公式動画ピックアップ

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 [Pastries with SREs: No compromises on cost-effective observability or donuts.]

In this episode of Pastries and SREs, we dig into how vendor lock-in and sky-high observability costs are forcing teams to choose between coverage and budget, AND why you shouldn’t have to settle. With donuts in hand, we explore how to take back control of your observability strategy by making it cost-effective, comprehensive, and flexible. We explore: ⦁ Real-world stories of surprise observability charges and blown budgets ⦁ Why partial instrumentation creates critical blind spots in your environment ⦁ How to manage observability costs without sacrificing data fidelity ⦁ The importance of object storage, data lakes, and full-fidelity retention ⦁ Strategies to avoid vendor lock-in and future-proof your stack ⦁ What it takes to build a platform that scales flexibly with your needs, not against them ⦁ Observability should empower your teams, not drain your budget or limit your visibility. 00:00 – Donuts & vendor lock-in: the real cost of switching tools 00:33 – Data retention struggles and breaking out of silos 01:09 – Cutting logs to save costs: why it backfires later 01:44 – Hidden productivity losses from chasing short-term savings 02:11 – Balancing flexibility, value, and budget in observability 02:48 – Case study: financial services storing 100% of traces 03:13 – Cost-efficient data storage and future-proofing your stack 03:35 – Why sampling data breaks ML accuracy (and donuts) 04:01 – Full-fidelity data for anomaly detection and customer insights 04:25 – Predictive observability: stopping problems before they happen Additional Resources: Learn more about Elastic Observability: https://www.elastic.co/observability Start the 14-day trial for free! No credit card required: https://cloud.elastic.co/registration Subscribe to Elastic’s Community YT channel: https://www.youtube.com/c/OfficialElasticCommunity Connect with us on social media: LinkedIn: https://www.linkedin.com/company/elastic-co X: https://twitter.com/elastic Facebook: https://www.facebook.com/elastic.co About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500. #ElasticSearch #ElasticObservability #ElasticSecurity
 31305      2