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EVENT DETAILS |
Hello friends! Please join us for an IN-PERSON Apache Kafka meetup on Wednesday, April 10th from 5:30pm at Jay Conference Bryant Park!
Venue:
Jay Conference Bryant Park Location
109 West 39th Street, Concourse Level
New York City 10018
The London Room
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Agenda:
5:30pm: Doors Open
6:00pm-6:45pm: Kafka Observability - Reducing Outages & Downtime Across the Entire Messaging Environment, Albert Mavashev, CTO at meshIQ
6:45pm - 7:30pm: A Kafka Producer's Request: Or, There & Back Again, Danica Fine, Confluent
7:30pm-8:00pm:Additional Q&A & Networking
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Speaker One:
Albert Mavashev, CTO at meshIQ
Title of Talk:
Kafka Observability - Reducing Outages & Downtime Across the Entire Messaging Environment
Abstract:
Kafka is replacing a wide number of technologies for Streaming & even Messaging infrastructures delivering everything from analytics to even EDA. As Kafka continues to disrupt, 90% of implementations require Kafka to work with ActiveMQ, JMs or MQ. How do you get end-to-end visibility & monitoring for transactions spanning multiple technology stacks?
In this talk, we will discuss ways to achieve observability & management of complex messaging & streaming infrastructures to deliver zero downtime & obtain data topologies & data lineage.
Bio:
As meshIQ's CTO, Albert turns ideas into real-world solutions. Albert's work specialties are Application Performance, Performance Measurement & Practices, Streaming Analytics @ Scale, Clustered Computing, Big+Fast Data, Transaction Analytics, Complex Event Processing (CEP), Middleware, IT Service Management, Ops & DevOps. He is passionate about Blockchain, Bitcoin, Ethereum, Libra, digital tokens/assets, & building & scaling digital de-centralized economies.
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Speaker Two:
Danica Fine, Staff Developer Advocate, Confluent
Title of Talk:
A Kafka Producer's Request: Or, There & Back Again
Abstract:
Do you know how your data moves into your Apache Kafka instance? From the programmer's point of view, it's relatively simple. But under the hood, writing to Kafka is a complex process with a fascinating life cycle that's worth understanding.
Anytime you call producer.send(), those calls are translated into low-level requests which are sent along to the brokers for processing. In this session, we'll dive into the world of Kafka producers to follow a request from an initial call to send(), all the way to disk, & back to the client via the broker's final response. Along the way, we'll explore a number of client & broker configurations that affect how these requests are handled & discuss the metrics that you can monitor to help you to keep track of every stage of the request life cycle.
By the end of this session, you'll know the ins & outs of the read & write requests that your Kafka clients make, making your next debugging or performance analysis session a breeze.
Bio:
Danica Fine is a Staff Developer Advocate at Confluent where she helps others get the most out of their event-driven pipelines. Prior to this role, she served as a software engineer on a streaming infrastructure team at Bloomberg where she predominantly worked on Kafka Streams- & Kafka Connect-based projects. Her expertise in streaming systems has taken her to a number of conferences & speaking engagements over the years, giving her the chance to express her love of Kafka to anyone who will listen. Danica is committed to increasing diversity in the technical community & actively serves as a mentor to a number of women in tech. She can be found on Twitter, tweeting about tech, plants, & baking @TheDanicaFine.
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DISCLAIMER
BY ATTENDING THIS EVENT IN PERSON, you acknowledge that risk includes possible exposure to & illness from infectious diseases including COVID-19, & accept responsibility for this, if it occurs.
NOTE: We are unable to cater for any attendees under the age of 21.
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