Join the Elastic Silicon Valley User Group and Pure Storage on Tuesday, March 5th, for a meetup. We will have presentations by Elastic and PureStorage, followed by networking, light bites, and refreshments.

Date and Time:

Tuesday, March 5th, from 5:00-7:30 PDT

Location:

Pure Storage HQ - 2555 Augustine Dr, Santa Clara, CA 95054

Parking:

Please check in at the lobby upon arrival and validate your parking

Agenda:

• 4:30 pm: Doors open; say hi, grab a seat, and eat some food.
• 5:30 pm: Optimize Performance and Cost for Elastic on Pure Storage - Victor Olmedo, Pure Storage
• 6:15 pm: Elasticsearch Query Language (ES|QL) - Geetha Anne, Senior Solutions Architect at Elastic
• 6:45-7:30 pm: Networking & refreshments

Talk Abstracts:

Optimize Performance and Cost for Elastic on Pure Storage - Victor Olmedo, Pure Storage

Enterprises can generate application, infrastructure monitoring and security log data at up to petabyte scale every day. This massive storage requirement poses serious cost pressures. Log analytics tools such as Elastic need storage that scales out seamlessly and balances performance and cost. Learn how a modern data storage platform helps Elasticsearch to stream log files securely and build apps that search across billions of files in real-time.

Elasticsearch Query Language (ES|QL) - Geetha Anne, Senior Solutions Architect at Elastic

Elasticsearch and Kibana added a brand new query language: ES|QL — coming with a new endpoint (`_query`) and a simplified syntax. It lets you refine your results one step at a time and adds new features like data enrichment and processing right in your query. And you can use it across the Elastic Stack — from the Elasticsearch API to Discover and Alerting in Kibana. But the biggest change is behind the scenes: Using a new compute engine that was built with performance in mind. Join us for an overview and a look at syntax and internals.