Viktor Gamov
Principal Developer Advocate, Confluent
New York City, New York, United States
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Viktor Gamov is a Principal Developer Advocate at Confluent, founded by the original creators of Apache Kafka®. With a rich background in implementing and advocating for distributed systems and cloud-native architectures, Viktor excels in open-source technologies. He is passionate about assisting architects, developers, and operators in crafting systems that are not only low in latency and scalable but also highly available.
As a Java Champion and an esteemed speaker, Viktor is known for his insightful presentations at top industry events like JavaOne, Devoxx, Kafka Summit, and QCon. His expertise spans distributed systems, real-time data streaming, JVM, and DevOps.
Viktor has co-authored "Enterprise Web Development" from O'Reilly and "Apache Kafka® in Action" from Manning.
Follow Viktor on X—@gamussa to stay updated with his latest thoughts on technology, his gym and food adventures, and insights into open-source and developer advocacy.
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Topics
Stream Processing Smackdown: Kafka Streams vs. Apache Flink
Attention, Data Streaming Engineers! In a world where speed is everything, choosing the proper stream processing framework is crucial.
Want to supercharge your apps with real-time data processing? Should you opt for the streamlined Kafka Streams, a lightweight library for building streaming applications, or the feature-rich Apache Flink, a powerful and flexible stream processing framework?
Viktor Gamov, a principal developer advocate at Confluent with extensive experience in stream processing, will walk you through the nuts and bolts of these two leading technologies. Through live coding and practical examples, we'll cover:
• Mastering State Management: Discover how each framework handles stateful computations and pick up optimization tips.
• Fault Tolerance in Practice: See how Kafka Streams and Flink keep your applications running smoothly, even when things go wrong.
• Scalability Showdown: Find out which tool scales better under heavy loads and complex tasks.
• Integration Insights: Learn how to seamlessly fit these frameworks into your existing setup to boost productivity.
We'll explore scenarios showcasing each option’s strengths and weaknesses, giving you the tools to choose the best fit for your next project. Whether you're into microservices, event-driven systems, or big data streaming, this talk is packed with practical knowledge that you can immediately apply to your projects, improving performance and efficiency.
Streamlined Data Processing with Apache Flink and Kotlin
Building real-time data processing platforms often leads developers to struggle with traditional tools that can't handle massive data streams efficiently. Apache Flink offers a powerful solution to these challenges, and this talk demonstrates how to leverage it effectively using Kotlin.
We'll explore the DataStream API for efficient stream processing and show how to write cleaner, more maintainable code using Kotlin's language features. Through practical examples, you'll learn:
Building expressive stream processing pipelines that handle unbounded data efficiently
Working with Flink's Table API and SQL features while maintaining type safety
Managing application state effectively for complex event processing
Implementing robust testing strategies for stream-processing applications
The session includes real-world examples of how Flink solved critical performance challenges in production systems. You'll learn how to handle common pitfalls, implement best practices, and structure your applications for scalability. Whether building real-time analytics dashboards or processing event streams, you'll walk away with practical knowledge to implement Flink in your next project.
Streams Must Flow: Deployment fault-tolerant stream processing application with Kafka Streams & K8S
All things change constantly, and we need to get on board with streams! Kafka Streams, Apache Kafka’s stream processing library, allows developers to build sophisticated stateful stream processing applications which you can deploy in an environment of your choice. Kafka Streams is not only scalable but fully elastic allowing for dynamic scale-in and scale-out as the library handles state migration transparently in the background. By running Kafka Streams applications on Kubernetes, you can use Kubernetes powerful control plane to standardize and simplify the application management—from deployment to dynamic scaling. In this talk, Viktor explains the essentials of dynamic scaling and state migration in Kafka Streams. You will see a live demo of how a Kafka Streams application can run in a Docker container and the dynamic scaling of an application running in Kubernetes.
Testing Data-Intensive Applications with Testcontainers
Are you developing complex data-intensive applications using Apache Kafka, Kafka streams, or Apache Pinot? You can learn how to make your testing faster and smarter with Testcontainers. In this talk, we're cutting through the fluff to give developers a straightforward guide on using Testcontainers for data-intensive applications. You'll see how to set up, test, and tear down Kafka and Pinot instances in Docker with ease, ensuring your apps are solid under real-world conditions. This session has practical examples, tips, and tricks to get your testing game on point. Whether a beginner or a seasoned pro, you'll walk away with the know-how to boost your development workflow and make your data-driven apps more reliable. So, let's dive in and start testing smarter!
Uncorking Real-time Analytics with Kafka®, Flink, and Pinot
In the era of big data, real-time analytics has become crucial for gaining actionable insights and staying ahead of the competition.
This talk aims to empower data professionals with the knowledge and tools to harness the full potential of Apache Pinot, Kafka, and Flink for high-performance real-time analytics.
We will delve into the seamless integration of batch and streaming data, demonstrating how to enrich your analytics capabilities by combining static datasets with real-time data streams.
Attendies will discover how to make decisions on processing data in Pinot versus Flink, balancing performance and resource utilization to achieve optimal results.
To cap it all off, a live demonstration will guide you through setting up end-to-end data pipelines and performing real-time analytics, bringing theory into practice. By the end of this session, you will be equipped with a comprehensive understanding of how to implement and leverage Apache Pinot, Kafka, and Flink to transform your data analytics approach.
One Does Not Simply Query a Stream
Suppose you have embraced Apache Kafka as the core of your data infrastructure. In that case, you have probably integrated event-driven services to communicate with each other through topics, combined with legacy systems through an ecosystem of connectors, and responded more or less in real-time to things happening in the world outside your software. Immutable logs of events form a more robust backbone than the one-database-to-rule-them-all of your profound monolith past. Your stack is more evolvable, responsive, and easier to work with. However, you might face a challenge now that everything is a stream - how do you query things?
Although you may name at least one or two ways off the top of your head, it's time you think through how to make the choice. In this talk, we'll explore the solutions currently in use for asking questions about the contents of a topic, including Kafka Streams, the various streaming SQL implementations, your favorite relational database, your favorite data lake, and real-time analytics databases like Apache Pinot. There is no single correct answer to the question, so as responsible builders of systems, we must understand our options and the trade-offs they present to us.
You'll leave this talk even more satisfied that you've embraced Kafka as the heart of your system and are ready to deploy the right choice for querying the logs that hold your data.
NDC Copenhagen 2022 Sessionize Event
swampUP 2022 Sessionize Event
Kafka Summit London 2022 Sessionize Event
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