Viktor Gamov
New York City Metropolitan Area
7K followers
500+ connections
View mutual connections with Viktor
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
View mutual connections with Viktor
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
About
Open to conversations about principal+ developer advocate opportunities at companies…
Articles by Viktor
-
Is MCP dead? I don't think so
Is MCP dead? I don't think so
My regular co-presenter 🎩 Baruch Sadogursky threw this at me during our "Codepocalypse Now: LangChain4j vs Spring AI"…
31
4 Comments -
Travel Report - Q1 2016Apr 1, 2016
Travel Report - Q1 2016
Life on the road. It’s a brief review of first three months of 2016.
5
-
Webinar: Caching Made Bootiful — The Hazelcast WayMar 17, 2016
Webinar: Caching Made Bootiful — The Hazelcast Way
Save the date: April 4, Caching Made Bootiful: The #hazelcast Way webinar #springframework #springboot #jcache RSVP!
2
1 Comment -
My 2015 Year At Hazelcast In ReviewDec 30, 2015
My 2015 Year At Hazelcast In Review
It has been an awesome year full travelling (roughly 20 states), POCs for the clients and the prospects, training…
11
Activity
7K followers
-
Viktor Gamov reposted thisNow on all streaming platforms! :)Viktor Gamov reposted thisEkaterina Gorshkova joins Viktor Gamov to talk about what Kafka becomes once systems get large, teams multiply, and architecture decisions start lasting longer than expected. • how to design Kafka-based architectures people can actually understand • where Kafka Streams helps and where it adds complexity • why requirements matter more than tooling • how to avoid building systems only three engineers can operate confidently 🎧 Listen to the #GOTOPodcast episode: gotopia.tech/podcast
-
Viktor Gamov reposted thisViktor Gamov reposted thisCurrent London is on! If you’re here, look for David Anderson, Viktor Gamov, Olena Kutsenko, Joe Reis, Sandon Jacobs, and more. And be sure to visit the Certification Lounge in Victoria 7 (third floor) for your Data Streaming Engineer Certification!
-
Viktor Gamov posted thisOver the years, I've spent some time on the #KafkaSummit and #Current program committees. Also, I spent over ten years submitting talks to other conferences. The main difference between accepted and rejected talks usually isn't the idea itself. It comes down to the title and abstract. Reviewers go through about three hundred submissions at a time, and your title gets about eight seconds to catch their attention. If you miss that window, even the best idea won't make it to the committee. The CFP for #CurrentSanFrancisco is open. You have until June 8, 2026, at 11:59 PM PT to submit. If you have a real story about building, breaking, or running production streaming systems, this is the right place to share it. What actually wins Pick a strong angle, not just a comparison. For example, a talk titled "Comparing Three Approaches to Schema Evolution" is likely to be skipped. Reviewers prefer something like "We Picked Avro Over Protobuf and Got Burned." A clear opinion stands out more than a neutral overview. I've seen this from both sides. Every talk I've had accepted at other conferences started with a strong opinion, not a survey. Real-world stories always win over vendor demos. A twenty-minute talk about a migration that failed at 3am, an outage that taught you something important, or a design choice you had to undo - these are the talks that get accepted. Presentations that just explain how a product works almost always lose out to real production problems in the committee meetings I've attended. Spend at least an hour on your title. Reviewers see it first, and it's the one part of your submission you can control completely. A title like "Streaming at Scale" won't stand out, but "Why We Killed Our Kafka Streams Topology After 18 Months" will get your abstract noticed. The time you spend on the title pays off more than anything else you do for your submission. I usually rewrite mine four or five times before sending it in. Not every submission gets accepted. There is a standard, but it's more about whether you put in real effort than most first-time submitters realize. Most rejected talks weren't bad ideas: they were good ideas with titles like "Stream Processing in the Modern Enterprise." The mechanics What: Current San Francisco When: November 4-5, 2026 CFP closes: June 8, 2026, 11:59 PM PT Submit here: https://lnkd.in/exzd4GX5 If you've been telling yourself "next year I'll submit something" for the past three years, take this as your sign to go for it. The committee would rather hear from you than see another vendor demo. Pick the story you tell other engineers at dinner - that's the talk you should submit. See you in San Francisco.
