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Elastic for Search & Analytics
Cloud Computing
July 17, 2019 05:00 - 33 minutes - 23.3 MB - ★★★★ - 79 ratingsTechnology News Tech News Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
SHOW: 406
DESCRIPTION: Brian talks with Steve Kearns (@skearns64, VP Product Mgmt @Elastic) about how search is being used in many ways of our day-to-day life, how search has evolved to be a core element of Analytics platforms, and how Elastic search is evolving to help the next generation of developers in area like APM, Security, Metrics, etc.
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Digital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital OceanDatadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirtGet 20% off VelocityConf passes using discount code CLOUDCLOUD NEWS OF THE WEEK:
AT&T and IBM announce multi-year strategic allianceVenture Capital funding surges thanks to mega roundsJohn Deere Acquires golf Software, OnLinkMore bad multi-cloud terms ("Poly-nimbus")SHOW INTERVIEW LINKS:
Elastic Homepage - Open Source Search & AnalyticsElastic-On-TourSHOW NOTES:
Topic 1 - Welcome to the show. Before we get into your work at Elastic, can you tell us a little bit about your background?
Topic 2 - Let’s start with the basics of search. Everyone knows about how they use Google for their day-to-day activities, but what are some of the common uses of search in a business or IT context that people might not think about or know about?
Topic 3 - Elastic is mentioned very frequently in the “search” discussion, but then it’s also included in a number of popular “stacks” (ELK stack, EFK stack, etc.). How does Elastic think about search being a core component of many other stacks (Metrics, APM, Security, etc.), some of which you may not have any immediate visibility to?
Topic 4 - What are some of the evolutions that are happening around search (or broader stacks) that are interesting to developers?
Topic 5 - How does Elastic think about how or when customers (or developers) are consuming Elastic technologies, across OSS, commercial software and SaaS offerings?
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