Mario-Leander Reimer
Managing Director, CTO, #CloudNativeNerd @ QAware GmbH
Rosenheim, Germany
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Passionate software developer and architect. Proud father. #CloudNativeNerd. Leander is the CTO at QAware. He’s continuously looking for innovations in software engineering and ways to combine and apply state-of-the-art technology in real-world projects. As a speaker at national and international conferences he shares his tech experiences and he teaches cloud computing and software quality assurance as a part-time lecturer.
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Don’t Panic! A Hitchhiker’s Guide to AI Agents, MCP, and Next-Gen Gateways
'Don't panic!' — this advice from Douglas Adams is more relevant today than ever before. While the world of APIs has traditionally been strictly deterministic, we are now entering a probabilistic, context-hungry and agent-driven galaxy. The classic API Gateway, or 'Traffic Cop', is simply overwhelmed by this new communication paradigm.
In this session, we will take you on a journey through the world of AI gateways. We will explain why the era of generative AI requires more than standard infrastructure components, demanding radically new protocols and cross-cutting concerns.
But how can you orchestrate this "zoo" of protocols securely? This is where the AI Gateway comes in. Through live demos, we will show you how modern gateways can eliminate latency via semantic caching, reduce costs through token rate limiting, and protect sensitive corporate data via PII redaction. We will present architectures that instantly make legacy APIs 'agent-ready' without changing a single line of backend code.
Join us on this journey and prepare your APIs for the AI revolution. And don't forget your towel!
Conducting the Symphony: Using MIDI to Supervise AI and DevOps Workflows
DevOps automation and agentic AI workloads frequently operate behind the scenes of backend processes, terminal windows, and silent logs. As our systems become more autonomous, the need for real-time supervision and intuitive intervention is greater than ever. So why rely on traditional UIs with a mouse and keyboard when you can 'conduct' your infrastructure and workloads with a physical, tactile interface?
In this session, we will explore how to use the Java Sound API to transform a MIDI controller into a high-performance DevOps dashboard. This involves capturing low-latency MIDI events and mapping them to complex digital workflows. Join us to learn how to build your own physical control plane and find out why the future of developer experience could be as simple as the push of a button.
Beyond Lock-in: Building a Sovereign, Vendor-Neutral Control Plane for AI Agents
Agentic workloads require sovereign control planes to ensure compliance and avoid vendor lock-in. This session details building a vendor-neutral AI control plane on Kubernetes. We examine a stack covering orchestration, API gateways, observability, QA, and security-as-code. Using GitOps, we’ll demonstrate how to manage agent lifecycles, ensuring the infrastructure is as autonomous as the agents it hosts. Learn to architect a scalable, portable AI platform that prioritizes digital sovereignty without compromising technical excellence.
AI Testing Beyond the Basics: Ensuring Truthful and Reliable Chatbots and Agents
Traditional software testing methods are ineffective when applied to AI-driven chatbots, RAG systems, and agents. Unlike deterministic systems, LLMs generate probabilistic responses, which makes it difficult to verify correctness, consistency and relevance. So, how can we test for truthfulness, bias, hallucinations and real-world usability? In this session, we will move beyond theory to demonstrate practical testing strategies.
Using Testkube and a combination of popular AI testing frameworks, we will show you how to design automated tests and build an agentic AI testbench to continuously assess the performance of your AI workloads across different scenarios. Whether you’re developing a customer support bot, a RAG-powered assistant or an autonomous agent this presentation will provide you with the necessary tools to ensure that your AI workloads are reliable and perform well in practice.
Architecting and Building a K8s-based AI Platform
Developing a scalable and production-ready AI platform poses significant challenges for organisations. Beyond a modular and flexible architecture, critical aspects such as infrastructure automation, orchestration, model deployment, and lifecycle management must be efficiently addressed. Kubernetes and open-source technologies provide a powerful foundation for tackling these challenges.
In this talk, we will explore the conceptual architecture and blueprint of a cloud-native AI platform, outlining the key design principles and best practices that enable scalability, automation, and reproducibility. We will then demonstrate how to build this platform step by step - both locally and in the public cloud - leveraging Kubernetes, open-source tools, and GitOps. The focus will be on creating a highly automated, repeatable, and production-ready environment for machine learning and AI workloads.
JavaCro'26 Sessionize Event Upcoming
Øredev 2025 Sessionize Event
InfoDays: Software-Architektur Sessionize Event
JavaCro'25 Sessionize Event
Cloud Native Summit 2025 Sessionize Event
Digital Crafts Day 2025 - by DCN Sessionize Event
Jfokus 2025 Sessionize Event
iSAQB Software Architecture Gathering – Digital 2023 Sessionize Event
BaselOne 2023 Sessionize Event
Kubernetes Community Days Munich 2023 Sessionize Event
Digital Crafts Day 2023 - by DCN Sessionize Event
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