-
Viktor Gamov reposted thisViktor Gamov reposted thisseeing how far I can get Claude to build a Kafka pipeline by prompting alone, without touching the Confluent Cloud UI or CLI myself. So far, pretty darn good. Claude making heavy use of https://lnkd.in/d6fn5xJk.
-
Viktor Gamov shared thisHey data streamers and vibe coders! Try out new streaming skills and let us know what do you think?Viktor Gamov shared this📄 AI Agent Skills by Confluent — Now GA and Public 🚀 We just shipped our first set of AI agent skills — open-source, purpose-built for building streaming applications with Confluent. The repo is live and public. What are agent skills? Skills are packaged instructions that make AI coding assistants (Claude, Cursor, etc.) experts at specific Confluent workflows. Instead of an LLM guessing how to write a Kafka producer or set up a CDC pipeline, skills guide it through the right patterns — proper Schema Registry usage, security config, error handling, and all. What Agent Skills available : Schema Registry - Scans your project, extracts schemas from data models, tags PII fields, generates Terraform for Schema Registry registration Kafka Streams- Architect, build, and debug Kafka Streams apps — topology design, joins, windows, aggregations, production troubleshooting Python Kafka Client- Scaffold a Python producer/consumer with Schema Registry serialization (Avro, JSON Schema, Protobuf) CDC to Tableflow- End-to-end CDC pipelines — Debezium source connectors, Flink transformation, Tableflow for Iceberg/Delta Lake Two ways to use them: Direct — type /skill-name (e.g. /kafka-streams-programming) to invoke a specific skill on demand Automatic — just describe what you need in natural language (e.g. "Create a Kafka producer that sends user events to Confluent Cloud") and the right skill activates based on keywords in your prompt Where to find it: https://lnkd.in/gy5tdctZ Get started (less than 30 seconds): Claude: /plugin marketplace add confluentinc/agent-skills /plugin install streaming-skills-plugin@confluent-agent-skillsAny agent via skills CLI: npx skills add confluentinc/agent-skills Demo of CDC to Tableflow Skill attached Shoutout to the team that made this happen! Core Team: Erick Lee Adi Polak Lucia Cerchie Dave Troiano Daniel J. ☁️ Ahmed Saef Zamzam Matthew Seal Stefan Sprenger @Zeren Jacob Warren Also shout out to our supporting team: Ajay Krishnan Andy Morgan Vamshi P.N. Sudhindra Jeremy Robin Moffatt Sean Falconer Viktor Gamov Mohitsharma44 Mic Hussey Ellie Jenny Wang Alex Fayad Noel Leo Feng Dennis McLeod shoup Caitlin cc: Anna Gege Manuel Schroeder Sorabh Gandhi David Araujo Mike Agnich
-
Viktor Gamov reposted thisViktor Gamov reposted thisUpdate: After a failed Maven Central deployment, Spring Boot autoconfiguration for the ACP Java SDK is now available. One dependency, a few properties, an annotated bean — Spring Boot handles transport, lifecycle, and graceful shutdown automatically. Thanks for those pointing out the mistake in the release! An agent is on the job now making sure this won't happen again! :) The blog is at https://lnkd.in/eUCqdpa6 For a hands-on ACP tutorial that builds up from first principles to Spring Boot integration: https://lnkd.in/evjMum-9
-
Viktor Gamov reposted thisViktor Gamov reposted thisDid you know that we released a skill for building #KafkaStreams applications? Check it out and let us know about your experience using it. https://lnkd.in/gDUPQYsYGitHub - confluentinc/agent-skills: AI agent skills for stream processing and event streamingGitHub - confluentinc/agent-skills: AI agent skills for stream processing and event streaming
-
Viktor Gamov reposted thisViktor Gamov reposted thisYou’ve got ~2 hours this weekend? Here’s where we’d spend it 👇 • Java’s future w/ Ben Evans • Kafka as a system backbone w/ Ekaterina Gorshkova & Viktor Gamov • APIs in an AI world w/ Giedrius Praspaliauskas • Better ways to read system data w/ Yao Yue 岳峣 • What “edge” actually means w/ Charles Humble & Hannah Foxwell • What AI really does w/ Jodie Burchell, PhD & Michelle Frost • And one on coding through music w/ Sam Aaron & James Lewis ▶️ Find them all in one place: https://lnkd.in/eHz3JGAA
