Github Actions enables you to create custom software development lifecycle workflows directly in your Github repository. These workflows are made out of different tasks so-called actions that can be run automatically on certain events.
Github is a continuous Integration and Continous delivery platform that provides an excellent option for automating workflows to run specific tasks when some event like code push or a release is triggered on the repository. In this Session we will be exploring Github Actions and learning how to use them in our projects.
GitHub Actions is an automation platform for GitHub repositories that allows users to build workflows to automate software tasks. It was introduced in 2019 and is based on Azure Pipelines. Workflows are configured using YAML files and can be triggered by events like push commits, pull requests, or scheduled times. Actions, which are reusable code components, can be used in workflows and are sourced from the GitHub marketplace or created by users. GitHub Actions is free for public repositories and offers paid plans for private repositories.
* What is different GitHub Flow and Git Flow?
* What is GitHub Actions?
* How to write the simple workflow?
* What's problem in GitHub Actions UI?
* What's problem with Secrets in GitHub Actions?
* How to write your first GitHub Actions and upload to the marketplace?
* What's a problem with environment variables in GitHub Actions?
This document discusses setting up a CI/CD pipeline using GitHub Actions. It begins with an introduction to CI/CD pipelines and their importance. It then provides an overview of GitHub Actions and how they can be used to automate builds, tests, releases and deployments. The document demonstrates a sample GitHub Actions workflow file and explains its key components like jobs, steps and actions. It also covers topics like workflow events, jobs and steps/actions that can be used in GitHub Actions.
In this session we will take an introduction look to Continuous Integration and Continuous Delivery workflow.
This is an introduction session to CI/CD and is best for people new to the CI/CD concepts, or looking to brush up on benefits of using these approaches.
* What CI & CD actually are
* What good looks like
* A method for tracking confidence
* The business value from CI/CD
Slide deck of the presentation done at the Hactoberfest 2020 Singapore event. The talk and demo showed GitHub Actions in practice with examples of Github Superlinter, SonarCloud integration and CI CD to Azure Kubernetes service.
The recording of the session is available on YouTube
https://youtu.be/sFvCj62wmWU?t=6732&WT.mc_id=AZ-MVP-5003170
This document discusses using GitHub Actions for continuous integration and continuous delivery (CI/CD) workflows. It begins with an introduction and agenda, then discusses the basics of GitHub Actions including what problems it solves and why CI/CD is important. Several key aspects of GitHub Actions are then covered at a high level, including how it compares to AWS CodePipeline, examples of GitHub workflows, and the core components of actions, artifacts, events, jobs, runners, steps, and workflows. The document concludes with an overview of creating a GitHub Actions workflow and exploring further possibilities.
ArgoCD is a Continuous Delivery and Deployment tool based on GitOps principles. It helps to automate deployment to Kubernetes cluster from github. We will look into how to adopt and use argoCD for continuous deployment.
Gitlab CI/CD provides continuous integration and continuous delivery capabilities. It allows automating the building, testing, and deployment of code changes. At Proxym, Gitlab is used to host Git repositories and manage the complete DevOps lifecycle including CI/CD. It integrates with other tools and uses multiple runners to test code changes and deliver new features to customers quickly in an automated way.
Using GitHub Actions to Deploy your Workloads to AzureKasun Kodagoda
This presentation provides an introduction to GitHub Actions and the core concepts of GitHub Actions. Then dives into details about how you can use GitHub Actions for Azure to deploy your workloads to Azure Cloud Platform.
Github is a continuous Integration and Continous delivery platform that provides an excellent option for automating workflows to run specific tasks when some event like code push or a release is triggered on the repository. In this Session we will be exploring Github Actions and learning how to use them in our projects.
GitHub Actions is a great addition to the GitHub toolchain, but what can you use them for beyond building the code in your GitHub repository?
In this session Morten Christensen (https://twitter.com/sitereactor), dive into what a GitHub Action actually is and how it can be used through examples and demos.
We will have a look at workflows related to Continuous Integration / Continuous Deployment and open source projects - and finally we will look at how you can extend your workflows with your own Actions.
By the end of this session you should have a good idea of how you can utilize GitHub Actions and Workflows to automate anything and everything related to your GitHub repository. So expect to see a lot of YAML :)
Continuous Integration/Deployment with Gitlab CIDavid Hahn
This document discusses continuous integration/deployment with Gitlab CI. It provides an introduction and overview of continuous integration, continuous delivery, and deployment. It then discusses Gitlab and Gitlab CI in more detail, including stages and pipelines, the UI, runners, using CI as code, and examples for Node.js + React, Java + Angular, and Electron applications. The sources section lists links and image sources for additional information.
