It provides background on Uchit Vyas and his experience in DevSecOps. It then shares statistics on API usage at companies like eBay, Salesforce, Google and Netflix. The document outlines key findings from an API survey, including most popular deployment methods, developer interests, and tools. It defines aspects of API quality like resilience, robustness, security, discoverability and consistency. Methods to achieve each quality are described, like chaos engineering, fuzz testing, security best practices and API documentation. The problem of siloed API contract design is discussed, along with potential solutions like standardized templates, design validation, and automated testing.
Go ci implementation at caplin systems1jamesbetteley
Caplin Systems uses Go CI to implement continuous integration with over 100 build pipelines across 11 groups. Go CI allows their pipelines to be broken down into stages so developers get fast feedback on unit tests and other stages, rather than waiting for all tests. They have 150 build agents across 10 environments that allow stages to run concurrently on different operating systems like Windows and Centos. This helps them run unit tests on Centos and cross-browser tests on Windows.
Create a copy of your SharePoint farm with SPDocKit and AutoSPInstallerSysKit Ltd
SPDocKit helps you generate an XML configuration file that you can use with AutoSPInstaller to create a new SharePoint farm that is the same as or similar to your current farm environment.
The configuration file reduces the time needed to deploy SharePoint, and since everything is reusable, you can create production and staging/testing environments that are identical.
The document introduces Test Kitchen, a tool for testing infrastructure code. It discusses using Test Kitchen to create and destroy temporary infrastructure that matches production for integration testing. Test Kitchen uses drivers like Vagrant to provision platforms, Chef to run automation code, and InSpec to verify the results by making assertions about system resources. Running the full Test Kitchen workflow helps prevent regressions by testing infrastructure code across platforms before each deployment.
This document discusses continuous delivery using Jenkins, Docker, and Spring Boot. It defines continuous delivery as getting changes safely and quickly into production. It describes how continuous integration and automated testing can help achieve continuous delivery. It then explains how using Docker can help address issues like environment configuration differences. The document outlines a continuous delivery pipeline from code checkout through deployment to production and testing. It provides an example of building a Docker image and running a container mapped to a port.
OSB210: What's New in Patch for Windows Server v9.3Ivanti
Ivanti Patch for Windows Servers 9.3 includes new features such as folder paths in the left navigation to group machine groups and patch groups hierarchically, snapshot cleanup running as a background task, stage deployment as a separate schedulable step, new IAVA reports, and the ability to cancel scheduled deployments. The document also discusses the rebranding of Shavlik Protect to Ivanti Patch for Windows Servers and an open API for interoperability.
Jenkins is an open-source tool for continuous integration that allows building, testing, and deploying software projects continuously. The document describes how Jenkins is used in a sample project workflow, including main jobs for build, deployment, and testing, as well as additional jobs for JavaScript testing, static analysis, external deployments, and spell checking. A Radiator job monitoring dashboard is used to immediately view job statuses in real time.
The document discusses continuous integration and continuous testing for SAP applications. It defines continuous integration as automatically building and testing code changes when developers commit changes to version control. Continuous testing involves running end-to-end tests on a separate schedule from the first build. The document recommends Worksoft's Certify and Execution Manager tools to help enterprises scale testing across their continuous integration and delivery processes by automating end-to-end test execution from CI servers and across environments.
Сontinuous Integration - step to continuous deploymentИгорь Родионов
This document discusses continuous integration and deployment for Drupal projects. It outlines steps for continuous integration including build, inspection, testing and deployment. It recommends using tools like Drush, PHPMD, PHP Code Sniffer, Selenium and Phing to automate these steps. Continuous integration allows taking control of a project, reducing risks and release time, and accumulating technical expertise while flexibly integrating third party code. The speaker claims it can make 75% of developers happy.
Acing application lifecycle management in SharePointJeremy Thake
This document discusses application lifecycle management (ALM) in SharePoint. It defines ALM and its three aspects of governance, development, and operations. It then discusses approaches to ALM including source control, coding standards, testing, tracking, and release management. It presents an ALM maturity model and provides recommendations for getting started with ALM in SharePoint using tools like Visual Studio and Team Foundation Server. A case study is also presented of implementing ALM on a SharePoint site using Mercurial and DocAve.
This presentation is about unit tests, integration tests, REST tests, code coverage and analysis tools, code reviews and other tools that help achieve high-level results.
This presentation by Ilya Tsvetkov (Associate Manager, GlobalLogic) was delivered at GlobalLogic Java Conference in Krakow on December 12, 2015.
At UCR, automation is a part of everything we do. When designing a new architecture and the set of new processes for our new Java based development environment we came up with a set of continuous integration and deployment tools to enable our developers to write and deploy their own applications in a flexible and secure environment.
Automated Testing at The Speed of Headless by Alissa Lydon and Samantha CoffmanSauce Labs
In this SauceCon 2019 presentation, Samantha Coffman, Product Manager at Sauce Labs, and Alissa Lydon, Product Marketing Manager at Sauce Labs, discuss Sauce Headless, the industry’s first cloud-based headless testing solution, making it a fast and affordable option for early pipeline testing at scale. They will cover the benefits of using Sauce Headless in conjunction with Sauce Labs traditional VM offering to increase the release velocity, as well as examples of customers who are experiencing upwards of 50% faster test times using Sauce Headless.
