Back
Scaling DevOps: Rapid Release, Reliable Ops - Part 1
October 13, 2025
/
online
Europe
/
14:30-16:00
GMT
ROUNDTABLE
PEOPLE SHAPING THE CONVERSATION
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
thank you for your interest
We’ve received your registration request. Places are limited and attendance is carefully curated. If your profile is a good fit for this event and a place is available, we’ll be in touch to confirm your attendance and share next steps.
Please note that submitting a registration request does not guarantee a place.

Sarah Tijou
Senior Vice President
Panelle

Shubha Gururaja Rao
Director Solutions Engineering
JFrog

Suveni Surinder
Senior Cloud DevOps Engineer
Virgin Media O2

Malgorzata Margo Rembas
Senior Principal DevOps Engineer
Intive

Olga Garg
Chief Technology Officer
Atos

Regina Dietiker
Head of Cloud and DevOps
Zühlke Group
.jpeg)
Jennifer Davidson
CTO Enterprise Architect
Barclays
.jpeg)
Endah Bongo-Awah
DevOps Engineer
RTL Deutschland
AGENDA
Overview
As organisations grow, the demands on DevOps teams increase significantly. Scaling tools and services across globally distributed teams and complex delivery processes is no small task. It requires ensuring resilience, maintaining security, and adhering to compliance standards - all while managing a long-term effort.
Any lapse in governance or release quality can undo years of progress, harming both reputation and customer trust. So how can DevOps leaders scale quickly, release reliably, and maintain trust - all without slowing innovation or creating bottlenecks?
Join us to explore this, with practical strategies for DevOps leaders, to scale operations effectively while preserving trust and enabling innovation.
The conversation
- What challenges arise when scaling DevOps across teams and regions, and how can we overcome them?
- How do we align development, operations, and security teams to break down silos and work together effectively?
- What role does AI and ML play in keeping development fast while ensuring governance and control?
- How can we manage the risks and complexity of integrating AI and ML into our delivery processes?
- How do women working in DevOps manage the challenges they face?