IN PERSON! Apache Kafka® Meetup Auckland (September 2024)

Hello everyone! Join us for an Apache Kafka® meetup on September 4th from 5:30pm, hosted by Datacom in Auckland!

The address, agenda, and speaker information can be found below. See you there!

📍Venue:
Datacom
58 Gaunt Street, Auckland CBD, Auckland 1010, New Zealand

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🗓 Agenda:

• 5:30pm: Doors open
• 5:30pm - 6:00pm: Pizza, Drinks, and Networking
• 6:00pm - 6:30pm: Marcel Medina, Lead Developer, Datacom
• 6:30pm - 7:00pm: Venky Konapur, Staff Partner Solutions Engineer, Confluent
• 7:00pm - 7:30pm: Additional Q&A & Networking

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💡 Speaker:
Marcel Medina, Lead Developer, Datacom

Bio:
Marcel Medina is a Lead Developer, MCT, MVP Azure and Developer technologies based in Auckland, New Zealand with over 20 years of experience in the tech industry. A playground enthusiast who is passionate about technology and loves to engage with the technical community to share knowledge and exchange experiences.

Talk:
Building Scalable Kafka Streaming Data Pipelines with Azure Functions

Abstract:
In this session, we will delve into integrating Kafka with Azure Functions to create powerful, scalable event-driven solutions. We’ll examine how to effectively use Azure Functions within Kafka streaming data pipelines, including practical insights on leveraging Kafka bindings and exploring Azure Functions hosting capabilities.

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💡 Speaker:
Venky Konapur, Staff Partner Solutions Engineer, Confluent

Bio:
Venky is with Confluent for 5 years and comes from BigData analytics background with a good understanding of Kafka, Spark, Elastic, Hadoop, Datawarehousing etc. He has extensive experience in Architecting BigData solutions at scale.

Talk:
Log Analytics for cybersecurity with Kafka

Abstract:
Log Analytics, involving network and proxy log data, serves as a crucial tool in the realm of cybersecurity and network management. By analyzing network logs, organizations can identify patterns of traffic, detect anomalies, and monitor for potential security threats in real-time. Proxy log data, on the other hand, offers insights into web traffic and user behavior, enabling the identification of malicious websites, compromised users, and data exfiltration attempts. Together, these data sources empower IT teams to enhance network performance, enforce security policies, and respond swiftly to incidents. The integration of machine learning and AI technologies further elevates the capabilities of Log Analytics, providing predictive analytics and automated threat detection. Join this session to understand how Log analytics solution was implemented at a bank at a very high scale around 1 million messages/ sec !!!

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DISCLAIMER
BY ATTENDING THIS EVENT IN PERSON, you acknowledge that risk includes possible exposure to and illness from infectious diseases including COVID-19, and accept responsibility for this, if it occurs.
NOTE: We are unable to cater for any attendees under the age of 18.

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If you would like to speak or host our next event please let us know! community@confluent.io