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AAPL   ADBE   ADSK   AIG   AMGN   AMZN   BABA   BAC   BL   BOX   C   CHGG   CLDR   COKE   COUP   CRM   CROX   DDOG   DELL   DIS   DOCU   DOMO   ESTC   F   FIVN   GILD   GRUB   GS   GSK   H   HD   HON   HPE   HSBC   IBM   INST   INTC   INTU   IRBT   JCOM   JNJ   JPM   LLY   LMT   M   MA   MCD   MDB   MGM   MMM   MSFT   MSI   NCR   NEM   NEWR   NFLX   NKE   NOW   NTNX   NVDA   NYT   OKTA   ORCL   PD   PG   PLAN   PS   RHT   RNG   SAP   SBUX   SHOP   SMAR   SPLK   SQ   TDOC   TEAM   TSLA   TWOU   TWTR   TXN   UA   UAL   UL   UTX   V   VEEV   VZ   WDAY   WFC   WK   WMT   WORK   YELP   ZEN   ZM   ZS   ZUO  

  公式動画&関連する動画 [Architecting Log Management for Privacy and Scale without the Headache]

As companies grow, they inevitably hit a wall: observability data explodes while privacy requirements become stricter. For years, engineers have faced a painful tradeoff—either ship petabytes of sensitive data to a central cloud (incurring egress costs and compliance risks) or manage a complex self-hosted stack that is painful to scale. In this talk, we’ll break down why this struggle exists and how to fundamentally rethink our approach to high-volume data. We’ll introduce CloudPrem (based on OSS Quickwit), a Datadog BYOC solution that keeps data where it is generated while maintaining high performance. We’ll also discuss why raw speed isn’t enough. We treat User Experience (UX) as a first-class citizen to build not just a powerful system, but the simplest one for developers, SREs and agents to use. You’ll walk away with a blueprint for handling petabytes of logs—keeping them private, cost-efficient, and instantly accessible.
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