Is it better to launch fast or wait for perfection? @Saurabh Shanbhag explains the "fail fast" strategy, where teams quickly release imperfect products to get real customer feedback and improve. Instead of taking years to perfect, they launch in months, see what works, and adjust from there. This approach helps companies adapt, find market fit, and build better products based on actual user insights.

Can engineers ever guarantee that nothing will break? @Saurabh Shanbhag explains why unexpected failures are always possible in today’s interconnected tech world. The key is to control what you can and collaborate to build resilient systems. Here’s how to approach it: Watch this episode of Test Case Scenario to learn more about building reliable systems.

Explore how the Sauce Labs and Deque integration empowers you to achieve digital inclusion and ensure compliance with accessibility standards.

Is catching bugs before production really possible? @Saurabh Shanbhag from @DoorDash shares insights on how minimizing bugs is a team effort and not just the responsibility of engineers or QA testers. Collaboration across roles is key to ensuring product reliability. Here’s how teams can prevent issues before launch: Watch this episode of Test Case Scenario to learn more about bug prevention strategies that actually work.

How do you ensure your software system is reliable from design to deployment? In this episode of Test Case Scenario, Jason Baum and Evelyn Coleman sit down with Saurabh Shanbhag, Software Engineer at DoorDash, to discuss the best approaches for preventing bugs and building reliable systems. Saurabh draws on his experience from Amazon, Uber, and DoorDash to explain how teams can focus on strong initial design, thorough testing, and smart monitoring to keep systems running smoothly.

Your partners can make or break critical moments. @Marcus Merrell shares a story about a Black Friday mishap that cost $200,000 due to a partner’s system failure. Customers faced errors with no clear alternatives, leaving them frustrated and the business scrambling. It raises an important question: Are you prepared for when things go wrong, or are you leaving your users stranded without options? It’s not just about the tech—it’s about how you build trust and ensure your users feel supported, no matter what.

Your testing choices impact customer relationships. @Marcus Merrel shares a story about a teammate being unable to pay a simple bridge toll online—Safari, Chrome, incognito mode, nothing worked. No chat support, no phone number. His only option? Wait for a collection letter to arrive in the mail. That’s so frustrating. But what stands out most is the bigger question: Are your users forced to stay because they have no choice, or are you actively earning their loyalty by providing a seamless, supportive experience?

Testers, how can you prepare for Black Friday? @MarcusMerrell suggests running real practice drills. Build an environment as close to production as possible and simulate an outage with your team to see how prepared you really are. These drills help reveal issues in your response process that you might not realize until it’s too late. By practicing in a realistic environment, your teams get more confidence handling real-world outages.

Delivering high-quality digital experiences during the holiday season is crucial, with 30% of annual revenue on the line. Developers need scalable, secure, and compliant infrastructure to ensure smooth releases and easy software testing. However, over 60% of developers admit to releasing untested code to meet deadlines, risking bugs and jeopardizing customer experience and revenue. Listen to the discussion about how to mitigate risk, catch bugs earlier, and test securely at scale in preparation for a busy holiday season.

Is manual testing enough to keep up with the speed of modern development? @Allen Loew from Progressive Leasing explains that while there’s still a place for manual testing in specific cases, automation is becoming a necessity. Automation helps teams maintain the velocity required to meet deadlines. As projects grow in complexity and size, automation is essential to manage large volumes of tests and data efficiently.