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Smooth Scaling: System Design for High Traffic focuses on all things scalability, reliability, and performance. Tune in for expert advice on how to scale systems, control costs, boost availability, optimize performance, and get the most out of your tech stack. Host Jose Quaresma is the VP of Technical Engagement at Queue-it, working on the frontlines with some of the world’s biggest businesses on their busiest days, from Ticketmaster to Zalando to Home Office U.K. He’ll be joined by experts ...
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In this episode, Martin Jensen, Head of Engineering, breaks down the true cost of scaling for peak demand. He explains the limits of autoscaling, when pre-scaling makes sense, and how tools like virtual waiting rooms are used to handle sudden spikes in traffic. Martin also discusses system bottlenecks, performance trade-offs, and practical strategi…
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In this episode, seasoned platform engineer Tristan Watson shares his learnings from handling peak traffic at Rapha and Booking.com. Tristan reveals the key challenges, trade-offs, and best practices involved in preparing infrastructure for high-traffic product drops and collaborations. Whether you're navigating traffic surges or optimizing for res…
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What does it take to build product features that hold up under massive traffic while still delivering a great user experience? Karen Risvig, Head of Product & UX at Queue-it, joins Smooth Scaling to share how her team designs for scalability, resilience, and security from day one. From invite-only waiting rooms to real-time visitor analytics, Karen…
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In this episode, Yam Shal-Bar, CTO at Radview, discusses the the evolving world of load testing and how it's used to prepare for peak traffic. He covers the most common system bottlenecks, the importance of iterative testing, and strategies for accurately simulating user journeys. Yam shares insights into common misconceptions around testing, best …
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What makes a system scalable? In this episode, Mojtaba Saroonghi explains why simplicity is the secret to scalability. Saroonghi explains why avoiding complexity helps minimize the risk of failure while improving troubleshooting, deployment, and the overall scalability of a system. He walks though how Queue-it has maintained simplicity as it has gr…
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