Jenkins is the leading open source continuous integration tool. It builds and tests our software continuously and monitors the execution and status of remote jobs, making it easier for team members and users to regularly obtain the latest stable code.
Jenkins is an open-source tool for continuous integration that was originally developed as the Hudson project. It allows developers to commit code frequently to a shared repository, where Jenkins will automatically build and test the code. Jenkins is now the leading replacement for Hudson since Oracle stopped maintaining Hudson. It helps teams catch issues early and deliver software more rapidly through continuous integration and deployment.
Jenkins is a tool that allows users to automate multi-step processes that involve dependencies across multiple servers. It can be used to continuously build, test, and deploy code by triggering jobs that integrate code, run tests, deploy updates, and more. Jenkins provides a web-based interface to configure and manage recurring jobs and can scale to include slave agents to perform tasks on other machines. It offers many plugins to support tasks like testing, deployment, and notifications.
Github Action is the CI/CD tool made by Github. Deeply integrated with Github features, it can not only automate deployments, but also Githu.b repository management. In this sharing I will talk about how we use Github action in LikeCoin and some issues we encountered.
This document discusses GitLab Continuous Integration (GitLab CI/CD). It defines continuous integration, continuous delivery, and continuous deployment. It explains that GitLab CI/CD uses pipelines made up of stages and jobs to test, build, and deploy code. Pipelines are configured using a YAML file. Jobs run on GitLab runners, which can execute jobs locally or using Docker. Benefits of GitLab CI/CD include integrated pipelines, Docker/Kubernetes integration, and not requiring plugins. The downside is that it is only available within GitLab.
This document provides an overview of Git and how to use it. It discusses version control systems and how distributed version control systems like Git work. It explains how Git was created by Linus Torvalds for Linux kernel development and why it gained popularity due to its speed and efficiency. The document then covers Git basics like setup, commits, branches and workflows. It also introduces tools for using Git in Eclipse and GitLab for code hosting and collaboration.
This document provides an overview and instructions for setting up Jenkins continuous integration software. It discusses downloading and installing Jenkins, integrating it with Tomcat and configuring plugins to support version control with Git and builds with Maven. The tutorial is intended to help software testers learn how to continuously build and test projects to integrate changes quickly and obtain fresh builds.
This document provides an introduction to continuous integration with Jenkins. It discusses what continuous integration is and why Jenkins is commonly used for CI. Jenkins allows for easy installation and configuration, extensive extensibility through plugins, and distributed builds across multiple nodes. The document outlines common CI workflows and components like version control, automated building and testing. It also covers Jenkins' major functionalities, platforms supported, notifications, advanced configuration options and principles of continuous delivery.
This document provides an overview of GitLab and discusses implementing GitLab within the Commercial Bank of Ethiopia (CBE). It describes GitLab as a self-hosted Git repository management system that allows users to privately manage code repositories. The document outlines key GitLab features like repository creation, user management, access controls, and integration with Git workflows. It recommends a single server GitLab architecture for CBE based on its reference architectures. The proposed CBE implementation would involve deploying a GitLab server authenticated via Active Directory, with an optional GitLab runner server, and various CBE teams using it for source code management, infrastructure as code, and change tracking.
This document provides an introduction and overview of Ansible, including its main features, installation process, inventory file configuration, ad-hoc command execution, playbook usage, roles, variables, and conditions. Ansible is an automation tool that can configure systems, deploy software, and orchestrate more complex IT workloads. It uses SSH and does not require installing any agents on remote systems. Playbooks allow defining entire deployment processes as code for multi-machine orchestration.
This document discusses GitHub Actions for continuous integration and continuous delivery (CI/CD). It provides an overview of GitHub Actions, why they are useful, core concepts, and pricing. The key points are: GitHub Actions allow automating workflows from development to production using Linux, Windows, and macOS runners. They offer built-in secrets management, matrix builds, multi-container testing, and live logs. Pricing is free for public repositories and includes a generous monthly allowance for private repositories. The presenter then demonstrates GitHub Actions in a live demo.
This document provides an overview of continuous integration (CI), continuous delivery (CD), and continuous deployment. CI involves regularly integrating code changes into a central repository and running automated tests. CD builds on CI by automatically preparing code changes for release to testing environments. Continuous deployment further automates the release of changes to production without human intervention if tests pass. The benefits of CI/CD include higher quality, lower costs, faster delivery, and happier teams. Popular CI tools include Jenkins, Bamboo, CircleCI, and Travis. Key practices involve automating all stages, keeping environments consistent, and making the pipeline fast. Challenges include requiring organizational changes and technical knowledge to automate the full process.
