What weโre about
DevOps is the next level of Agile. While Agile connects Business and Development to speed up the process. DevOps is connecting Development with delivery to production and maintenance (IT Operations). Meetup.com is a place where people go to meet other people and companies. Our goal is to approach companies to exchange everyone's experience with DevOps on a personal level. Please join!
Upcoming events (1)
See all- DevOps September meetupWeWork DRN, Prague
Talk 1๏ธโฃ Sirius Ivlev ๐ LinkedIn
Sirius, Lead of the DevTools SRE Team ๐ ๏ธ
AI in Engineering: The Trial-and-Error Method ๐คโกFor almost three years now, weโve been waiting for AI to replace us. But until that glorious day arrives โจ, what real value can it deliver? Letโs take a closer look at the pros and cons โ๏ธ, review research findings ๐, and share the results of our own experiments ๐งช in integrating AI tooling into our daily workflows.
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Talk 2๏ธโฃ Evgeny Arhipov ๐
Head of scheduler services at Nebius ๐
Managed Soperator: A modern, democratic approach to Slurm-based supercomputing ๐ป๐Pretraining and fine-tuning tasks often require a significant amount of interconnected processing power ๐, also known as supercomputing. Go-to tool of choice in the industry is Slurm ๐งฉ, a project dating as far back as 1994 ๐ . We will discuss how we made this traditionally very expensive ๐ฐ and complex endeavour of running a Slurm cluster at scale -- a breeze ๐ฌ๏ธ. The result is a managed solution built on top of a modern tech stack ๐๏ธ, using open source tools ๐, either existing or newly built and contributed back by Nebius to the community ๐ค.
Talk 3๏ธโฃ ๐๐ Building an LLM Observability Stack on AWS โ๏ธ
In this talk, Iโll share how we built the foundational infrastructure ๐๏ธ for integrating an LLM observability SaaS ๐ into our internal co-pilot product ๐ค. Iโll walk through how we designed the stack from scratch โจ using fully AWS-native services: VPC networking ๐, load balancers โ๏ธ, MSK (Kafka) ๐จ, RDS (PostgreSQL) ๐๏ธ, and ClickHouse Cloud โ๏ธ with cross-region access ๐ via AWS PrivateLink ๐.
Iโll cover how we automated Kafka topic creation โก with Lambda ๐, provisioned secure ๐, production-ready infra ๐ก๏ธ with Terraform ๐ฑ, and connected it all to enable real-time โฑ๏ธ prompt tracing ๐งต. We will discuss pitfalls โ ๏ธ and lessons ๐; if you're interested in building AI-adjacent systems ๐ค without drowning in abstraction ๐, this is a practical ๐ ๏ธ, honest look ๐ at what it takes.
This was a greenfield project ๐ฑ developed in pre-production ๐งช, offering insights ๐ก into designing for scale ๐, reliability ๐ ๏ธ, and future extensibility ๐ฎ without the pressure of live customer data ๐ฆ. Ideal for DevOps engineers ๐จโ๐ป๐ฉโ๐ป curious about AI system architecture ๐๏ธ in the cloud โ๏ธ.
