InfoQ - QCon San Francisco 2025 - News

Lessons Learned in Migrating to Micro-Frontends by Luca Mezzalira at QCon SF

Steef-Jan Wiggers — Thu, 27 Nov 2025 10:00:00 GMT

Dynamic technology leader with expertise in transitioning from monolithic to micro-frontend architectures. Advocate for prioritizing architectural intent and cultural changes alongside development. Skilled in optimizing team autonomy, enhancing agility, and streamlining deployment strategies to facilitate rapid, sustainable growth, all while ensuring effective communication and state management.

By Steef-Jan Wiggers

LinkedIn’s Migration Journey to Serve Billions of Users by Nishant Lakshmikanth at QCon SF

Steef-Jan Wiggers — Wed, 26 Nov 2025 10:30:00 GMT

Engineering Manager Nishant Lakshmikanth showcased LinkedIn's transformation at QCon SF 2025, detailing a shift from legacy batch-based systems to a real-time architecture. By decoupling recommendations and leveraging dynamic scoring techniques, LinkedIn achieved a 90% reduction in offline costs, enhanced session-level freshness, and improved member engagement while future-proofing its platform.

By Steef-Jan Wiggers

Rust at the Core: Accelerating Polyglot SDK Development by Spencer Judge at QCon SF 2025

Steef-Jan Wiggers — Mon, 24 Nov 2025 10:00:00 GMT

Innovative SDK team lead Spencer Judge at Temporal unveiled a game-changing strategy at QCon SF 2025: leveraging a shared Rust core to streamline multi-language SDKs. By reducing redundancy and improving efficiency, this architecture addresses the challenges developers face, delivering safer, more portable solutions that enhance the user experience and minimize technical debt.

By Steef-Jan Wiggers

Stripe's Zero-Downtime Data Movement Platform Migrates Petabytes with Millisecond Traffic Switches

Eran Stiller — Mon, 24 Nov 2025 08:30:00 GMT

At QCon SF, a Stripe engineer presented the company's Zero-Downtime Data Movement Platform, a system enabling petabyte-scale database migrations with traffic switches that typically complete in milliseconds. The platform supports Stripe's infrastructure, handling 5 million database queries per second while maintaining 99.9995% reliability for $1.4 trillion in annual transactions.

By Eran Stiller