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Thomas Pliakas

Senior Software Architect @ Nokia
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Speaker's Bio

Hands-on software engineer and architect with 20+ years of experience in distributed, high-performance systems, with a strong focus on logs, metrics, and observability infrastructure.
Experienced in Java, performance engineering, and Kubernetes-native platforms, with production use of OpenSearch.
Passionate about collaborative, consensus-driven engineering cultures.
Co-organizer of JHUG and Programme Committee Member of Devoxx Greece.
PhD in Mobile and Data Networks.

Hands-on software engineer and architect with 20+ years of experience in distributed, high-performance systems, with a strong focus on logs, metrics, and observability infrastructure.
Experienced in Java, performance engineering, and Kubernetes-native platforms, with production use of OpenSearch.
Passionate about collaborative, consensus-driven engineering cultures.
Co-organizer of JHUG and Programme Committee Member of Devoxx Greece.
PhD in Mobile and Data Networks.

2026 Distributed Systems Kubernetes LLM Infrastructure MCP Model Context Protocol Redis Scalability Session Management Streamable HTTP
AI-Native Engineering

Stateless Lies and Distributed Truths: Running MCP at Scale on Kubernetes

Fri 20 Nov 2026 • 13:10 (CET) • Intermediate, Advanced
Auditorium

The Model Context Protocol (MCP) has become the de facto standard for connecting Large Language Models to enterprise systems — but what works beautifully on localhost falls apart the moment you introduce Kubernetes, real traffic, and distributed state.
This session covers the three architectural realities every team hits in production: the migration from Server-Sent Events (SSE) to Streamable HTTP and why SSE’s persistent connection model is fundamentally incompatible with cloud-native deployments; Redis-backed distributed session management that survives pod restarts and autoscaling events; and a battle-tested Kubernetes deployment blueprint covering ingress configuration, horizontal pod autoscaling, and transport-layer security hardening.
You’ll leave with concrete patterns and hard-won lessons for running MCP where it actually matters — in production.

Thomas Pliakas
  • 16:15 - 16:25
  • Auditorium
  • Theme: Other

Closing

  • 16:00 - 16:15
  • Auditorium
  • Theme: Other

Hackathon Final Pitching

  • 15:40 - 16:00
  • Auditorium
  • Theme: Other

Open Award

  • 14:55 - 15:40
  • Auditorium
  • Theme: Panel

Panel / Debate discussion

  • 14:45 - 14:55
  • Auditorium
  • Theme: Sponsor

Gold Sponsor Speech

  • 13:50 - 14:45
  • Auditorium
  • Theme: Other

Lunch Break

See the Full Agenda
  • 14:30 - 15:30
  • Tags: #SW

Embracing Chaos: Harnessing the Power of Chaos Testing for Resilient Systems

  • Testing is essential to ensure that your software application performs as expected. No doubt about it. But even if your application runs smoothly in a testing environment, unexpected incidents can occur in production, such as a crashed database or a lost connection to a third-party service. To ensure your application can handle such incidents and minimize their impact, you need to incorporate chaos testing into your delivery process. In this workshop, we will start with a brief introduction to k6 for backend performance testing and we’ll explore how to implement chaos testing using k6 for two backend services, to help you ensure the resilience of your application.
  • 12:05 - 13:30
  • Tags: #SW

Liberate your data using Redis Stream and Go

  • Redis is an in-memory database popular for many use cases, such as content caching, session stores, real-time analytics, message broker and data stream needs. Since version 5.0 of Redis a new data structure, Redis Streams, dedicated to managing streams has been introduced. Using Redis Streams, anyone can do a lot more than what was possible with Pub/Sub, Lists or Sorted Sets in the data stream domain. In this all-hands session, we’ll walk you through the basics of how to use Redis Streams, how consumer groups work, and finally show a working application using Go that uses Redis Streams.
  • 11:15 - 11:55

From Spark to Launch: The Thrilling Ride of Building Great Products

  • Join us for an exciting firechat with experts from product management, test engineering, DevOps, and software development. We’ll take you through the journey of turning an idea into a fully finished product ready for the market. Hear firsthand from our panelists about the teamwork needed to create innovative products. They’ll share insights about the ups and downs, breakthroughs, and challenges they’ve faced. Learn the secrets of successful product launches, including careful planning, prioritizing tasks, and effective teamwork. Find out how testing and quality checks ensure product excellence, and see how continuous integration and DevOps practices make the process smoother. Understand why user feedback is important for improving products, and get tips on the latest tools and methods that boost efficiency and innovation. Whether you’re experienced or just starting out, you’ll gain valuable insights into every step of bringing a product to life, from the first idea to the final launch.
  • 15:35 - 16:30

Transitioning a Content Streaming Platform from Monolithic to Microservices

  • 14:30 - 15:25
  • Tags: #AI

AI & Data Science: Insider Insights from Tech Leaders

  • Join us for an interactive workshop where Matina & Lilian having worked as Tech / AI Leaders at Meta, IBM, Vodafone, Startups share valuable insights into the opportunities available in AI and data science. Gain practical knowledge and industry perspectives to guide your career journey in this rapidly evolving field
  • 12:25 - 13:20

LLM vs RAG – the challenges and opportunities in real life use cases on real life problem

  • In this 50-minute workshop participants will delve into the intricacies of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). The session will explore how these advanced AI technologies are transforming various industries by enhancing natural language understanding and generation. Attendees will gain insights into the fundamental differences between LLMs and RAG, their respective strengths, and the unique challenges they present when applied to real-world scenarios. The workshop will also highlight practical applications and case studies, showcasing how businesses and researchers are leveraging LLMs and RAG to solve complex problems. Participants will have the opportunity to engage in interactive discussions, addressing common obstacles such as data privacy, model interpretability, and scalability. By the end of the session, attendees will be equipped with a deeper understanding of how to harness the potential of these cutting-edge technologies to drive innovation and efficiency in their own projects.
See the Full Workshops Agenda