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Breaking Silos: Netflix Introduces Upper Metamodel to Bring Consistency across Content Engineering
Netflix has introduced the Upper metamodel within its Unified Data Architecture (UDA) to standardize domain definitions and generate consistent data container representations. UDA links conceptual models to GraphQL, Avro, SQL, and Java artifacts, supporting projections, mappings, and knowledge graph-based discovery across content, advertising, and operational systems.
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Cloud Native Computing Foundation Graduation of CloudEvents: Q&A with Clemens Vasters
Earlier this year, the Cloud Native Computing Foundation (CNCF) announced that CloudEvents had graduated. CloudEvents is a specification designed to expose event metadata in a standardized manner, which helps to ensure interoperability across platforms, services, and systems.
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How LinkedIn Serves over 4.8 Million Member Profiles per Second
LinkedIn introduced Couchbase as a centralized caching tier for scaling member profile reads to handle increasing traffic that has outgrown their existing database cluster. The new solution achieved over 99% hit rate, helped reduce tail latencies by more than 60% and costs by 10% annually.
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Netflix Studio Search: Using Elasticsearch and Apache Flink to Index Federated GraphQL Data
Netflix engineers recently published how they built Studio Search, using Apache Kafka streams, an Apache Flink-based Data Mesh process, and Elasticsearch to manage the index. They designed the platform to take a portion of Netflix's federated GraphQL graph and make it searchable. Today, Studio Search powers a significant portion of the user experience for many applications within the organisation.
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Introducing Microsoft Avro
Microsoft has announced their implementation of the Apache Avro wire protocol. Avro is described a “compact binary data serialization format similar to Thrift or Protocol Buffers” with additional features needed for distributed processing environments such as Hadoop.