#ci cd

We've all asked ourselves this while waiting an eternity for our CI job to finish. Slow CI not only wrecks developer productivity breaking our focus, it costs money in cloud computing fees, and wastes enormous amounts of electricity. Let’s take a dive into why this is the case and how we can solve it with better, faster tools.

Creating and deploying new software is risky. We've all seen how easily bugs arise, causing software to be poorly delivered or to the wrong people. What's more, depending on how tightly we couple our systems and services, they can interact unexpectedly and unfortunately with existing software or hardware. Beyond unintended consequences, we can also find that people can use our services for nefarious purposes. It's essential to have safety nets in place when things don't go as planned or people attempt to break the rules. In this session, we'll discuss how feature flags can work in both temporary and permanent scenarios to enable you to break the quality triangle and deliver quality promptly.

At AG Grid, we maintain thousands of code demos, with the same demo in Angular, React, Vue, and Vanilla JS. Additionally, each framework has different variations covering JavaScript, TypeScript, Modules, Packages, Hooks, Classes, Vue 2, and Vue 3. How do we do it? We automate. This session will explain how we start with a single TypeScript version and automatically convert it to every combination we need and finally use Cypress to test the converted example.

This talk will cover best practices for performance, stability, security, and maintainability of CI/CD pipelines, each supported with practical examples and counterexamples and tailored towards Vue.js developers.

Microservices present many advantages for running modern software, but they also bring new challenges for both Deployment and Operational tasks. This session will discuss advantages and challenges of microservices and review the best practices of developing a microservice-based architecture.
We will discuss how container orchestration using Kubernetes or Red Hat OpenShift can help us and bring it all together with an example of Continuous Integration and Continuous Delivery (CI/CD) pipelines on top of OpenShift.

Ever run code in CI/CD and builds pass only to fail during deployment? This presentation will discuss the advantages of Smoke Test patterns in CI/CD pipelines using Infrastructure as Code (IaC). Learn how teams can leverage automation to ensure apps are tested live in target environments which provide valuable insights pre-deployment. Angel will demonstrate how to leverage IaC to provision infrastructure, deploy apps, test then destroy all the resources created in a single CI/CD pipeline run.

Software delivery is a top priority for organizations that own software, yet it remains one of the most challenging problems enterprises face today. Continuous integration (CI) and continuous delivery (CD) are software practices that allow organizations and teams to deliver code to customers quickly, safely, and repeatedly. Whether it's to improve development, operations, or security, CI/CD pipelines give engineers and teams more time to work on things that matter and less time struggling with the risk, standards, and velocity of deployments. Join this session to learn about the components of CI/CD and how to build and scale pipelines for the future.

Introducing CI/CD to your project might be a challenging process. In GitLab we value iteration as one of our key values, and in spirit of iteration we will be happy to share how GitLab could help you to gradually work on bringing your project to CI/CD heaven.

Automation of a single monolithic app is pretty straight-forward. Split it into a frontend and backend and it's still manageable. Throw in more components or infrastructure and suddenly you're scratching your head at why a build ran - or didn't run. How many pipelines do I need? How many git repos should I have? Let's walkthrough use cases from small teams who own their entire stack to organizations with central IT units that manage shared infrastructure. Learn which scenarios and criteria determine how to slice but not spaghettify your pipelines.