We are on the road for this meetup at eBay. We will be taking a look at the latest with the Elastic Stack and how eBay is leveraging the Elastic stack.

RSVP on Meetup.com 

Agenda:

5:00 PM:  Meetup Speaker Introductions and Agenda: 10 Minutes

5:10 PM: The Elastic Stack (ELK) Updates in recent releases: 30Minutes

5:40 PM: Beats for Monitoring at "eBay Scale" 20 Minutes

6:00 PM: Break / Grab Dinner

6:20 PM: Machine Learning + Anomaly Detection in Time-Series Data 20 Mins

6:40 PM: Logs, Metrics, & APM: The Observability Trifecta 20 Minutes

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Know before you go: 

*** Bring PHOTO ID (passport, driver license, etc.) ***

Please provide a valid name so we can get you checked into the building.

How to find us: the only gate that will be open is on Greylands Drive, right by the big eBay sign with the black background. Parking is inside around the Building 7.

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Speaker Bio:

Vijay Samuel

MTS-2 Software Engineer, eBay

Vijay Samuel works with eBay Platform's logging and monitoring team and is an Open source enthusiast. He and his team work on the eBay solution to ship logs and metrics from all eBay applications to its monitoring infrastructure. Vijay is also an active contributor to the Elastic Beats project.

Premendra Singh

Software Engineer, eBay

Premendra Singh is Software Engineer who works with eBay Platform's logging and monitoring team. He has worked on the eBay solution to manage lifecycle of Beats using SaltStack.

Saurabh Mehta

Engineer Leader for Telemetry & Monitoring platform, eBay

He currently leads a team of senior engineers working in this areas building near real time distributed systems which scales up to petabytes of data and billions of data points per day. He has over 12+ years of experience working in technology space. He is passionate about learning, problem solving, and working on big data and distributed systems space.

Andrew Selden

Principal Solutions Architect, Elastic

Andrew has been with Elastic from its earliest stages and has worked on several projects including helping our largest users scale Elastic to multi-petabytes, while artfully balancing performance to millisecond responses.