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Talks
Our talks offer insights into current trends, technologies, and best practices. All presentations are available on SlideShare.

Heaps of Trouble -- Debugging Java OOM

Challenging the Python-First Mindset: ETL and Data Migration with Java

Anatomy of a Supply Chain Attack: From Compromise to Countermeasure

Bring Your Own Rules Made Easy: Using OPA and Rego with Gaia-X Danube

Culture as Code: The Team Playbook for Quality Software

What is A(I) platform? Defining and Building Effective Platforms in the Age of AI

SRE Made Easy: Comprehensive Guide to Site Reliability Engineering and Service Mesh Integration

From Data Meshes to Data Spaces I Gaia-X Summit 2025

Mastering Data Sync: Overcoming Challenges in Oracle Systems

How Many Topics Is Too Many? Kafka Lessons from Order Management at Scale

What is a platform? - Defining and Building Effective Developer Platforms for Productivity and Stability

Modern data observability - OpenLineage as the foundation of a modern Data Platform

Lost Jobs, Zombie Tasks and AirFlow Nightmares: A debugging Deep Dive

Designing Zero Trust Systems: Comprehensive Guide to Modern Security Practices and Technologies

Platform user´s remorse - Or how I learned to build atop platforms

Go KonMari on your SQL - Queries with the SQL-Police

API First revisited - Where did we take a left turn?

Solving Multi-Tenant Challenges: Apache Airflow and Cloud Composer in Action

Contract Testing with Java: Ensuring Reliable Microservices Communication

Taming the Codebase: Strategies for Refactoring Legacy Code

The Future of Data Sharing: Wie industrielle Ökosysteme Gaia-X für daten-basierte Geschäftsmodelle nutzen

Is your spring boot application in Kubernetes secure?

Understanding Zero Trust Architecture with Keycloak

The REWE Data Platform - A step towards a data mesh

Key Insights from Using Kafka in Large-Scale Projects

We tried to sell a cake for 1 Billion Euro ... then build a data mesh

Handling round-the-clock availability: Investigating Cloud Deployment Archetypes

Choosing the Right Tool: A Comparative Look at gRPC, REST an GraphQL

Cloudy with a Chance of Insights: Demystifying Observability in the Cloud

FinOps on Google Cloud Platform: Effective Strategies to Save Money on Cloud Computing Costs

Honey, I shrunk the Carbon Footprint! Boosting Sustainability in the Cloud

Microservices Communication Done Right - Java Meetup Vienna

Quarkus on K8s - Cloud-Native Java for Kubernetes

How to get from cloud to multi-cloud - TechTalk Vienna

Unlock your data: A reference data mesh.

Distributed Tracing with Jaeger on Kubernetes

Pimp my Platform: Using AlloyDB with GKE

gRPC-Fullstack - Google Cloud Meetup Vienna

Shifting left in security: Detecting security threats earlier to minimize risk

Transactions at Scale - Google Cloud Meetup Vienna

Own Your Domain Before It Owns You - Domain Driven Design for Pragmaticians
Engineering Blog
Latest posts from our engineering blog — by engineers, for engineers.
FeaturedCapEx vs OpEx: How Every IT Paradigm Shift Moves Your Cost Structure
Every IT paradigm shift moves costs from CapEx to OpEx. Why that isn't automatically cheaper, and how to combine both models sensibly.
FeaturedCulture as Code: Building a Team Playbook for Quality Software
Great software isn't built by better tools, but by better teams. Why treating culture like code, designing, reviewing and refactoring it, is what drives quality.
FeaturedIT Paradigm Shift: How Risk Management Decides the Success of Your Software Development
Every IT paradigm shift moves your risk profile. Which mode fits your company - Agile, Microservices, Cloud, or AI?
FeaturedGreen Native Interactive Attribution Model
End-to-end carbon attribution turns IT infrastructure into one number: carbon per transaction for the business, and a drill-down path for engineers. Our Green Native approach builds on metrics cloud-native tools already collect, so measuring adds almost no overhead.
FeaturedHow Our Marketing Team Started Writing Pull Requests
He went in skeptical. He came out convinced. The story of a website rebuild where non-developers shipped most of the code.
FeaturedParadigm Shifts in IT: AI Follows the Same Pattern as Agile, Microservices, and Cloud
The AI Engineering paradigm follows the same pattern as Agile, Microservices, and Cloud. What CTOs need to take away for their strategy.

Better Grafana Dashboards: Precise Prometheus Metrics Over Visual Illusion
Monitoring tools are indispensable to modern software development and cloud infrastructure. The pairing of Grafana as a visualization platform and Prometheus as a metrics backend is one of the most widely deployed in the field.

A Mid-Term Review After 12 Months of Building a Research Department at Posedio
About a year ago, Paul Weißenbach and Stefan Dumss began driving the build-out of the development department at Posedio. Time for an initial mid-term review: which milestones have been reached, which research projects have been successfully completed – and what is the team currently working on?
AI-Assisted Development: Why Human Oversight Still Defines Engineering Excellence
AI tools deliver real productivity gains in coding, but the real challenges now lie in design, scalability, and safe operation. When AI autonomy grows faster than human oversight, real risks emerge. At Posedio, we combine AI-driven efficiency with deliberate guardrails - from design-first principles to meaningful code reviews, observability, and security as a continuous practice. Because in the age of autonomous systems, what counts isn't output, but ownership.
Infrastructure as Code: Do We Still Need IaC in the Age of AI Agents?
AI Agents können Infrastruktur in Sekunden provisionieren. Macht dies Infrastructure as Code damit überflüssig? Nein - im Gegenteil: Ohne deklarative Guardrails werden manuelle Fehler einfach zu schnelleren, automatisierten Fehlern mit größerem Blast Radius. IaC wird zur Governance-Schicht für autonome Agents. Wir zeigen, warum Policy-as-Code und ein abgestuftes Trust-Level-Framework jetzt entscheidend sind – und welche Rolle NIS-2 und ISO 27001 dabei spielen.
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