Signals Conference Berlin 2026

Overview

Signals is a small, curated, single-track conference focused on reliability in the age of AI. The event gathers leading practitioners and experts from SRE, MLOps, AIOps, and data communities to explore how reliability engineering evolves as AI technologies mature. The program centers on technical talks from industry leaders, candid perspectives from practitioners on the front lines, and real-world stories about success and failure. The aim is to foster a tight-knit community of peers who push the boundaries of what reliability means in AI driven environments.

Dates and venue

The conference takes place on September 10 and 11, 2026, in Berlin, Germany. The venue is centrally located in Berlin, providing convenient transit access and a historic industrial ambiance that complements the conference theme. Attendees can expect a focused, single-track experience that emphasizes depth over breadth, with sessions designed to share actionable insights applicable to real world systems.

Who should attend

Signals targets engineers, site reliability engineers, data practitioners, ML engineers, and operations teams who design, deploy, and maintain AI enabled systems. The event welcomes people who work at the intersection of software reliability, data pipelines, machine learning operations, and production infrastructure. It is suitable for both practitioners seeking practical takeaways and leaders seeking a grounded understanding of how AI changes reliability practices.

Format and agenda

The conference is described as a curated, single-track event with a strong emphasis on depth. Expect technical talks from notable leaders in the field as well as honest accounts from practitioners about what has succeeded and what has failed in production environments. While the page does not provide a full schedule, it highlights a focus on reliability, AI, and data oriented topics. The format is designed to maximize knowledge transfer within a compact, cohesive program that allows attendees to engage deeply with the material and with peers.

Speakers and program highlights

Invited speakers include a range of ML, data, and reliability practitioners from high profile technology organizations and innovative startups. The page lists multiple speakers along with their roles and affiliations, reflecting a diverse set of perspectives on AI driven reliability. In addition to talks, the program includes workshops, case studies, and potential Q&A sessions that facilitate practical learning and discussion around real-world production challenges.

Format, sessions, and networking

Sessions are designed to be technically rigorous and relevant to practitioners responsible for reliability in AI systems. The event emphasizes sharing success stories and failure analyses to provide tangible lessons. Networking opportunities are embedded in the schedule, giving attendees a chance to connect with peers, speakers, and potential collaborators in a collaborative environment.

FAQ and practical details

Key details visible on the page include the event location in Berlin, the date range, the single-track format, and the intended audience. There is a call to participate and engage through speaker invitations and CFP related information. Attendees can expect a focused program with actionable content, practical lessons, and opportunities to discuss approaches for improving AI system reliability in production.

Why attend

For professionals who work at the convergence of reliability and AI, Signals offers a compact, high-signal event that prioritizes depth, real-world stories, and peer learning. It provides a venue to learn from industry leaders about contemporary reliability practices, to hear honest experiences from on-the-ground practitioners, and to build a network of peers who are advancing the field together.