This document provides an introduction to Gitlab CI and continuous integration/continuous delivery (CI/CD) workflows. It discusses DevOps practices and the benefits of Gitlab CI. It then covers how to set up Gitlab runners, write a basic Gitlab CI configuration file, define jobs, stages, variables and environments. The document demonstrates concepts like Docker integration, artifacts, auto and manual deployments, and stopping deployments. It concludes with a live demo of a Gitlab CI configuration.
Jenkins is an open source automation server written in Java. Jenkins helps to automate the non-human part of software development process, with continuous integration and facilitating technical aspects of continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat.
Focus on what matters: code
How to use and develop a GitHub Actions workflow using Node.js
With GitHub Actions (https://github.com/features/actions) you can automate your workflow from idea to production.
Actions can be written in any language, but we will take a closer look in how to write our workflow using Node.js and interact with the full GitHub API.
Introduction to Github action PresentationKnoldus Inc.
Automate, customize, and execute your software development workflows right in your repository with GitHub Actions. We can discover, create, and share actions to perform any job you'd like, including CI/CD, and combine actions in a completely customized workflow.
The document provides an overview of a DevOps workshop that teaches DevOps concepts and practices including CI/CD. The workshop agenda covers What is DevOps?, CI/CD, implementing CI/CD with GitHub Actions, and deploying a React/Firebase project. Attendees will learn how to automate testing and deployment of their React app via a GitHub Actions workflow that is triggered on pushes to main and deploys the built app to Firebase hosting. By the end of the workshop, attendees will have hands-on experience creating a CI/CD pipeline for their own project.
Gitlab CI/CD provides continuous integration and continuous delivery capabilities. It allows automating the building, testing, and deployment of code changes. At Proxym, Gitlab is used to host Git repositories and manage the complete DevOps lifecycle including CI/CD. It integrates with other tools and uses multiple runners to test code changes and deliver new features to customers quickly in an automated way.
Using GitHub Actions to Deploy your Workloads to AzureKasun Kodagoda
This presentation provides an introduction to GitHub Actions and the core concepts of GitHub Actions. Then dives into details about how you can use GitHub Actions for Azure to deploy your workloads to Azure Cloud Platform.
Github is a continuous Integration and Continous delivery platform that provides an excellent option for automating workflows to run specific tasks when some event like code push or a release is triggered on the repository. In this Session we will be exploring Github Actions and learning how to use them in our projects.
GitHub Actions is a great addition to the GitHub toolchain, but what can you use them for beyond building the code in your GitHub repository?
In this session Morten Christensen (https://twitter.com/sitereactor), dive into what a GitHub Action actually is and how it can be used through examples and demos.
We will have a look at workflows related to Continuous Integration / Continuous Deployment and open source projects - and finally we will look at how you can extend your workflows with your own Actions.
By the end of this session you should have a good idea of how you can utilize GitHub Actions and Workflows to automate anything and everything related to your GitHub repository. So expect to see a lot of YAML :)
Continuous Integration/Deployment with Gitlab CIDavid Hahn
This document discusses continuous integration/deployment with Gitlab CI. It provides an introduction and overview of continuous integration, continuous delivery, and deployment. It then discusses Gitlab and Gitlab CI in more detail, including stages and pipelines, the UI, runners, using CI as code, and examples for Node.js + React, Java + Angular, and Electron applications. The sources section lists links and image sources for additional information.
Jenkins is the leading open source continuous integration tool. It builds and tests our software continuously and monitors the execution and status of remote jobs, making it easier for team members and users to regularly obtain the latest stable code.
Jenkins is an open-source tool for continuous integration that was originally developed as the Hudson project. It allows developers to commit code frequently to a shared repository, where Jenkins will automatically build and test the code. Jenkins is now the leading replacement for Hudson since Oracle stopped maintaining Hudson. It helps teams catch issues early and deliver software more rapidly through continuous integration and deployment.
Jenkins is a tool that allows users to automate multi-step processes that involve dependencies across multiple servers. It can be used to continuously build, test, and deploy code by triggering jobs that integrate code, run tests, deploy updates, and more. Jenkins provides a web-based interface to configure and manage recurring jobs and can scale to include slave agents to perform tasks on other machines. It offers many plugins to support tasks like testing, deployment, and notifications.
Github Action is the CI/CD tool made by Github. Deeply integrated with Github features, it can not only automate deployments, but also Githu.b repository management. In this sharing I will talk about how we use Github action in LikeCoin and some issues we encountered.
This document discusses GitLab Continuous Integration (GitLab CI/CD). It defines continuous integration, continuous delivery, and continuous deployment. It explains that GitLab CI/CD uses pipelines made up of stages and jobs to test, build, and deploy code. Pipelines are configured using a YAML file. Jobs run on GitLab runners, which can execute jobs locally or using Docker. Benefits of GitLab CI/CD include integrated pipelines, Docker/Kubernetes integration, and not requiring plugins. The downside is that it is only available within GitLab.
