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.

Paul Meighan, Director of Product Management at AWS, shares how enterprises are increasingly looking for ways to integrate more data sources in their environment — especially with data lakes. From turning S3 buckets into databases to establishing better metadata layers, Meighan explores the rapid evolution of data lakes alongside data warehouses. He also explains the pivotal role AI, ML and GenAI workloads and applications will play in large metadata environments, driving innovative analytics and business insights.

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.

Testsigma Copilot is a GenAI assistant for QA teams that lets you generate test cases and scenarios with just designs, screenshots, or user stories. ️ No manual test development effort️ No missed edge cases️ No delayed or lengthy test cycles.

See how long it takes for the exact same test steps — covering a login flow for Wikipedia — to be created in Rainforest vs. Playwright. Using Rainforest's no-code platform is up to 3x faster than using an open source framework like Playwright to automate end-to-end tests.

Discover how GEP, an AI-powered procurement company, utilized Confluent's data streaming platform to transform its generative AI capabilities. Integrating real-time data into their AI models enabled GEP to provide a contextual chat-based service. This chatbot allowed GEP customers to build their own tools simply by communicating in English with a chatbot.

Learn how GEP, an AI-powered supply chain and procurement company, harnesses real-time data streaming through Confluent Cloud to fuel its generative AI solutions. With seamless integration into Azure OpenAI services and GPT models, GEP’s generative AI chatbot delivers document summaries and risk management insights to its customers.

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.

In this video, Miko Bautista, Staff Product Manager at Kong, introduces the Kong Konnect Service Catalog, your ultimate system of record for managing and discovering all the services and APIs running in your infrastructure. The Kong Konnect Service Catalog helps platform teams gain comprehensive visibility into their entire service ecosystem, whether APIs are powered by Kong Gateway or external systems like AWS API Gateway, Kubernetes, or serverless architectures.

Learn how replication works in Apache Kafka. Deep dive into its critical aspects, including: Whether you're a systems architect, developer, or just curious about Kafka, this video provides valuable insights and hands-on examples. Don't forget to check out our GitHub repo to get all of the code used in the demo, and to contribute your own enhancements.