STAREAST 2023 - Architecture - Design
Customize your STAREAST 2023 experience with sessions covering architecture and design.
Wednesday, May 3
Leveraging Machine Learning & AI for Quality Assurance
Machine learning, artificial intelligence… It’s everywhere. Everyone is talking about it. It’s the next “BIG” thing that is expected to bring in over 10 trillion into the economy by 2030. But what is it? And what can it do for you? Join David for an explanation on machine learning and AI and the many benefits each provides. Furthermore, you will dive deeper into three areas in which machine learning and AI can be utilized to improve the quality of your software and users’ experience, such as: 1. Utilizing machine learning to identify patterns in analytics to essentially provide enhanced...
High Octane DevOps: Supercharged CI/CD Pipelines
PreviewTo reinvent the wheel is to attempt to duplicate, most likely with inferior results and technical debts. Within a large-scale organization the true cost of CI/CD is the toil involved when effort is repeated to create the same or similar pipeline functionality. What we discovered during a CI/CD journey is that the key to creating powerful and efficient CI/CD or automation testing pipelines is in not writing pipeline logic at all. The formula that was unlocked is in focusing on the atomic level of the reusable code within pipeline stages. By harnessing the power of creating small...
Tactics for Testing DevOps Infrastructure Code
With the cloud, infrastructure such as networking, security, virtual machines, and much more is entirely software code. Instead of manually creating cloud environments for applications and making changes, administrators write code to do that work. When changes are needed, that code is enhanced and re-run. Just like application code, infrastructure code needs to be tested. After all, code that introduces defects into existing environments can put developers, testers, and even end-users out of service. That said, most organizations do not adequately test infrastructure code. Anybody in this...
Thursday, May 4
Automated CSV Data Comparison & Advanced Field-Level Validation Utility
PreviewTo satisfy the validation requirements and ensure processed data accuracy, QA Test Engineers within an organization often face the challenge of completing major regression tasks that require detailed comparison of multiple pairs of CSV files. These files can be very large at times (thousands of rows & hundreds of columns per file). Testers also need to detect the presence of any duplicate records within those files along with the deltas (extra or missing records on both sides of the CSV pairs). Beyond those challenges the automation utility needed has to be reusable &...
Engineering Productivity via Metrics
Even at a startup, engineering teams can grow quickly, with a proliferation of tools, teams. processes, agile methodologies, meetings, interviews and so on. How does one begin to think about getting a pulse on how the teams are performing, how code is being delivered, what are the obstacles that developers are facing? Where do you start? We addressed the problem by taking a stock of all things in flight, starting to think about how to even begin assigning metrics to seemingly intangible things like developer happiness and related obstacles Having one source of truth for all these metrics,...