This document provides an overview of Git and how to use it. It discusses version control systems and how distributed version control systems like Git work. It explains how Git was created by Linus Torvalds for Linux kernel development and why it gained popularity due to its speed and efficiency. The document then covers Git basics like setup, commits, branches and workflows. It also introduces tools for using Git in Eclipse and GitLab for code hosting and collaboration.
This document provides an overview and instructions for setting up Jenkins continuous integration software. It discusses downloading and installing Jenkins, integrating it with Tomcat and configuring plugins to support version control with Git and builds with Maven. The tutorial is intended to help software testers learn how to continuously build and test projects to integrate changes quickly and obtain fresh builds.
This document provides an introduction to continuous integration with Jenkins. It discusses what continuous integration is and why Jenkins is commonly used for CI. Jenkins allows for easy installation and configuration, extensive extensibility through plugins, and distributed builds across multiple nodes. The document outlines common CI workflows and components like version control, automated building and testing. It also covers Jenkins' major functionalities, platforms supported, notifications, advanced configuration options and principles of continuous delivery.
This document provides an overview of GitLab and discusses implementing GitLab within the Commercial Bank of Ethiopia (CBE). It describes GitLab as a self-hosted Git repository management system that allows users to privately manage code repositories. The document outlines key GitLab features like repository creation, user management, access controls, and integration with Git workflows. It recommends a single server GitLab architecture for CBE based on its reference architectures. The proposed CBE implementation would involve deploying a GitLab server authenticated via Active Directory, with an optional GitLab runner server, and various CBE teams using it for source code management, infrastructure as code, and change tracking.
This document provides an introduction and overview of Ansible, including its main features, installation process, inventory file configuration, ad-hoc command execution, playbook usage, roles, variables, and conditions. Ansible is an automation tool that can configure systems, deploy software, and orchestrate more complex IT workloads. It uses SSH and does not require installing any agents on remote systems. Playbooks allow defining entire deployment processes as code for multi-machine orchestration.
This document discusses GitHub Actions for continuous integration and continuous delivery (CI/CD). It provides an overview of GitHub Actions, why they are useful, core concepts, and pricing. The key points are: GitHub Actions allow automating workflows from development to production using Linux, Windows, and macOS runners. They offer built-in secrets management, matrix builds, multi-container testing, and live logs. Pricing is free for public repositories and includes a generous monthly allowance for private repositories. The presenter then demonstrates GitHub Actions in a live demo.
This document provides an overview of continuous integration (CI), continuous delivery (CD), and continuous deployment. CI involves regularly integrating code changes into a central repository and running automated tests. CD builds on CI by automatically preparing code changes for release to testing environments. Continuous deployment further automates the release of changes to production without human intervention if tests pass. The benefits of CI/CD include higher quality, lower costs, faster delivery, and happier teams. Popular CI tools include Jenkins, Bamboo, CircleCI, and Travis. Key practices involve automating all stages, keeping environments consistent, and making the pipeline fast. Challenges include requiring organizational changes and technical knowledge to automate the full process.
This document provides an introduction to Gitlab CI and continuous integration/continuous delivery (CI/CD) workflows. It discusses DevOps practices and the benefits of Gitlab CI. It then covers how to set up Gitlab runners, write a basic Gitlab CI configuration file, define jobs, stages, variables and environments. The document demonstrates concepts like Docker integration, artifacts, auto and manual deployments, and stopping deployments. It concludes with a live demo of a Gitlab CI configuration.
Jenkins is an open source automation server written in Java. Jenkins helps to automate the non-human part of software development process, with continuous integration and facilitating technical aspects of continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat.
Focus on what matters: code
How to use and develop a GitHub Actions workflow using Node.js
With GitHub Actions (https://github.com/features/actions) you can automate your workflow from idea to production.
Actions can be written in any language, but we will take a closer look in how to write our workflow using Node.js and interact with the full GitHub API.
Introduction to Github action PresentationKnoldus Inc.
Automate, customize, and execute your software development workflows right in your repository with GitHub Actions. We can discover, create, and share actions to perform any job you'd like, including CI/CD, and combine actions in a completely customized workflow.
The document provides an overview of a DevOps workshop that teaches DevOps concepts and practices including CI/CD. The workshop agenda covers What is DevOps?, CI/CD, implementing CI/CD with GitHub Actions, and deploying a React/Firebase project. Attendees will learn how to automate testing and deployment of their React app via a GitHub Actions workflow that is triggered on pushes to main and deploys the built app to Firebase hosting. By the end of the workshop, attendees will have hands-on experience creating a CI/CD pipeline for their own project.
