Abstract
High-demand events can cause sudden traffic spikes that can overwhelm even well-designed systems. In ticketing platforms, millions of users, alongside increasingly sophisticated automated agents, may arrive simultaneously, placing extreme pressure on backend services.
At SeatGeek, resilience is achieved by distributing defensive responsibilities across multiple layers of the platform. Edge caching and shielding absorb traffic bursts before they reach the origin. API gateways enforce fairness through layered rate limiting and request validation. Deeper in the stack, Kubernetes-native networking and policy controls help protect service boundaries and provide visibility into emerging bottlenecks.
This layered approach allows the system to shed load early, protect critical services, and degrade gracefully during extreme demand. But resilience is not static. Traffic patterns evolve, new automated personas emerge, and defenses must adapt continuously through observability and business-specific signals.
In this talk, we will explore the architecture and operational lessons behind building multi-layer shields that protect core systems under internet-scale traffic, ensuring that failures fail safely without bringing down the entire ecosystem.
Speaker
Anderson Parra
Staff Software Engineer @SeatGeek
Anderson Parra is a Staff Software Engineer on SeatGeek’s Cloud Platform team, where he works on the infrastructure that powers high-demand ticket onsales. His work focuses on building resilient systems that can withstand internet-scale traffic and on designing layered defenses across edge, API gateways, and Kubernetes platforms to protect core services while preserving a fair user experience.
Over the past 18+ years, Ander has built and operated large-scale distributed systems handling massive traffic and data volumes for companies in Brazil, Ireland, Germany, the UK, and the United States. He has worked across a wide range of technologies, including Java, Scala, Go, Ruby, Python, JavaScript, and Lua, with a strong focus on platform engineering and distributed systems.
Anderson holds a master’s degree in distributed systems based on his research, “A Lightweight Reconfiguration Solution for Paxos”.