2 verified briefings on Scalability. Each story includes a plain-English summary, why it matters, and the concrete action engineering teams should take.
A new approach for running AI agents on Kubernetes argues that assigning one pod per agent is wasteful. Instead, a shared pool of worker pods can run many agents, saving resources and improving efficiency for AI-native applications.
Managing numerous schemas in data pipelines like Kafka and Flink can become complex and costly. An InfoQ article explores this "schema proliferation" and suggests a consolidation strategy to simplify queries, reduce maintenance, and make systems more scalable and resilient.