Elastic November Meetup at Agoda

Join us for our November meetup in Bangkok! Meet the Elastic Community, learn from our Elasticians on what's the newest in the Elastic Stack, and swap stories and use cases with fellow community members.

⭐ Big thanks to Agoda for sponsoring the venue for our November meetup!

📍Venue instructions
Agoda Services Co., Ltd. (Head Office)
44th Floor
999/9 Rama 1 Road The Offices at Central World, Patumwan, Bangkok 10330, Thailand

This event will be livestreamed on TechAtAgoda's Facebook page: https://www.facebook.com/techatagoda/

🎤📝Agenda

6.30pm - Registration, doors and bar open
6.50pm - Take your seats armed with a beverage
7.00pm - The journey of operation from a gigabyte to hundreds terabyte of data on Logging Elasticsearch cluster by Nutchanon Leelapornudom, Database Technical Lead, Agoda
7.30pm - Machine Learning for Anomaly Detection, Time Series Modeling, and More by Tom Grabowski, Machine Learning Principal Product Manager
8.00pm - Q&A, Mingling

Talk 1: The journey of operation from a gigabyte to hundreds terabyte of data on Logging Elasticsearch cluster by Nutchanon Leelapornudom, Database Technical Lead, Agoda
Abstract: This session will show you how our team manage and operate Logging Elasticsearch cluster from few gigabyte to terabytes of data. I will talk about our Elasticsearch Architecture, which cover the area of availability, scalability, performance, JVM, and interested Elasticsearch features (i.e. Dedicated node, Shard allocation, Task management, Index priority), since small local cluster to large global cluster. I will share how we use 3rd party tools for provision, managing, routine scheduling, load balancing, and some in-house tools that our team develop for efficient query distribution, in-deep cluster monitoring and synchronize index mapping. I will also share some issue that I have experiences during scaling the cluster.

Talk 2: Machine Learning for Anomaly Detection, Time Series Modeling, and More by Tom Grabowski, Machine Learning Principal
You don't have to be a data scientist to use Elastic machine learning features to build and operationalize real-time data models. Learn how they're integrated into the Elastic Stack, see how to use time series modeling for anomaly detection and forecasting, and get a firsthand look at new and upcoming features that will extend your use of machine learning to new use cases.

🎉 Local community organizers wanted!
We’d love to have this user group meet more regularly, so we’re looking for a local organizer based in KL who will help the group thrive, and the Community Team at Elastic is here to support you. If you’re interested email us at meetups@elastic.co.