The document provides a summary of highlights from the Ignite 2015 conference. It discusses upcoming releases of products like SharePoint Server 2016, Windows Server 2016, SQL Server 2016, and Office 2016. Keynotes focused on team productivity, mobility, content co-creation, and security. Windows 10 and cloud computing were emphasized. Updates to SharePoint include new limits, Groups, video portals, and Delve integration. Developers were excited about Xamarin for cross-platform mobile apps and updates to Entity Framework and .NET. Resources for learning more about the conference sessions and products were provided.
This document provides an overview of continuous delivery and deployment practices. It discusses concepts like continuous integration, deployment pipelines, automated testing, configuration management, and deploying software frequently and reliably to production. The presentation emphasizes automating processes, deploying software in small batches, keeping everything version controlled, and establishing a culture of continuous improvement.
Wind River Simics is a full system simulator that allows software developers to simulate hardware systems of any size, from single processors to large server systems. It enables developers to test and debug software on a virtual hardware platform before physical hardware is available. This allows for more agile development by enabling parallel hardware and software development. Simics also allows for complex multi-core systems to be debugged through features like synchronous stopping of the entire system, unlimited breakpoints, reverse debugging, and fault injection.
Spring Cloud Pipelines provides an opinionated template for continuous deployment pipelines. It aims to fail builds and deployments fast through practices like contract and integration testing. The pipelines support automation servers like Jenkins and Concourse. Standardizing on tools like Cloud Foundry allows deploying applications using the same processes on different platforms. The pipelines are customizable to suit individual needs.
A Journey to Improve Infrastructure Compliance With InSpecCliffano Subagio
This document summarizes Cliffano Subagio's presentation on how his company improved infrastructure compliance through the use of InSpec. It describes how they initially had manual compliance checks that were time-consuming. They started using InSpec to automate correctness, readiness, security and compliance tests. This helped find issues early and continuously. They also created custom InSpec profiles and leveraged community profiles. As a result, their delivery pipeline and applications became more secure and compliant.
A Simple 8-Step Guide to Setting Up a Dev ShopScott Porad
This document outlines 8 steps for setting up a software development shop, along with a bonus 9th step. The 8 steps are: source control, code review, test automation, development environment, continuous integration, deployment, servers, and monitoring and alerting. The bonus 9th step emphasizes eliminating single points of failure to ensure system reliability. Various tools are listed under each step as options to consider.
Rising Above the Noise: Continuous Integration, Delivery and DevOpsIBM UrbanCode Products
This document discusses continuous integration (CI), continuous delivery (CD), and DevOps. It defines CI as integrating code frequently through automated testing to determine code quality. CD builds on CI by automatically deploying code through test environments to production. DevOps aims to break down silos between development and operations by automating infrastructure and deployment. The future will see more private clouds, platform as a service, and tools that integrate CI, deployment automation, and environment provisioning.
Continuous Integration is a software development practice where members of a team integrate their work frequently, usually each person integrates at least daily - leading to multiple integrations per day.
Continuous Integration as a Development Team’s Way of LifeTechWell
Continuous integration (CI) is a buzzword in software development today. We know it means “run lots of builds,” but having a continuous integration pipeline opens up opportunities well beyond making sure your team's code compiles. What if this pipeline could improve everything from the quality of code reviews to how often and safely you deploy to production and how you monitor your product in the wild? What if CI could provide insights into how automated tests are performing and how to improve them? Melissa Benua describes how to set up a basic CI infrastructure and then transform it into a way of life for development and test teams. Using free or nearly free tools, Melissa walks through a practical approach to making sure your code works—all the time and at every stage of the release train. Come away with practical advice for creating builds and running automation on the fly without spending hundreds of hours or thousands of dollars.
Continuous delivery applied (DC CI User Group)Mike McGarr
These are slides I used to present to the DC Continuous Integration, Delivery and Deployment User Group on
Writing code is fun, but deploying to production is not. Production releases are scary events that last all weekend, and you find yourself worrying about how it will go. Did we miss a configuration file? Is the database schema the same as the one in the test environment? Does the last minute hot fix we just applied break any other features? Did I forget to include an installation instruction for the system administrators?
Continuous Delivery is a collection of principles and practices aimed at addressing the problems teams typically face when releasing changes to production. By applying rigorous automation, testing and configuration management, teams are able to confidently and consistently deploy changes from version control to production without fear.
In this talk, Mike McGarr will provide listeners with an introduction into the world of Continuous Delivery. After an introduction into the concepts and principles of Continuous Delivery, he will discuss many of the techniques for implementing Continuous Delivery and recommend some tools that can be used on your development project.
From Sandbox to Production by Vadym FedorovSoftServe
This document discusses best practices for collaboration between development and operations teams. It notes that historically, development teams did not involve operations teams early enough in the process. This led to projects not being production-ready and knowledge not being transferred effectively. The document recommends keeping development, staging, and production environments as similar as possible. It also advocates using an "infrastructure as code" approach to automate environment setup and deployment. This helps improve project portability and continuity. Prototyping the production environment locally during development allows operations expertise to influence design decisions earlier.
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SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
21. • Technical? Non-Technical? Both!
https://www.linkedin.com/pulse/technical-non-technical-both-andrea-goulet
• Continuous Delivery: Reliable Software Releases through Build,Test, and
Deployment Automation - Jez Humble and David Farley
• The Phoenix Project: A Novel about IT, DevOps, and HelpingYour Business
Win - Gene Kim, Kevin Behr, George Spafford
Thank you :)
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