How to Build Platforms That Don’t Let Audiences Down

Presented by: Lee Sigauke

About this talk

Traffic spikes are normal for platforms in gaming, betting, and entertainment. The real challenge is making sure your systems stay reliable when millions of users arrive at once.

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In this session, Lee Sigauke explores why systems fail during sudden traffic surges and how teams can design platforms that remain stable under extreme demand. She shares practical insights on building resilient architectures that handle high concurrency, unpredictable traffic, and real-time workloads.

Building on ideas explored in his previous blog on transactional systems in Erlang and Elixir, this talk looks at how those architectural principles help platforms remain reliable under unpredictable load.

What you’ll learn:

  • Why traffic surges are inevitable in real-time platforms
  • Common failure patterns during peak demand
  • How concurrency-first design improves reliability
  • Key practices for building resilient, scalable systems

Concurrency, Understanding the BEAM Limits

Concurrency, Understanding the BEAM Limits

Lorena Mireles Rivero explores BEAM concurrency limits and how overload impacts system performance.

Keeping Real-Time Communication Platforms Online During Peak Demand

Keeping Real-Time Communication Platforms Online During Peak Demand

Bartłomiej Górny explores why real-time systems fail under peak demand, and how architecture, scaling, and testing keep them running.

How to Build Systems That Stay Online When Everything Spikes

How to Build Systems That Stay Online When Everything Spikes

Camjar Djoweini breaks down how systems respond to sudden demand and what it takes to keep them running when it matters most.