In today’s world, which is fast-changing in terms of technology, digitization and interconnected, you cannot just rely on certifying the quality of the product based on customer requirements. There are other key factors which need to be considered which will make your product/solution more robust. As a new-age QA, you need to think like an engineer, you need to know each and every aspect of the code, architecture, technologies, platform, infrastructure, environment, alerting, monitoring, data science. Shift left gives you an advantage to build the Quality in from the beginning of the cycle and Shift right gives you an opportunity to look into how the product is being used and behaving in the real world.
With the additional burden of testing everything, there isn’t enough time. Use of right tools and automation is the key to make the testing more data centric, repetitive, and faster. An optimized, secure, intelligent automation and continuously integrated system is essential and can be delivered by using smart end to end solutions by understanding microservices, API’s, protocols and how the platforms leverage cloud computing.
Nice to have things are becoming must-have like – Real-time monitoring, Anytime/Anywhere, Marketing models, Interconnected things, Wearable, IOT. There are many use-cases, app, users, things, and it is not easy to cover every aspect. Let’s try to solve these problems by using a variety of test data, heterogeneous hybrid environments, processing power and time, meeting compliance and following standards, identifying bottlenecks, defining stability and monitoring behaviours.
In this talk, we will cover a real-world scenario on how transformation of Quality Engineering helped deliver an awesome experience to customers. This includes the use of open-source tools and automation of testing/deployment/monitoring.
Talk Takeaways