-
Viktor Gamov reposted thisViktor Gamov reposted thisTough news out of Cloudflare today. To those impacted: Kong is scaling fast and looking for great people to join our team. We’re hiring across Data Plane, Control Plane, AI Gateway, and Product. Send me a message if you’re interested in learning more. Let’s get you back to building. 🛠️ #Hiring #Cloudflare #APIManagement #SoftwareEngineering
-
Viktor Gamov reacted on thisViktor Gamov reacted on thisWant to go fast - go alone, want to go far - go with the group. Thanks for coming guys, great way to start the day! SubSummit
Publications
-
Kafka in Action
Manning Publishing
Kafka in Action is a fast-paced introduction to every aspect of working with Apache Kafka. Starting with an overview of Kafka's core concepts, you'll immediately learn how to set up and execute basic data movement tasks and how to produce and consume streams of events. Advancing quickly, you’ll soon be ready to use Kafka in your day-to-day workflow, and start digging into even more advanced Kafka topics.
Other authorsSee publication -
Enterprise Web Development. Building HTML5 Applications: From Desktop To Modile
O'Reilly Media
How do you make your enterprise applications or sites available on an assortment of mobile devices as well as the desktop? This hands-on guide shows you how to build HTML5 applications that will satisfy both requirements. You’ll start by learning how to use HTML, JavaScript, CSS, and related technologies to build a sample website for the desktop, and then you’ll discover how to adapt the code for the mobile web.
In the process, you’ll explore options for building a single codebase for…How do you make your enterprise applications or sites available on an assortment of mobile devices as well as the desktop? This hands-on guide shows you how to build HTML5 applications that will satisfy both requirements. You’ll start by learning how to use HTML, JavaScript, CSS, and related technologies to build a sample website for the desktop, and then you’ll discover how to adapt the code for the mobile web.
In the process, you’ll explore options for building a single codebase for both desktop and mobile, using recursive design, or developing two separate codebases. You’ll also compare solutions offered by popular JavaScript frameworks, including jQuery, Ext JS, JQuery Mobile, and Sencha Touch.Other authorsSee publication
Recommendations received
8 people have recommended Viktor
Join now to viewView Viktor’s full profile
-
See who you know in common
-
Get introduced
-
Contact Viktor directly
Other similar profiles
Explore more posts
-
Prompt Leadz
212 followers
Tip: Scale large HNSW vector sets in Redis by splitting your dataset across multiple instances and querying them in parallel with multiplexing, enabling efficient parallel reads and writes that drastically improve performance and manage memory effectively. This approach leverages Redis's scalable vector support to handle hundreds of millions of vectors seamlessly. #Redis #HNSW #VectorSearch #ScalableAI #DataScience
1
-
Linearloop
12K followers
Your CI/CD bill is not exploding because of “expensive runners,” it is bleeding out through flaky tests, over-parallelized jobs, and slow feedback loops that quietly tax every deploy This piece shows you how to redesign pipelines so you cut compute waste, shrink queues, and speed up developer flow without adding yet another approval gate or YAML religion Full breakdown in the comments. #DevOps #CICD #PlatformEngineering
8
1 Comment -
Networking Pulse
232 followers
