Kubernetes, Microsoft Marketplace,
AI & Observability
Joins us for three real-world sessions at Experts Live Café Austria
Nov 26, 2026, 04:30 PM CET
Experts Live Austria Café
Three Sessions, Real-World Insights
From running Kubernetes in production to publishing solutions on the Microsoft Marketplace and applying AI to observability — explore three practical sessions at Experts Live Austria Café.
Experts Live Austria Café brings together hands-on experience, technical insights, and lessons learned from real-world projects. This time, the agenda covers three topics that matter to IT professionals and technology partners alike: cost-effective Azure Kubernetes Service (AKS), Microsoft Marketplace onboarding, and prompt engineering for AI-powered observability.
Here’s what to look forward to.
Join the Conversation at Experts Live Austria Café
Whether you’re building a cost-effective cloud platform, exploring new ways to bring your solutions to market, or experimenting with AI-driven observability, these sessions offer practical insights from people working on these challenges firsthand.
Join Experts Live Austria Café to exchange ideas, learn from real-world experience, and take away approaches you can put into practice.
Azure Kubernetes Service (AKS): A Production-Ready Setup in Practice
Speaker: Ömer Akcinar, System Engineer
Duration: 20–30 minutes
Running Kubernetes in production doesn’t have to be complicated or expensive. In this session, Ömer Akcinar walks through a minimal Azure Kubernetes Service (AKS) deployment that is affordable to reproduce while remaining suitable for production use.
From choosing the right cluster size to configuring networking, ingress, certificates, and identities, the session breaks down the essential building blocks — and explains what you can safely leave out. It also takes an honest look at ongoing operating costs, showing which components drive expenses and where savings are possible.
Expect practical guidance, lessons learned, and a realistic starting point for anyone looking to get started with AKS.
Microsoft Marketplace: Partner Onboarding and What It’s Worth
Speakers: Nikolay Karpov and Christian Heitkamp
Duration: 30 minutes
What does it take to bring your own solution to the Microsoft Marketplace, and what can you expect in return?
Having recently completed the onboarding process, Nikolay Karpov and Christian Heitkamp share their firsthand experience preparing a solution for the marketplace. They’ll discuss the requirements, the decisions involved, and the opportunities they see — from increased reach and co-selling with Microsoft to letting customers pay through their Azure bill.
The session covers:
- Getting started: Partner Center, required programs, contracts, and what to clarify before onboarding.
- Choosing the right offer: Comparing SaaS, Managed Applications, container offers, and consulting services.
- Making it work technically: A practical look at landing pages, the SaaS Fulfillment API, and metering, based on their own solution.
- Microsoft Ignite 2026: A selection of key takeaways from a partner’s perspective.
A useful session for technology providers exploring the Microsoft Marketplace as a route to new customers and closer collaboration with Microsoft.
AIOps in Practice: Prompts for Observability
Speaker: Brian Hubbard
Duration: 30 minutes
What happens when large language models meet logs, metrics, and traces? And how much difference can a well-designed prompt make when investigating an alert?
Brian Hubbard shares insights from an AIOps project involving TazamaTech’s AIOps Navigator. The focus, however, is on the underlying technology and techniques rather than the product itself.
The session explores how to design effective observability prompts, why context grounding and carefully structured instructions matter, and why prompt engineering can be as important as the model you use. Most of the session will be a live demonstration.
Topics include:
- Architecture and data sources: Connecting observability data to a large language model.
- Prompt engineering for observability: System prompts, context grounding, and few-shot examples.
- Live demo: Following an AI-assisted root-cause analysis from the initial alert to the underlying cause.
For anyone interested in practical AIOps, this session offers a closer look at how AI can help turn monitoring data into actionable insights.