Viktor Gamov
Principal Developer Advocate, Confluent
New York City, New York, United States
Actions
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.
Awards
Area of Expertise
Topics
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.
Service Mesh for Kotlin Developers
Service Mesh is the future of application connectivity. It delivers immediate value to any architecture by increasing our application traffic's security, reliability, and observability.
It abstracts the underlying network details and provides discovery, routing, and a variety of other functionality.
In this service mesh presentation, Viktor will show you how easy it is to get started (in Kubernetes) - how to install a control plane, deploy a Kotlin demo application (spring boot, micronaut, ktor), enable traffic policies, and touch on observability.
Proxies, Gateways, and Meshes: Cloud Connectivity Pattern for Developers
API gateway technology has evolved a lot in the past decade, capturing more prominent and more comprehensive use cases in what the industry calls “full lifecycle API management.”
API gateways were management of the network runtime that allows us to expose and consume the APIs, secures, and govern our API traffic. They provide a series of functionalities to support the development cycle, including creating, testing, documentation, monitoring, and overall exposure of our APIs.
Then around 2017, another pattern emerged from the industry: service mesh! Service Mesh is an infrastructure layer for microservices communication. It abstracts the underlying network details and provides discovery, routing, and a variety of other functionality.
I want to illustrate the differences between API gateways and service mesh — and when to use one or the other pragmatically.
This talk will also discuss the similarities and differences between the communication layer provided by gateways and service mesh.
Kafka on Kubernetes: Just because you can, doesn’t mean you should!
When it comes to choosing a distributed streaming platform for real-time data pipelines, everyone knows the answer - Apache Kafka! And when it comes to deploying applications at scale without needing to integrate different pieces of infrastructure yourself, the answer nowadays is increasingly Kubernetes. However, with all great things, the devil is truly in the details. While Kubernetes does provide all the building blocks that are needed, a lot of thought is required to truly create an enterprise-grade Kafka platform that can be used in production. In this technical deep dive, Viktor will go through the challenges and pitfalls of managing Kafka on Kubernetes as well as the goals and lessons learned from Kafka operators.
NDC Copenhagen 2022 Sessionize Event
swampUP 2022 Sessionize Event
Kafka Summit London 2022 Sessionize Event
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top