InfoQ Homepage Low Latency Content on InfoQ
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Spotify Builds External Index to Enable Low Latency Point Queries on its Data Lake
Spotify introduced external indexing architecture for Apache Parquet data lakes that enables low-latency point queries without replicating datasets into operational databases. The approach maps lookup keys to Parquet files and row locations, allowing targeted reads from cloud object storage while supporting analytics, machine learning, AI applications, and online services from the same datasets.
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JioHotstar Explains the Distributed Engineering behind Personalized Ad Requests at Streaming Scale
JioHotstar explains the distributed architecture behind its real-time ad request workflow, covering ad decisioning, waterfall tiering, pacing algorithms, latency optimization, and service coordination required to select and deliver personalized advertisements during streaming playback at scale.
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GitHub Increased Instant Navigation from 4% to 22% by Rethinking Client Side Architecture
GitHub redesigned GitHub Issues navigation using a client-side architecture that combines caching, predictive prefetching, and service workers to reduce perceived latency. The approach uses IndexedDB, in-memory caching, and background synchronization to serve data faster. GitHub reported instant navigation improvements from 4% to 22%, with latency reductions across multiple navigation paths.
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Netflix Cuts Cassandra Read Latency from Seconds to Milliseconds with Dynamic Partition Splitting
Netflix engineers introduced dynamic partition splitting for Cassandra to address wide partitions in time series workloads. The metadata-driven approach detects oversized partitions, splits them smaller units, and routes reads across child partitions. Netflix reported lower read latency from seconds to milliseconds, reduced timeouts, and improved cluster stability while maintaining transparency.
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Pinterest Uses Content Fingerprints for URL Deduplication across Millions of Domains
Pinterest introduced MIQPS, a URL normalization system that identifies which query parameters affect page identity using rendered content fingerprints. It reduces duplicate processing across millions of domains by replacing rule-based approaches with offline analysis, anomaly detection, and runtime parameter maps, improving ingestion efficiency and scalability in large-scale content pipelines.
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30+ Updates per Second per Account: Uber Scales Ledger Processing with Batching
Uber introduced a high-throughput financial ledger processing system designed to handle hot account write contention at scale. Using 250ms batching, Redis coordination, and optimistic atomic updates, the system supports 30+ updates per second per account while preserving consistency and auditability, reducing multi-hour processing pipelines to minutes in its distributed accounting infrastructure.
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Shopify Reports 15X Faster Graphql Execution with Breadth First Engine
Shopify introduced GraphQL Cardinal, a new execution engine replacing depth-first traversal with breadth-first execution. The redesign improves large-scale GraphQL performance with up to 15x faster field execution, 6x lower GC overhead, and +4s P50 latency gains. It focuses on execution-layer efficiency and batched resolver processing for high-cardinality commerce queries.
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Agoda Builds Multimodal Content System to Bridge Images and Reviews in Travel Discovery
Agoda unifies hotel images and guest reviews using a shared topic taxonomy, enabling multimodal retrieval across 700M+ images and multilingual reviews with offline enrichment and low-latency serving.
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Swiggy Improves Search Autocomplete Using Real Time Machine Learning Ranking
Swiggy detailed real-time machine-learning ranking system for autocomplete built on OpenSearch. The architecture separates candidate generation and ranking, uses feature stores for real time signals, and applies learning to rank models for improved relevance. It replaces heuristic ranking while maintaining strict latency constraints and enabling continuous model updates from user behavior signals.
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OpenAI Introduces Websocket-Based Execution Mode to Reduce Latency in Agentic Workflows
OpenAI introduces a WebSocket-based execution mode for its Responses API to improve agentic workflow performance in coding agents and real-time AI systems. The update reduces latency by up to 40 percent by replacing HTTP request-response cycles with persistent connections, improving streaming, tool execution, and multi-step orchestration in production-scale AI systems.
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Cloudflare Introduces Flagship: an Edge-Native Feature Flag Service Built on OpenFeature
Cloudflare recently announced the closed beta of Flagship, a new feature flag service built directly into its global edge platform. The service lets teams control feature rollouts and experiment with changes without redeploying code, while evaluating flags locally in Cloudflare Workers rather than calling external flag services.
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Inside Agoda’s Storefront: a Latency-Aware Reverse Proxy for Improving DNS Based Load Distribution
Agoda engineers developed Storefront, a Rust-based S3-compatible reverse proxy that improves load balancing, request routing, and observability across large-scale object storage systems. The proxy addresses DNS-based distribution limitations, implements latency-aware routing, cross-data-center optimizations, IO safeguards, credential-less authentication, and exposes telemetry via OpenTelemetry.
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Inside Netflix’s Graph Abstraction: Handling 650TB of Graph Data in Milliseconds Globally
Netflix engineers built Graph Abstraction, a high-throughput platform managing 650 TB of graph data with millisecond latency. Supporting services from Netflix Gaming’s social graphs to operational topology graphs, it maintains global availability via asynchronous replication. This article covers its architecture, caching, and traversal design for high-scale performance.
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Cloudflare Introduces Local Uploads for R2 to Cut Cross-Region Write Latency by 75%
Cloudflare has recently introduced Local Uploads for R2 in open beta. The new feature optimizes write performance for globally distributed users without changing bucket location, reducing cross-region write latency.
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Reducing Onboarding from 48 Hours to 4: inside Amazon Key’s Event-Driven Platform
Amazon Key modernized its event platform by adopting a centralized, event-driven architecture built on Amazon EventBridge. The redesign processes millions of daily events with millisecond latency, improves schema governance, automates cross-account routing, and reduces service onboarding time from 48 hours to four, while maintaining 99.99 percent reliability.