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DevOpsDays:
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How it was: 2023
Debois
MAJORS
Zayets
Ivanova
MOLOCHKO
VILLELA
PAIS
Parmar
Fox
Serebryakova
Nebesov
MEDINA
Vlasov
Bilous
Poliakov
MAHER
speakers
Patrick
Debois
Learn More
Patrick Debois currently works in the intersection of GenAI and DevOps as an independent consultant:
– Guiding companies in their GenAI transformation journey, bringing engineering rigor to GenAI delivery
– Inspiring engineering to embrace AI to improve their automation
– Advising GenAI platforms on their product offering and ideal customer profile
– Raising the bar of our industry as a keynote speaker
Patrick is a versatile technologist with a breadth of experience across Dev, Sec, and Ops and GenAI continuously pushing the boundaries of his technical expertise. Known for his aptitude in harnessing emerging ideas, he skillfully guides teams and advises businesses ranging from startups to enterprises in their journey. Recognized as a trusted ally among dev, sec, ops communities.
While Patrick’s technical appetite is vast, his affinity for people is equally profound. He possesses the rare ability to bridge perspectives, effortlessly switching between management and individual contributor levels and roles. This unique experience has led him organizing the first Devopsdays in 2009. He is attributed to coining the term DevOps and co-author of the widely known Devops Handbook. In the past Patrick has worked together with renowned tech organizations such as Atlassian and Snyk. He has experience wearing hats such as VP of Engineering , Distinguished Engineer or CTO.
He thrives in sharing knowledge, organizing numerous community events, and presenting at many more. He believes in transforming his learnings into shareable lessons, using this feedback loop to hone his skills and broaden his perspectives. Through open sharing and lateral thinking, Patrick is not just enhancing his professional growth but also contributing significantly to the evolution of the field.
AI/ML
Product Manager
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Andreea helps organizations drive scalable transformation projects with open source AI.
Leads AI at Canonical, the publisher of Ubuntu and a provider of open source security, support and services. With a background in data science across industries like retail and telecommunications, Andreea helps enterprises make data-driven decisions with AI.
She is passionate about open source and amplifying its impact across regions and industries. Also enjoy sharing her knowledge, mentoring young professionals and having an educational impact in the industry.
Kateryna
Dubas
Head of Privacy, AI & Data Protection Team, DPO
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CIPP/E, CIPT, FIP (IAPP), is a seasoned privacy professional specializing in data compliance, protection, and governance. Her expertise spans logistics, retail, martech, and mobile applications, where she helps organizations implement robust privacy strategies and ensure regulatory compliance.
Oleksii
Ostapets
Senior Site Reliability Engineer
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With a decade-long journey transitioning from a .NET and Python Software Engineer to a seasoned Platform and Site Reliability Engineer. He specializes in guiding businesses towards rapid yet secure service releases, coupled with strategic approaches to minimize the impact of incidents. Passionates about sharing knowledge, and continuously mentoring Software Engineers, he has also imparted insights into Algorithms and Data Structures as a course instructor at the Taras Shevchenko National University of Kyiv, fostering the next generation of tech talent.
Max
Körbächer
Managing Director &
Tech Advisor
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Max is Founder and Technology Advisor at Liquid Reply. He is Emeritus Lead of the CNCF Environmental Sustainability TAG, CNCF Ambassador and Linux Foundation Europe Advisory Board member. Max focuses on platform engineering to simplify the current challenges of complex systems in the cloud native space and author of Platform Engineering for Architects. Besides, Max organizes Kubernetes Community Days in Munich & Ukraine, and Kubernetes & Cloud Native Meetup in Munich.
George
Fahmy
CEO
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George is the founder of Stakpak, building an open-source AI agent that makes DevOps suck less. Previously a founding engineer at Thndr YC S20 and LiquidChain AG. George has a couple of academic publications on distributed systems and BLE sensor optimization. When he’s not coding he rides cruisers and does calisthenics.
