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This meetup is for your fellow event streaming enthusiasts!
The topics discussed at our events are all about event streaming, including Confluent Platform, Confluent Cloud, Apache Kafka®, Kafka Connect, streaming data pipelines, ksqlDB, Kafka Streams as well as stream processing, Security, Microservices and a lot more!!
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Head to http://cnfl.io/get-involved-mu if you have any questions, ideas, concerns or if you want to contribute in some way!
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Upcoming events (2)
See all- IN-PERSON: Apache Kafka® x Apache Flink® x Apache Iceberg x GrafanaHCS Company, Amsterdam
IMPORTANT: PLEASE RSVP @ https://www.meetup.com/grafana-friends-amsterdam/events/310610414/
📕 Agenda
17:30 Open doors.
18:00 Food & Drinks
18:30 Meetup starts1️⃣ "Supercharging Grafana with Community Plugins" by Imma Valls, Staff Developer Advocate at Grafana Labs.
Grafana is powerful on its own, but its true potential lies in its vibrant community of plugin developers. In this talk, we'll dive into how community plugins extend Grafana's core functionality, enabling you to connect to a broader range of data sources and visualize your data in new ways. We'll introduce the Kafka Data Source plugin as a practical example, demonstrating how it lets you directly query and visualize Kafka topic data in your dashboards, bypassing the need for intermediate storage or external services.2️⃣ "Which Data Format Should I Use in Apache Kafka?" by Maria Berinde-Tâmpănariu, Staff Solutions Engineer at Confluent.
You're just starting your data streaming journey or are extending it to include Schema Registry and you learned that multiple serialization formats are supported. How do you know which one(s) to choose? What if the choice is not yours? If you are offering the data streaming service as a platform to your internal customers, what kind of guidance should you offer them when choosing a data format? Is everything which is possible advisable? What implications does mixing data formats have? How do different formats differ from each other in terms of limitations, evolution and linking options? How does this affect consumers? In this talk I will share questions, answers and tradeoffs as identified while working with customers who were implementing Confluent Schema Registry.3️⃣ "Iced Kaf-fee: Chilling Kafka Data into Iceberg Tables" by Danica Fine, Sr Manager, OSS Developer Relations at Snowflake.
Have piping-hot, real-time data in Apache Kafka® but want to chill it down into Apache Iceberg™ tables? Let’s see how we can craft the perfect cup of “Iced Kaf-fee” for you and your needs!We’ll start by grinding through the motivation for moving data from Kafka topics into Iceberg tables, exploring the benefits that doing so has to offer your analytics workflows. From there, we’ll open up the menu of options available to cool down your streams, including Apache Flink®, Apache Spark™, and Kafka Connect. Each brewing method has its own recipe, so we’ll compare their pros and cons, walk through use cases for each, and highlight when you might prefer a strong Spark roast over a smooth Flink blend—or maybe a Connect cold brew. Plus, we’ll share a sneak peek at future innovations percolating in the community to make sinking your Kafka data into Iceberg even easier.
By the end of the session, you’ll have everything you need to whip up the perfect pipeline and serve up your “Iced Kaf-fee” with confidence.
📍Location
HCS Company: Anthony Fokkerweg 61, Amsterdam | https://maps.app.goo.gl/LPMZKBzB7MutGrZb6
The HCS Company office is easily accessible by both car and public transport. You can park your car on their premises; ample parking is beyond the barrier. If you come by public transport, you can get off at the Henk Sneevlietweg metro station; from there, it is a 10-minute walk.Not open - IN PERSON: Apache Kafka® x WarpStream x MCPRaadhuisstraat 50 , Amsterdam
Join us for an Apache Kafka® x WarpStream meetup on Wednesday, October 15th from 6:00pm hosted by Fiberplane!
📍Venue:
Raadhuisstraat 50, 1016 DG Amsterdam, Netherlands🗓 Agenda:
- 6:00pm: Doors open
- 6:00pm – 6:30pm: Drinks and networking
- 6:30pm - 6:55pm: Jacco Flenter, Frontend Engineer, Fiberplane
- 7:00 pm - 7:25 pm: Dani Torramilans, Staff Software Engineer, Confluent
- 7:30pm - 7:55pm: Debabrata Panigrahi, Founding Engineer, Parseable
- 8:00pm - 9:00pm: Food/Additional Q&A and Networking
💡 Speaker One:
Jacco Flenter, Frontend Engineer, FiberplaneTitle of Talk:
What about MCP?Abstract:
The Model Context Protocol (MCP) is a new standard for connecting AI assistants to external systems. In this talk I’ll share a developer’s perspective on where MCP could be useful, the kinds of challenges that come up when building servers, and how we’re approaching them at Fiberplane.💡 Speaker Two:
Dani Torramilans, Staff Software Engineer, ConfluentTitle of Talk:
TBA WarpStream x KafkaAbstract:
TBA💡 Speaker Three:
Debabrata Panigrahi, Founding Engineer, ParseableTitle of Talk:
Making sense of Kafka metrics with Agentic designAbstract:
In this talk we will look at how to track and export Kafka metrics from a Kafka production cluster to an observability system like Parseable. We'll then deep dive into the metrics data, its implications and more. Finally we'll look at a LLM based agentic style workflow to see how to predict metrics data points, set up relevant alerts and create actionable insights from this metrics data.Bio:
Bio: Debabrata Panigrahi is a founding engineer at Parseable, building a unified observability platform. Previously led DevRel at Harness for the Internal Developer Portal; OSS contributor to Kubernetes, Chaos Mesh, and Backstage.***
If you are interested in providing a talk/hosting a future meetup, please email community@confluent.io