GitLab CI is a continuous integration service fully integrated with GitLab. It allows users to define build and test workflows directly in the GitLab repository using a .gitlab-ci.yml file. GitLab CI runs jobs defined in the YAML file on GitLab-hosted runners which can be Docker containers. It supports features like artifacts, dependencies between jobs, stages, and secret variables to securely pass credentials to builds.
Engage 2018 adm04 - The lazy admin winsMatteo Bisi
We spent the last 6 months deep diving into automation (DevOps) tools to make our life easier.
We applied it to Connections (On-Prem) and other technologies. Come and see how Ansible, Jenkins (and many others) can be friends with Administrators (let’s steal developer tools).
Deploy IBM Connections components, install fix-packs, automate tedious tasks and more.
An introductory session on modern administration topics. Git, Jenkins, Ansible, Installation Manager. Come and learn how this can improve your everyday job.
GitHub is a code hosting platform that allows users to store and manage code as well as track changes through versions. It provides a graphical interface for Git repositories along with features like issue tracking, code review, notifications, and security alerts. To use GitHub, a user creates an account, verifies their email, installs the GitHub Desktop app to manage local repositories, and pushes code changes to the online repository where others can see them. Advanced features include creating branches to isolate work and pull requests to review changes before merging them into the master branch.
Detecting secrets in code committed to gitlab (in real time)Chandrapal Badshah
Slides from my talk "Detecting secrets in code committed to Gitlab" at OWASP Suffolk on 15th May 2020.
This talk will cover the following:
* Problem we had
* Techniques to solve that
* Existing tools that can help us
* Comparison of tools
* Final architecture and product
* What we learnt from the experiment
* Future enhancements
This document contains questions and answers related to DevOps concepts. It begins with definitions of DevOps and explains that DevOps aims to automate infrastructure and integrate development and operations teams. Key DevOps principles like infrastructure as code, continuous integration, deployment and monitoring are outlined. Popular DevOps tools like Git, Jenkins, Ansible, Docker and Nagios are listed. The document also includes questions on version control systems, Git, Ansible, Docker, Scrum methodology and more DevOps related topics.
Deploying to DigitalOcean With GitHub ActionsDigitalOcean
Watch this Tech Talk: https://do.co/video_karanmv
Find yourself juggling between different tools in your software development & deployment workflow? Karan MV, Developer Relations Professional for GitHub India, provides tips to simplify your workflow using GitHub Actions and DigitialOcean's APIs. Watch as he concludes with a demo of running a CI/CD pipeline to deploy on DigitalOcean.
About the Presenter
Karan MV currently manages developer relations for GitHub India. When he is not working, you can find him reading books of various genres, studying filmmaking, and honing his acting and stage-anchoring skills.
New to DigitalOcean? Get US $100 in credit when you sign up: https://do.co/deploytoday
To learn more about DigitalOcean: https://www.digitalocean.com/
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Steamlining your puppet development workflowTomas Doran
The document discusses ways to streamline a Puppet development workflow including using revision control, running Puppet in noop or automatic mode, moving changes slowly through testing and using branches, reporting on changes, and implementing testing strategies like unit testing with rspec-puppet and integration testing with serverspec. It also recommends tools like Foreman, Norman, Puppetfile, and Jenkins to improve testing and deployment.
Puppet Camp New York 2014: Streamlining Puppet Development Workflow Puppet
The document discusses ways to streamline a Puppet development workflow including using revision control, running Puppet in noop or automatic mode, moving changes slowly through testing and using branches, reporting on changes, and implementing testing strategies like unit testing with rspec-puppet and integration testing with serverspec. It also recommends tools like Foreman, Norman, Puppetfile, and Jenkins to improve testing and deployment.
Netflix’s Big Data Platform team manages data warehouse in Amazon S3 with over 60 petabytes of data and writes hundreds of terabytes of data every day. At this scale, output committers that create extra copies or can’t handle task failures are no longer practical. This talk will explain the problems that are caused by the available committers when writing to S3, and show how Netflix solved the committer problem.
In this session, you’ll learn:
– Some background about Spark at Netflix
– About output committers, and how both Spark and Hadoop handle failures
– How HDFS and S3 differ, and why HDFS committers don’t work well
– A new output committer that uses the S3 multi-part upload API
– How you can use this new committer in your Spark applications to avoid duplicating data
Buildout: creating and deploying repeatable applications in pythonCodeSyntax
The document discusses how buildout is used to create repeatable Python application deployments. Buildout uses a configuration file and recipes to automate the installation of applications and their dependencies. It describes how buildout is used to deploy complex Plone and Django applications across multiple servers. Buildout solves the problems of repeatable and easy application deployment through its use of recipes, parts, and versions control of dependencies.