Daniel
Maher
Our MC and
Senior DevRel Manager
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Sponsors
Silver Sponsor
ZONE3000 is a global software engineering company with 25+ years of experience and 2,400+ experts in Data Governance, BI, Generative AI, and ML. We deliver tailored solutions, backed by strong DevOps, R&D, and a collaborative culture that drives continuous innovation. With 17 offices, 85% tech talent, and 350+ new specialists in 2024, we maintain a 95.3% retention rate. Recognized as a TOP-5 Best IT Employers and Best Place to Work 2024 (DOU), with a 4.5 Glassdoor score and 93% recommending us, ZONE3000 ensures stable growth, professional development, and industry impact.
Bronze Sponsor
Checkmarx helps the world’s largest enterprises get ahead of application risk without slowing down development. More applications, faster pipelines, and growing threats are all contributing to skyrocketing risk. Checkmarx helps end the guesswork in identifying the most critical issues to fix. Giving AppSec the tools they need, while letting developers work the way they want, from DevOps pipelines to developer experience, Checkmarx helps security and development teams work better together – all on a unified application security platform. That’s why so many enterprises rely on Checkmarx to scan over one trillion lines of code each year, see 2X ROI, and improve developer productivity on security tasks by 50%. Checkmarx. Always Ready to Run.
Bronze Sponsor
Preply is a leading online language learning platform, connecting over 100,000 expert tutors with learners in 180 countries. Offering 90+ languages and powered by AI-driven personalization, Preply helps people build confidence through flexible lessons, real conversations, and targeted resources. Founded in 2012 by a Ukrainian team, Preply now brings together 680+ employees from 58 nationalities, with offices in New York, London, Barcelona, and Kyiv.
Check the open vacancy: Machine Learning Platform/Ops Engineer at Preply
Agenda
Speaker
Topic
5:10pm – 5:50pm
Andreea Munteanu
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GenAI is launching new industries. It uses different types of data to generate new content. It requires access to large volumes of data and generates even more data. Organisations are eager to adopt genAI projects due to their clear benefits and many use cases.
GenAI initiatives often work with sensitive data such as sales data, customer behaviour patterns or frequently asked questions. The challenge is that professionals working on these projects need many access points to organisations’ infrastructure, which can easily become a risk. Whether we’re thinking of the infrastructure where models are built or optimised or we focus on the edge devices where they run, there is a need to ensure the security of the entire stack.
Open source tooling is widely used in AI projects due to its scalability. Open source solutions are also more portable across different environments. Looking at how to secure the entire stack will enable organisations to focus on genAI projects, without worrying about the security risks. This talk will walk the audience through all the layers of the stack, from the operating system to the MLOps platform, covering data centres where models are built and edge devices. It will present key considerations for security, best practices and opportunities for highly regulated industries.
5:50pm – 6:30pm
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Back in mid-2024, Oleksii was convinced that AI coding tools were nothing more than expensive autocomplete. Today, the engineering teams at Preply leverage AI to boost productivity while maintaining code quality and security standards.
In this talk, he shares the honest journey from skepticism to the strategic adoption of AI development tools. The audience will learn about Preply’s experimentation with GitHub Copilot, Cursor, AWS Q, aider, and ChatGPT Enterprise across a large-scale platform serving millions of learners.
Key takeaways include:
— Why the initial skepticism was justified (and the early failures)
— The scientific approach to evaluating AI tools across teams
— What actually works: concrete productivity gains vs. overhyped promises
— A reality check on what AI can’t do in complex codebases
— Practical guidelines for scaling AI adoption in an organization
— How the AI Champions program at Preply drove adoption
This is not a vendor pitch or a theoretical discussion—it’s a real-world case study with metrics, failures, and actionable insights for engineering leaders considering AI tool adoption.
6:30pm – 7:10pm
Kateryna Dubas
AI Compliance Trends: IP & Data Protection in EU & U.S.
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7:10pm – 7:50pn
George Fahmy
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George will share learnings about how they build and evaluate DevOps Agents today. The current limitations of existing technologies, LLM Agents, evaluation techniques, and how we could improve them to make DevOps Agents more reliable, and more suitable for running production infrastructure at scale.
7:50pm – 8:30pm
Max Körbächer
Learn More
8:30pm – 9:00pm
Patrick Debois
Learn More
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