San Francisco Apache Flink Meetup #1 at Wikimedia

*This event is also published via https://www.meetup.com/bay-area-apache-flink-meetup/events/288746042/.*

We'd like to invite you to the first event of this new meetup group, gracefully hosted by Wikimedia with talks by ThousandEyes and Immerok.

Schedule:

• 5:30 Social
• 6:00 - 6:30 Near Real-Time Statistical Modeling and Anomaly Detection using Flink, Kunal Umrigar, Engineer Leader @ ThusandEyes (part of Cisco)
• 6:40 - 7:10 Flink 1.16 in 30 minutes, Konstantin Knauf, Apache Flink PMC, Co-Founder @ Immerok
• 7:10 - ? Social

Talk Details

Near Real-Time Statistical Modeling and Anomaly Detection using Flink

Abstract: At ThousandEyes we receive billions of events every day that allow us to monitor the internet; the most important aspect of our platform is to detect outages and anomalies that have a potential to cause serious impact to customer applications and user experience. Automatic detection of such events at lowest latency and highest accuracy is extremely important for our customers and their business. After launching several resilient and low latency data pipelines in production using Flink we decided to take it up a notch; we leveraged Flink to build statistical models in near real-time and apply them on incoming stream of events to detect anomalies! In this session we will deep dive into the design as well as discuss pitfalls and learnings while developing our real-time platform that leverages Debezium, Kafka, Flink, ElasticCache and DynamoDB to process events at scale!

Bio: Kunal Umrigar is an Engineering Leader with more than 14 years of experience designing big data platforms and distributed systems. He is a Sr. Engineering Manager at ThousandEyes, leads the alerts team to build stream processing pipelines that identify network anomalies in real-time. Prior to this, Kunal worked as Sr. Director, Engineering at PubMatic to build a big data platfom that processed petabytes of data to power and optimize ad serving algorithms. He is a data and ML enthusiast always thrilled to solve tough problems, build a high-performance team and deliver quality software.

Apache Flink v1.16 in 30 minutes

Abstract: What do Apple, Netflix, ByteDance, and other digital leaders have in common? They provide a superior customer experience enabled by data-driven, real-time decisions at scale. For years, Apache Flink has been at the heart of this development, powering use cases at the intersection of real-time analytics and event-driven applications: from instant pricing and fraud detection to real-time data pipelines.

Over time, Apache Flink has become a massive project with a wide variety of use cases and initiatives: unified stream and batch processing, cloud native elasticity, PyFlink and Flink ML to name some of these.

In this talk, I will introduce the main improvements in the latest release of Apache Flink and put them into the context of those larger multi-release threads.

Bio: Konstantin is a member of the Apache Flink PMC and long-term contributor to the project. He recently co-founded Immerok with a group of long-term community members to provide the best experience for building, running, and supporting stream processing applications in the cloud. Formerly, as Head of Product at Ververica, Konstantin supported multiple teams working on Apache Flink in both discovery as well as delivery. Before that he was leading the pre-sales team at Ververica, helping their clients as well as the Open Source Community to get the most out of Apache Flink.