Beginner Workshop for Student Developers - Tratech-presentation.pdfGDSCKNUST
Version control allows tracking changes to code over time and collaboration between developers. Git is a version control tool while GitHub is a platform that integrates with Git. This document discusses setting up Git locally and linking a Git repository to a GitHub account for collaboration and backup of code. Key steps include installing Git, configuring user settings, initializing a Git repository for a project, adding and committing files, and pushing the local repository to GitHub to sync changes and make the code accessible to others.
Introduction to GitHub Actions
-> What they are and why they matter.
Basic Concepts
-> Key components like workflows, jobs, and steps.
Setting Up Your First Action
-> A simple guide to getting started.
Common Use Cases
-> Examples of how GitHub Actions can enhance your projects.
Helpful Resources
-> Additional links for further learning.
Git is a distributed version control system that allows teams to manage multiple versions of documents and programs. Bitbucket provides Git and Mercurial hosting and integrates with Jira. Continuous integration with Bamboo automates building and testing code changes frequently to catch errors early. Confluence provides a central place for teams to share and collaborate on information.
This document provides an overview of pipelines and continuous integration/deployment tools. It discusses who needs pipelines, what pipelines are and their main features, when to use pipelines, where pipelines can be found (GitLab, Bitbucket, GitHub, CircleCI, TravisCI), and why pipelines are important. The key benefits outlined are that pipelines integrate with repositories, are simple to use, don't require extra servers, replace tools like Jenkins, and enable isolated testing. The document also compares GitLab and Bitbucket pipelines, noting differences in where they run, task configuration, stages, and SSH key handling. Finally, it introduces Deployer PHP as a deployment tool that executes tasks remotely based on a release/folder structure configured via PHP files
Angular Hydration Presentation (FrontEnd)Knoldus Inc.
In this Nashknolx session, we will learn how to renders applications on the server side and then sends them to the client. It includes faster initial load times, superior SEO, and improved performance. Hydration is the process that restores the server-side rendered application on the client. This includes things like reusing the server rendered DOM structures, persisting the application state, transferring application data that was retrieved already by the server, and other processes.
Optimizing Test Execution: Heuristic Algorithm for Self-HealingKnoldus Inc.
Take your test automation to the next level by optimizing test execution with heuristic algorithms. Develop algorithms that detect and fix test failures in real-time, reducing maintenance and increasing efficiency. Unleash the power of optimized testing.
Self-Healing Test Automation Framework - HealeniumKnoldus Inc.
Revolutionize your test automation with Healenium's self-healing framework. Automate test maintenance, reduce flakes, and increase efficiency. Learn how to build a robust test automation foundation. Discover the power of self-healing tests. Transform your testing experience.
Kanban Metrics Presentation (Project Management)Knoldus Inc.
Kanban flow metrics are key performance indicators (KPIs) used to measure team’s performance using Kanban. They help you deliver large and complex projects without failing. The session will cover on how Kanban flow metrics can be used to optimize delivery.
Java 17 features and implementation.pptxKnoldus Inc.
This session will cover the most significant new features introduced in Java 17 and demonstrate how to effectively implement them in your projects. This session is ideal for Java developers, architects, and technical leads who want to stay current with the latest advancements in the Java ecosystem and leverage Java 17 to build robust, modern applications.
Chaos Mesh Introducing Chaos in KubernetesKnoldus Inc.
Chaos Mesh brings various types of fault simulation to Kubernetes and has an enormous capability to orchestrate fault scenarios. It helps to conveniently simulate various abnormalities that might occur in reality during the development, testing, and production environments and find potential problems in the system.
GraalVM - A Step Ahead of JVM PresentationKnoldus Inc.
Explore the capabilities of GraalVM in our upcoming session, where we will cover key aspects such as optimizing startup times, enhancing resource efficiency, and enabling seamless language interoperability. Learn how GraalVM can significantly improve your application's performance and versatility by reducing latency, maximizing resource utilization, and facilitating the smooth integration of multiple programming languages.
Nomad by HashiCorp Presentation (DevOps)Knoldus Inc.
Nomad is a workload orchestrator designed by HashiCorp to deploy and manage containers and non-containerized applications across on-premises and cloud environments. It is a single binary that schedules applications and services on a cluster of machines and is highly scalable and performant. Nomad is known for its simplicity and flexibility, offering developers and operators a unified workflow to deploy applications. Nomad supports containerized, virtualized, and standalone applications, and its workload support includes Docker, Windows, QEMU, and Java. It integrates seamlessly with other HashiCorp tools like Consul for service discovery and Vault for secrets management, providing a full-stack solution for infrastructure management.
Nomad by HashiCorp Presentation (DevOps)Knoldus Inc.
