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  • Data

    Taming Your Growing Data Schemas

    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.

    Taranpreet Singh · Jun 15, 2026

  • Data

    LivePerson Slashes GCP Data Costs

    LivePerson significantly cut its Logstash processing costs on Google Cloud by over 50%. The company achieved this by systematically benchmarking GCP machine types, ultimately switching to AMD Milan-based instances. They also found that Kafka compression codec selection independently boosted throughput.

    Taranpreet Singh · Jun 3, 2026

  • Infra

    Apache Kafka's Cloud-Native Future

    Apache Kafka is evolving into a cloud-native platform. This shift involves tiered storage for cost efficiency, better financial operations (FinOps) telemetry, and elastic scaling. Architects are also exploring a future where Kafka could operate without local disks, changing its core operational model.

    Ashish Kale · May 26, 2026

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