InfoQ - Distributed Systems

Netflix Serves 84% of Query Results from Cache with Interval-Aware Caching in Apache Druid

Leela Kumili — Mon, 11 May 2026 14:36:00 GMT

Netflix improves Apache Druid performance with interval aware caching, serving 84% of analytics results from cache and reducing query load by 33%. The system decomposes rolling window queries into reusable time segments, enabling partial cache reuse and recomputation only for recent data. At scale, it reduces scan volume, improves P90 latency, and optimizes real time analytics workloads.

By Leela Kumili

OpenAI Introduces Websocket-Based Execution Mode to Reduce Latency in Agentic Workflows

Leela Kumili — Thu, 07 May 2026 14:48:00 GMT

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.

By Leela Kumili

Article: Three Pillars of Platform Engineering: a Virtuous Cycle

Pratik Agarwal — Tue, 05 May 2026 09:00:00 GMT

Platform engineering succeeds when reliability and ergonomics reinforce each other rather than compete. This article explores three foundational pillars: automated reliability, developer ergonomics, and operator ergonomics. Together, they establish a virtuous cycle that strengthens system stability, reduces operational burden, and empowers teams to scale infrastructure with confidence.

By Pratik Agarwal