Join the Elastic Chicago User Group for a meetup at our office. Matt Genelin (Channel Solutions Architect at GitLab) and Sang Lee (Senior Solutions Architect and Elastic) will present, followed by networking, refreshments, and pizza.

RSVP Instructions:

Please register no later than Friday, February 16th, 2024. We need to provide a list of the attendees' names to building security 48 hours before the event and visitors will be emailed a QR code for elevator access. Visitors will still need to check-in at the lobby with an ID for access to the 9th-floor lounge.

Date and Time:

Tuesday, February 20th, from 5:00-7:00pm CDT

Location:

Industrious Ogilvie 9th Floor Lounge - 500 West Madison Street Chicago, IL 60661

Agenda:

• 5:00 pm: Doors open; say hi, grab a seat, and eat some food.
• 5:30 pm: Elasticsearch & GitLab's AI-Powered DevSecOps Platform followed by Q&A - Matt Genelin, Channel Solutions Architect at GitLab
• 6:00 pm: Elasticsearch Query Language (ES|QL) - Sang Lee, Senior Solutions Architect at Elastic
• 6:30-7:00 pm: Networking & refreshments
• 7:00 pm: Event ends

Arrival Instructions:

Ride the mall escalators at the entrance to the building to the security desk on the 3rd floor where you'll use the Access Code sent to you via email at the turnstiles (Please feel free to lean on the security team if you need any direction - they are very helpful).

From there, you can proceed to the Industrious Suite on Floor 10 and check in at the Community Desk for your host Sang Lee for the Elastic Meetup. The event itself takes place in the 9th-floor lounge.

Talk Abstracts:

Elasticsearch & GitLab's AI-Powered DevSecOps Platform - Matt Genelin, Channel Solutions Architect at GitLab

Searching across Git project repositories can be difficult. GitLab self-managed can be configured to make use of Elasticsearch for fast, performant searching. In this 30 minute talk, Matt Genelin will demo how to enable and use Elasticsearch with a self-installed instance of GitLab.

Elasticsearch Query Language (ES|QL) - Sang Lee, 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.