Join Panel Discussion on Evolution of Testing in the Age of DevOps | Testμ 2023

:microscope: Curious about testing evolution in the age of DevOps? :rocket:

Join our panel of industry leaders as they unravel the journey of “Shipping Confidently” in the era of DevOps. :globe_with_meridians:

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If you have already registered and up for the session, feel free to post your questions in the thread below :point_down:

Here are some of the questions raised by the audience during the panel discussion:

What are the best practices and new strategies in the DevOps age, enabling organizations to enhance quality and efficiency?

How AI/ML can help evolution of DevOps?

How do you perceive the changing role of testers and QA professionals as organizations increasingly adopt practices like continuous testing and shift-left testing?

Why there is always time crunch for QA team and QA is always a bottleneck for deliveries ?

How has the integration of DevOps transformed the approach to testing in modern software development?

What is the testing phase of DevOps?

What insights can you provide about selecting and integrating testing tools that align with DevOps principles while ensuring a seamless and reliable testing pipeline?

What are the key challenges organizations face when trying to balance the need for rapid delivery with the importance of thorough testing?

What role does exploratory testing play in a DevOps setup, and how does it complement automated testing?

What strategies and tools have you found effective for monitoring and ensuring performance, scalability, and reliability in a DevOps context?

Is it mandatory to learn DevOps as a tester? If yes the how much % of it is needed in a day to day activities of a tester?

Do we need to adopt DevOps or TestOps? Which one is better? When should we adopt what ? TestOps, TestSecOps, DevSecOps etc?

What challenges do organizations frequently encounter when implementing a DevOps-driven testing strategy?

What strategies and tools have you found effective for monitoring and ensuring performance, scalability, and reliability in a DevOps context?

How we can bring in Monitoring & Observability as testing type in Implementation Cycle like all traditional types ST, IT, UAT etc?

Incorporating DevOps principles, how can the synergy of Test-Driven Development, Pair Programming, and the proactive shift-left testing strategy be optimized to significantly amplify the execution of unit, system, and mocked UI tests?

How agility is maintained in the era of DevOps and AI?

Any examples of AI tools that can be used to determine the right % of manual testing required ?

Any thoughts on how you document DevOps practices? Do’s and don’ts of DevOps?