AI-Native Platforms: From AI-Assisted Operations to Running AI Workloads

Vienna β€” Austria

AI-Native Platforms: From AI-Assisted Operations to Running AI Workloads

When

11/19/2026, 5:00:00 PM

Where

Althanstraße 4/3/63, 1090 Wien, Wien, Wien, at

About

THIS MEETUP WILL BE IN PERSON πŸ•Ί What to expect: πŸ—£οΈ Two or Three speakers πŸ‘₯ Meet old and new friends from the community πŸ• Free food πŸŽ‰ Open-end and free drinks afterwards βœ”οΈ Just RSVP! Agenda: 17:30 - Doors open 18:00 - Welcome 18:05 - πŸ—£οΈ Dmytro Hlotenko - My Step Functions DAG Was a Lie: Going Agentic on 8,000 Photos 18:50 - Break 19:00 - πŸ—£οΈ Martin Flechl - From Alert to Fix: Agentic Root Cause Analysis and Self-Remediation 19:40 - πŸ—£οΈ Marco Basmaji - LLM Observability: What Happens When You Can't Just Read the Stack Trace 20:00 - πŸŽ‰ Open-end πŸ§‘β€πŸ’» Speakers: Dmytro Hlotenko \- Senior Cloud Operations Engineer at Sage Austria Dmytro Hlotenko is a Senior Cloud Operations Engineer at Sage Austria, working on the cloud platform behind its HR and payroll products for the DACH market - the kind of environment where decades-old business logic meets a modern hybrid cloud estate, and where reliability is not negotiable. He is an AWS Community Builder, co-lead of AWS User Group Vienna, an AWS New Voices 2025 graduate, and an event manager with AWS Community DACH e.V., where he helps organise AWS Community Day DACH and co-organised AWS Community GameDay Europe in Vienna. Seven AWS certifications later, he still believes the interesting part of the job is the part that does not fit the reference architecture. He has spoken at AWS Community Days across Europe, at Conf42, on the re Recap Tour, and at the AI for Developing Countries Forum at the United Nations in Vienna. Ukrainian, based in Vienna, and an analog photographer β€” which is how the agentic photo pipeline he now talks about got started in the first place. Dmytro's session My Step Functions DAG Was a Lie: Going Agentic on 8,000 Photos Once I decided to translate my photography experience into a serverless pipeline. I judged 8,000 photos of your faces, and it was a big success - we turned a problem into a solution with AWS. Lambdas, Rekognition, Bedrock and the rest played together as a system, delivering a m

Open original event link