Agile + DevOps Virtual 2021 - Continuous Integration/ Continuous Delivery
Monday, June 7
What DevOps Means for Testers and Testing
DevOps is more than a buzzword or a passing fad. It's a radically new approach to rapidly deliver high-quality software applications. However, many organizations don’t fully grasp the magnitude of this change or what it means for everyone involved in the software development lifecycle. Jeffery Payne says that DevOps—when done right—drives higher quality and efficiency into software development, software testing, and application management activities. It empowers teams to remove impediments to quality and productivity throughout the entire software lifecycle. However, when DevOps is done...
Tuesday, June 8
Agile Project Failures: Root Causes and Corrective Actions
Agile initiatives always begin with high expectations—accelerate delivery, meet customer needs, and improve software quality. The truth is that many agile projects do not deliver on some or all of these expectations. If you want help to ensure the success of your agile project or to get an agile project back on track, this tutorial is for you. Jeffery Payne discusses the most common causes of agile project failure and how you can avoid these issues or mitigate their damaging effects. Poor project management, ineffective requirements development, failed communications, software development...
Wednesday, June 9
No Silos. Building an Effective (Rainbow Monkey Unicorn Pony) Program
It doesn't matter you call it DevOps, DevSecOps, or Rainbow Monkey Unicorn Pony - security is an integral part of the software development lifecycle. Even though we understand this, it's often difficult to know how to start building an effective DevSecOps program. This presentation will address four pillars of a successful application security program: Analysis, Validation, Observation, and Enablement and how they enable an organization to develop, deliver, and deploy applications from an idea to a customer facing environment. We'll discuss how to roll out a collaborative DevSecOps program...
Terraform Infrastructure as Code: Best Practices and Common Mistakes
PreviewTerraform is one of the most common coding platforms for managing cloud infrastructure as code. I have been using Terraform to manage infrastructure on the cloud for several years now. Additionally, I coach DevOps teams in large enterprises that implement 100% infrastructure as code. Everything in this presentation comes from experience. I'll guide you through a series of best practices including source code management, environment management, execution through pipelines, modularizing Terraform code so it can be reused across the enterprise, and much more. Additionally, I'll review...
DevOps Engineering with containers to enable microservices
Are you trying to follow the industry and shift from a monolithic system to a widely distributed, scalable, and highly available microservice architecture? Maybe you already shifted to Agile delivery models, but you’re struggling to keep up with the rate of change in the technologies of these systems. Your DevOps team has thrown a bunch of automation in place to help this, but it seems to be creating a bigger, different mess that results in broken systems that don’t work together.
To succeed, you need to properly design and implement your delivery process with the right technology...
Turning Infrastructure Into Software Through Cloud Engineering
In this talk, Paul will demonstrate why defining infrastructure in general programming languages is a better choice for infrastructure management. From defining resources to testing and validation, software engineering processes and best practices can be applied to cloud infrastructure help teams to ship faster.
Pulumi is an open source tool that allows users to write their infrastructure code in TypeScript, Python, DotNet or Go. General-purpose languages allow infrastructure code to have integrated testing, compile time checks as well as being able to create infrastructure APIs...
Testing a Data Science Model
I have heard from other senior testers around the world that they know of data science teams but no testers testing the models, how do we have enough confidence what is produced is good enough? A model is a statistical black box, how to test it so we understand its behaviours to test is properly. Main aim would be to help inspire testers to explore data science models. I’d like to share how I explored the world of data science when testing a model and how we can apply that if we find ourselves in this situation. It is an emerging area for testers and exciting. I’d like to invite you to my...
Thursday, June 10
What Can We Learn about our Agile Transformations from Wardley Maps?
PreviewAfter over a decade of agile transformations, many organizations are looking for signs that the change is complete. You are faster, more focussed, and delivering a product with higher quality, but when are you done? Models of Agile maturity have emerged that promise to measure “how agile you are”, with some mythical end point. By introducing a Wardley Maps in the context of business agility, you will be able to map out the path of your transformation, fill in any gaps that you may have, and begin to understand what direction your transformation may take you in the future. Business...
Take your business to the next level with DevOps OKRs
PreviewObjectives and Key Results, or OKRs are a popular concept nowadays. The reason why OKRs work is because they are about motivation (teams setting objectives that they are passionate about), collaboration (people who have similar passion collaborating to achieve results), and innovation (no one tells them how to achieve these results). OKRs are aligned across the organization so that everyone has a chance to contribute. One of the primary areas where OKRs are extremely important and not yet fully discovered is DevOps. The topic OKRs with a focus on one of the most complex and...
Quality Gates in Test Automation
PreviewOur organization adopted the CI/CD model for all product validation tasks just over 1 year ago with automated testing being primary step in the pipeline. We discovered that test automation eventually became a bottleneck within the pipeline due to its flakiness and constant maintenance. We determined a need to treat test automation development similar to product development. This allowed us to define multiple Quality Gates in test automation development by utilizing our own CI/CD pipeline. Now, we have tremendous confidence in our test automation and its stability in product...
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Developing + Testing a Web App with Continuous Integration
Continuous integration seems to be a difficult topic that often eludes many individuals. Some typical questions that arise are which technologies should we use and how do we actually put everything together? However, CI doesn't need to be so difficult with the combination of the right tools. In this live-coding session developers will learn how to create a web-app using React. Afterward, we will shift-left by adding some automated unit tests using Jest. Next, we will shift-right by adding some functional tests using Cypress.io. Finally, the developers will learn how to continuously build...