Nomad is a workload orchestrator designed by HashiCorp to deploy and manage containers and non-containerized applications across on-premises and cloud environments. It is a single binary that schedules applications and services on a cluster of machines and is highly scalable and performant. Nomad is known for its simplicity and flexibility, offering developers and operators a unified workflow to deploy applications. Nomad supports containerized, virtualized, and standalone applications, and its workload support includes Docker, Windows, QEMU, and Java. It integrates seamlessly with other HashiCorp tools like Consul for service discovery and Vault for secrets management, providing a full-stack solution for infrastructure management.
DAPR - Distributed Application Runtime PresentationKnoldus Inc.
Discover Dapr: The open-source runtime that simplifies microservices development with powerful building blocks for service invocation, state management, and more. Learn how Dapr's sidecar architecture enhances scalability and interoperability across multiple programming languages.
Introduction to Azure Virtual WAN PresentationKnoldus Inc.
A Virtual WAN (Wide Area Network) is a networking service offered by cloud providers like Microsoft Azure that allows organizations to connect their branch offices, data centers, and remote users to their main network in a scalable, secure, and efficient manner.
Introduction to Argo Rollouts PresentationKnoldus Inc.
Argo Rollouts is a Kubernetes controller and set of CRDs that provide advanced deployment capabilities such as blue-green, canary, canary analysis, experimentation, and progressive delivery features to Kubernetes. Argo Rollouts (optionally) integrates with ingress controllers and service meshes, leveraging their traffic shaping abilities to shift traffic to the new version during an update gradually. Additionally, Rollouts can query and interpret metrics from various providers to verify key KPIs and drive automated promotion or rollback during an update.
Intro to Azure Container App PresentationKnoldus Inc.
Azure Container Apps is a serverless platform that allows you to maintain less infrastructure and save costs while running containerized applications. Instead of worrying about server configuration, container orchestration, and deployment details, Container Apps provides all the up-to-date server resources required to keep your applications stable and secure.
Insights Unveiled Test Reporting and Observability ExcellenceKnoldus Inc.
Effective test reporting involves creating meaningful reports that extract actionable insights. Enhancing observability in the testing process is crucial for making informed decisions. By employing robust practices, testers can gain valuable insights, ensuring thorough analysis and improvement of the testing strategy for optimal software quality.
Introduction to Splunk Presentation (DevOps)Knoldus Inc.
As simply as possible, we offer a big data platform that can help you do a lot of things better. Using Splunk the right way powers cybersecurity, observability, network operations and a whole bunch of important tasks that large organizations require.
Code Camp - Data Profiling and Quality Analysis FrameworkKnoldus Inc.
A Data Profiling and Quality Analysis Framework is a systematic approach or set of tools used to assess the quality, completeness, consistency, and integrity of data within a dataset or database. It involves analyzing various attributes of the data, such as its structure, patterns, relationships, and values, to identify anomalies, errors, or inconsistencies.
AWS: Messaging Services in AWS PresentationKnoldus Inc.
Asynchronous messaging allows services to communicate by sending and receiving messages via a queue. This enables services to remain loosely coupled and promote service discovery. To implement each of these message types, AWS offers various managed services such as Amazon SQS, Amazon SNS, Amazon EventBridge, Amazon MQ, and Amazon MSK. These services have unique features tailored to specific needs.
Amazon Cognito: A Primer on Authentication and AuthorizationKnoldus Inc.
Amazon Cognito is a service provided by Amazon Web Services (AWS) that facilitates user identity and access management in the cloud. It's commonly used for building secure and scalable authentication and authorization systems for web and mobile applications.
ZIO Http A Functional Approach to Scalable and Type-Safe Web DevelopmentKnoldus Inc.
Explore the transformative power of ZIO HTTP - a powerful, purely functional library designed for building highly scalable, concurrent and type-safe HTTP service. Delve into seamless integration of ZIO's powerful features offering a robust foundation for building composable and immutable web applications.
Managing State & HTTP Requests In Ionic.Knoldus Inc.
Ionic is a complete open-source SDK for hybrid mobile app development created by Max Lynch, Ben Sperry, and Adam Bradley of Drifty Co. in 2013.The original version was released in 2013 and built on top of AngularJS and Apache Cordova. However, the latest release was re-built as a set of Web Components using StencilJS, allowing the user to choose any user interface framework, such as Angular, React or Vue.js. It also allows the use of Ionic components with no user interface framework at all.[4] Ionic provides tools and services for developing hybrid mobile, desktop, and progressive web apps based on modern web development technologies and practices, using Web technologies like CSS, HTML5, and Sass. In particular, mobile apps can be built with these Web technologies and then distributed through native app stores to be installed on devices by utilizing Cordova or Capacitor.
