Calls for Papers and Calls for Participation

AI and Machine Learning are fundamentally reshaping how production systems are designed, deployed, and operated. Unlike traditional software, where reliability primarily concerns infrastructure and code, AI-driven systems depend on large-scale data pipelines, evolving datasets, and complex model behaviors. Ensuring reliability in this new landscape is no longer just about uptime and error budgets—it's about data integrity, model stability, and delivering predictable model performance over time. As companies increasingly integrate AI into their platforms, managing data quality and operating ML models is becoming a critical reliability concern.

At SREcon25 Europe/Middle East/Africa, we will dive deep into the new reliability challenges posed by Data and AI-driven systems. How do we define SLOs for models whose outputs don't have a clear error signal? What observability tools do we need to detect silent failures, data drift, and performance degradation? How do we debug AI incidents, safely roll back models, and ensure that automated decisions remain trustworthy over time? And how do we mitigate security risks such as prompt injection, adversarial attacks, and model poisoning? How do we empower SREs to select the right security models for safeguarding data? We invite SREs, data engineers, and AI practitioners to share best practices, real-world lessons, and innovative approaches to building and operating reliable AI systems at scale.

In 2025, SREcon Europe/Middle East/Africa also introduces a new format: the InFocus track. Each day, this track will center on a specific theme. This year's themes are "Data and AI Reliability," "Platform Engineering," and "Reliability in Finance." The main conference tracks will continue to feature a broad range of SRE topics that complement and extend these themes, including Full-Stack Observability, AI and Automation, SRE and Culture, and Systems Engineering.