Sitar-agent: Building a reliable dynamic configuration sidecar at scale
Reliably delivering configuration changes to thousands of Airbnb service instances in Kubernetes, with changes occurring multiple times per minute at scale.
When history fails you, borrow from geography
Building reliable forecasting models for marketplace demand when historical data is unavailable or unreliable due to unprecedented market shocks.
Your AI bill is out of control. Cloudflare can fix it now.
Uncontrolled spending on API calls to multiple AI providers due to lack of visibility and budget enforcement mechanisms.
Dynamic Repartitioning for Time Series Workloads
Netflix needed to efficiently partition and scale time series data across Cassandra clusters to handle petabytes of temporal event data while maintaining millisecond latency query performance.
Rethinking risk in the age of AI
Detecting and preventing fraudulent payments in real-time as AI tools become more sophisticated and lower barriers to attack.
How we built Cloudflare's data platform and an AI agent on top of it
Cloudflare needed to unify fragmented analytics data across its global edge network and enable intelligent querying of that data at scale.
SilverTorch: Index as Model — A New Retrieval Paradigm for Recommendation Systems
Meta needed to improve the throughput and compute efficiency of retrieval systems for recommendation engines that process user-generated content at massive scale.
From Silos to Service Topology: Why Netflix Built a Real-Time Service Map
Netflix needed a real-time, dynamic way for engineers to understand service dependencies and troubleshoot issues quickly across their complex distributed microservices infrastructure.
Expanding Stripe Radar to protect more of your business
Detecting and preventing fraud across heterogeneous payment methods and merchant platforms while identifying emerging fraud patterns like multi-account abuse and pay-as-you-go abuse.