What we’re 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 (2)
See all- DevOps September meetupWeWork DRN, Prague
Talk 1️⃣ Sirius Ivlev 🔗 LinkedIn
Sirius, Lead of the DevTools SRE Team 🛠️
AI in Engineering: The Trial-and-Error Method 🤖⚡For almost three years now, we’ve been waiting for AI to replace us. But until that glorious day arrives ✨, what real value can it deliver? Let’s take a closer look at the pros and cons ⚖️, review research findings 📑, and share the results of our own experiments 🧪 in integrating AI tooling into our daily workflows.
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Talk 2️⃣ Evgeny Arhipov 🔗
Head of scheduler services at Nebius 🌐
Managed Soperator: A modern, democratic approach to Slurm-based supercomputing 💻🚀Pretraining and fine-tuning tasks often require a significant amount of interconnected processing power 🔋, also known as supercomputing. Go-to tool of choice in the industry is Slurm 🧩, a project dating as far back as 1994 📅. We will discuss how we made this traditionally very expensive 💰 and complex endeavour of running a Slurm cluster at scale -- a breeze 🌬️. The result is a managed solution built on top of a modern tech stack 🏗️, using open source tools 👐, either existing or newly built and contributed back by Nebius to the community 🤝.
Talk 3️⃣ Amrita Nair 🔗
ML, DevOps and SRE at Tricentis 🌎
🚀🔍 Building an LLM Observability Stack on AWS ☁️In this talk, I’ll share how we built the foundational infrastructure 🏗️ for integrating an LLM observability SaaS 📊 into our internal co-pilot product 🤖. I’ll walk through how we designed the stack from scratch ✨ using fully AWS-native services: VPC networking 🌐, load balancers ⚖️, MSK (Kafka) 📨, RDS (PostgreSQL) 🗄️, and ClickHouse Cloud ☁️ with cross-region access 🌍 via AWS PrivateLink 🔒.
I’ll cover how we automated Kafka topic creation ⚡ with Lambda 🐑, provisioned secure 🔐, production-ready infra 🛡️ with Terraform 🌱, and connected it all to enable real-time ⏱️ prompt tracing 🧵. We will discuss pitfalls ⚠️ and lessons 📘; if you're interested in building AI-adjacent systems 🤝 without drowning in abstraction 🌊, this is a practical 🛠️, honest look 👀 at what it takes.
This was a greenfield project 🌱 developed in pre-production 🧪, offering insights 💡 into designing for scale 📈, reliability 🛠️, and future extensibility 🔮 without the pressure of live customer data 📦. Ideal for DevOps engineers 👨💻👩💻 curious about AI system architecture 🏛️ in the cloud ☁️.