Buckeye Dreamin 2024: Assessing and Resolving Technical DebtLynda Kane
Slide Deck from Buckeye Dreamin' 2024 presentation Assessing and Resolving Technical Debt. Focused on identifying technical debt in Salesforce and working towards resolving it.
Automation Hour 1/28/2022: Capture User Feedback from AnywhereLynda Kane
Slide Deck from Automation Hour 1/28/2022 presentation Capture User Feedback from Anywhere presenting setting up a Custom Object and Flow to collection User Feedback in Dynamic Pages and schedule a report to act on that feedback regularly.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
How Can I use the AI Hype in my Business Context?Daniel Lehner
𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
Hands On: Create a Lightning Aura Component with force:RecordDataLynda Kane
Slide Deck from the 3/26/2020 virtual meeting of the Cleveland Developer Group presentation on creating a Lightning Aura Component using force:RecordData.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
2. Knolx Etiquette
1. Respect Knolx session timings, you are requested not to join sessions
after a 5 minutes threshold post the session start time.
2. Make sure to submit a constructive feedback for all sessions as it is very
helpful for the presenter.
3. Keep your mobile devices in silent mode, feel free to move out of session
in case you need to attend an urgent call.
4. Avoid unwanted chit chat during the session.
3. Agenda
● Introduction
● Components of GitHub Actions
○ Workflows
○ Events
○ Jobs
○ Steps
○ Actions
○ Runners
● Why care about Github Actions?
● Demo
4. Introduction
● GitHub Actions help you automate tasks within your software development
life cycle.
● GitHub Actions are event-driven, meaning that you can run a series of
commands after a specified event has occurred.
● For example, every time someone creates a pull request for a repository,
you can automatically run a command that executes a software testing
script.
5. The components of GitHub Actions
1. Workflows
2. Events
3. Jobs
4. Steps
5. Actions
6. Runners
6. What are Workflows?
1. The workflow is an automated procedure that you add to your repository.
2. They are made up of one or more jobs and can be scheduled or triggered
by an event.
3. It can be used to build, test, package, release, or deploy a project on
GitHub.
4. Workflows can be created inside the .github/workflows directory by
adding a .yml workflow file.
For example, add .github/workflows/continuous-deployment.yml to your project.
7. What are Events?
1. An event is a specific activity that triggers a workflow. For example, activity
can originate from GitHub when someone pushes a commit to a repository
or when an issue or pull request is created.
2. You can also use the repository dispatch webhook to trigger a workflow
when an external event occurs.
8. What are Jobs?
1. A job is a set of steps that execute on the same runner.
2. By default, a workflow with multiple jobs will run those jobs in parallel. You
can also configure a workflow to run jobs sequentially.
3. For example, a workflow can have two sequential jobs that build and test
code, where the test job is dependent on the status of the build job. If the
build job fails, the test job will not run.
9. What are Steps?
1. A step is an individual task that can run commands in a job.
2. A step can be either an action or a shell command.
3. Each step in a job executes on the same runner, allowing the actions in
that job to share data with each other.
10. What are Actions?
1. Actions are standalone commands that are combined into steps to create a
job.
2. Actions are the smallest portable building block of a workflow.
3. You can create your own actions, or use actions created by the GitHub
community. To use an action in a workflow, you must include it as a step.
11. What are Runners?
1. A runner is a server that has the GitHub Actions runner application
installed.
2. You can use a runner hosted by GitHub, or you can host your own.
3. A runner listens for available jobs, runs one job at a time, and reports the
progress, logs, and results back to GitHub.
12. Types of Runners
1. GitHub-hosted runners are based on Ubuntu Linux, Microsoft Windows,
and macOS, and each job in a workflow runs in a fresh virtual
environment. (GitHub-hosted runner)
2. If you need a different operating system or require a specific hardware
configuration, you can host your own runners. (Self-hosted runner)
13. Supported runners and hardware resources
Hardware specification for Windows and Linux virtual machines:
● 2-core CPU
● 7 GB of RAM memory
● 14 GB of SSD disk space
Hardware specification for macOS virtual machines:
● 3-core CPU
● 14 GB of RAM memory
● 14 GB of SSD disk space
14. Why care about Github Actions?
● Build into Github
○ Github Actions is fully integrated into Github and therefore doesn't require and external
site.
● Multi-container testing
○ Actions allow you to test multi-container setups by adding support for Docker and
docker-compose files to your workflow.
● Multiple CI templates
○ Github provides multiple templates for all kinds of CI configurations which make it
extremely easy to get started.
● Great free plan
○ Actions are completely free for every open-source repository and include 2000 free build
minutes per month for all your private repositories. If that is not enough for your needs you
can pick another plan or go the self-hosted route.