Redis Releases Critical Patch (CVE-2025-49844) A 13-year-old use-after-free flaw in Redis could allow remote code execution via crafted Lua scripts—affecting thousands of cloud instances. 🔹 Redis powers ~75% of cloud environments 🔹 Patch immediately & review Lua configurations 🔹 Audit access and monitor for suspicious activity NetworkingPulse can assist with patch validation, hardening, and threat monitoring. https://lnkd.in/efDZTvWC #Redis #Security #NetworkingPulse
-
Bassirah Technology
153 followers
AI systems struggle with accuracy and memory. Redis solves this with semantic caching, vector search, and scalable memory enabling agentic RAG at enterprise scale. As the official Redis distributor in Egypt, Bassirah is proud to help enterprises bring these advanced AI capabilities into production. #AI #DataManagement #DataIntegration #AIsolutions #TechSolutions
-
LearnKube
92K followers
Master Kubernetes with LearnKube's Advanced Kubernetes workshop! What should you expect? - Learn how to architect and design clusters from the ground up (in the cloud or on-prem). - Explore the Kubernetes internal component and how the system is designed with resiliency in mind. - Deep-dive into the networking components and observe the packets flowing into the cluster. - Hands-on labs to test the theory with real-world scenarios! - And more. The next course starts in September: https://lnkd.in/ge4aYVZq We also run in-person courses and private training: https://lnkd.in/g9N3m-Xr
11
-
Olaf Becker
ReportZone • 536 followers
Just published a fully functioning MFE application that serves as a starter template. Key features include: - AWS Cognito login - i18n support for 6 languages (easy to add more) - Theme configuration support - Simple script for adding new MFEs - Shared Eventbus for MFE to MFE comunication - Common library sharing in production - Testing support through vite-test and Cypress - Developer, deployment, theme guide, shared hooks documentation Each MFE can be run and deployed independently, with full AWS deployment support using CloudFormation. #React #MaterialUI #AWS #Cognito #CodeTemplate https://lnkd.in/gkkjy-fB
2
2 Comments -
KubeFM
7K followers
Ben walks through Faire's complete CI transformation, from a single Jenkins instance struggling with thousands of lines of Groovy to a distributed Buildkite system running across multiple Kubernetes clusters. You will learn: - How to architect CI systems that match team ownership and eliminate shared failure points across services - Kubernetes scaling patterns for CI workloads, including multi-cluster strategies, predictive node provisioning, and handling API throttling - Performance optimization techniques like Git mirroring, node-level caching, and spot instance management for variable CI demands Watch (or listen to) it here: https://ku.bz/klBmzMY5- 🌟 This episode is brought to you by Testkube—the ultimate Continuous Testing Platform for Cloud Native applications. Scale fast, test continuously, and ship confidently https://ku.bz/lnxYK3s0L With 🎙Bart "Creatine lover" Farrell
23
1 Comment -
Logz.io
17K followers
Monitoring Kubernetes? Here’s your quick hand guide, which includes best practices to keep clusters healthy, key metrics every team should track, how to use AI for accelerating RCA, and choosing the right observability solution for your stack. Whether you’re scaling workloads, troubleshooting performance, or exploring AI, this guide will help you stay ahead. #Kubernetes #Guide #Monitoring #SRE #DevOps
10
-
IBM Kubecost
9K followers
Kubernetes makes multi-tenancy easy—but chargeback? Not so much. Our K8s Guide, "Kubernetes Chargeback," explains how to build a cost allocation and reporting model for Kubernetes that engineering and finance can trust. If you're scaling Kubernetes across teams or business units, this is your playbook for turning shared infrastructure into shared accountability. 📘 Read the guide: https://lnkd.in/ea3nTuE3 #Kubernetes #DevOps #CloudNative #Kubecost
15
1 Comment
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top content