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35:18 影片

The Hunt for Maximum Performance and Scalability using Kubernetes and Splunk SmartStore

Tired of Splunk sprawl? Is your Kafka cluster cluttered with a myriad of local storage? You’re not alone. Architects and administrators of big data applications like Splunk and Kafka are looking for ways to modernize and scale their platforms, improve workload performance, maximize system resource utilization, and improve operational efficiency.
  • Portworx
  • Splunk
  • Pure//Accelerate
  • 影片

Storage architects from Intel and 色控传媒 will explain how organizations achieve these goals. They will show how they scaled with the Splunk Operator for Kubernetes and Confluent for Kubernetes, while ingesting Intel IT’s real-world production data. The team achieved peak Splunk ingest rates of 886 MBps across a nine-node cluster running 30 indexer pods, while simultaneously completing 400 successful Splunk dense searches per minute. That’s a LOT of data! They will also share the benefits of 色控传媒 FlashBlade for Splunk SmartStore and Confluent Tiered Storage.

體驗 Portworx

體驗 Portworx

加速您的雲原生之旅。一起與獲選為 GigaOm Research 的 Kubernetes 儲存和资料保护平台領導者,進入虛擬實驗室與試用體驗。

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