Load Testing for Peak Traffic with Radview's Yam Shal-Bar

Smooth Scaling: System Design for High Traffic

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8M ago 36:20

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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 practices, and trends like AI for test analysis and API-level testing. Whether you're launching a new web app or tuning an existing one, this episode is packed with practical advice for testing systems for resilience and scalability.

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This episode's guest is Yam Shal-Bar. Yam Shal-Bar is an experienced development leader and software architect with over two decades of expertise in managing distributed teams and delivering enterprise-scale software solutions. As CTO at RadView Software, he drives the company’s technical roadmap and leads the development of core products, including RadView’s performance testing platform and web dashboard. Throughout his career—including leadership roles at British Telecom, Reliance Infocomm, and Vodafone—he has championed Agile methodologies, DevOps practices, and CI/CD pipelines to deliver robust, scalable systems.

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. Each week, he’ll be joined by experts across industries, uncovering how major organizations design, build, and deploy systems that perform at scale.

This podcast is hosted by José Quaresma, researched by Joseph Thwaites and produced by Perseu Mandillo.

(00:00) - Intro
(00:59) - Yam Shal-Bar and Radview
(02:20) - Simulating User Journeys
(05:00) - How to approach load testing?
(06:25) - What are common finds when load testing?
(10:42) - Different perspectives on "capacity"
(16:05) - The playbook of load testing
(18:50) - What are common bottlenecks in complex systems?
(20:32) - Third-party services and load testing
(23:33) - What exactly are you load testing?
(26:11) - What is changing within the load testing space?
(27:39) - API and User Journey testing
(30:56) - Rapid-Fire Questions
(35:25) - Wrap Up

18 episod

#Tech #Queue-it ApS #Scalability #Cloud Architecture #Load Testing #Software Reliability #Peak Demand Engineering #Cost Optimization #Devops At Scale #Business #Design #High Traffic #Event Driven Architecture