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Stay up to date with our latest articles about cloud-native technologies, Kubernetes, and DevOps.

1210 posts

MSSQL (SQL Server): The Reference Architecture for Enterprise Databases on Linux & Kubernetes

Fabian Peter • • 5 min

MSSQL (SQL Server): The Reference Architecture for Enterprise Databases on Linux & Kubernetes

For a long time, it was said: "SQL Server needs Windows Server." Those days are over. Since Microsoft ported SQL Server to Linux, it has become a first-class citizen of the container world. Running MSSQL on heavy Windows VMs today wastes resources on the operating system and struggles with complex updates. On Kubernetes, MSSQL runs leaner, faster, and more cost-efficiently. It is the perfect symbiosis of enterprise features (T-SQL, stored procedures) and cloud-native agility.

Enterprise Operations Kubernetes Cloud native Politics
Longhorn: The Reference Architecture for Lightweight Cloud-Native Storage

Fabian Peter • • 5 min

Longhorn: The Reference Architecture for Lightweight Cloud-Native Storage

Storage in Kubernetes is often a nightmare of complexity (Ceph) or vendor lock-in (AWS EBS). Longhorn takes a third path. As a CNCF project, it offers highly available block storage that is extremely easy to use. With its unique micro-controller approach and integrated backups to S3, it makes persistent data portable. It transforms local storage into a robust, replicated cluster storage without needing to be a storage engineer.

Operations Kubernetes Cloud Cloud native Digital sovereignty
MailHog: The Reference Architecture for Secure Email Testing and Debugging

Fabian Peter • • 5 min

MailHog: The Reference Architecture for Secure Email Testing and Debugging

Email delivery is one of the most critical functions of modern applications (password resets, invoices). However, testing is risky: a wrong config entry in the staging environment, and thousands of real customers receive test emails. MailHog completely eliminates this risk. It acts as an SMTP server that accepts emails but does not deliver them. Instead, it captures them in a web interface. It is the ultimate "airbag" for developers – secure, fast, and API-controllable.

Development Kubernetes Cloud native Digital sovereignty Software delivery
MariaDB: The Reference Architecture for Open Relational Databases (RDBMS)

Fabian Peter • • 5 min

MariaDB: The Reference Architecture for Open Relational Databases (RDBMS)

Relational databases are the backbone of almost every business application. However, the market leader MySQL is now owned by Oracle, and cloud providers like AWS RDS charge a premium for hosting ("Managed Service Premium"). MariaDB is the legitimate, community-driven successor to MySQL. It is fully compatible but often technologically superior (faster query optimizer, more storage engines). Running MariaDB in your own cluster provides enterprise performance without license costs and without the constraints of proprietary cloud services.

Development Enterprise Operations Kubernetes Hosting
MinIO: The Reference Architecture for High-Performance Object Storage & S3 Compatibility

Fabian Peter • • 5 min

MinIO: The Reference Architecture for High-Performance Object Storage & S3 Compatibility

The S3 protocol is to data storage what HTTP is to websites: the universal standard. However, "S3" is not synonymous with Amazon. MinIO decouples the API from the cloud provider. It is an extremely high-performance object storage that enables cloud-native applications to store data wherever it is needed—whether in the local data center, at the edge, or in Kubernetes clusters. Using MinIO retains full S3 compatibility while eliminating the dreaded "egress costs" and latencies of the public cloud.

Development Operations Kubernetes Cloud native Hosting
MongoDB: The Reference Architecture for Flexible Document Databases (NoSQL)

Fabian Peter • • 5 min

MongoDB: The Reference Architecture for Flexible Document Databases (NoSQL)

Relational databases force developers to squeeze data into rigid tables. MongoDB breaks this mold. It stores data as modern applications use it: as flexible JSON documents. While cloud providers like AWS offer 'DocumentDB', often just outdated emulations lacking features, a true, self-hosted MongoDB instance delivers full power: the latest features, genuine BSON performance, and the freedom to adapt data structures agilely without locking the database for hours ('Schema Migration').

Development Operations Kubernetes Digital sovereignty Hosting
Detecting Infrastructure Drift: When Reality No Longer Matches the Code

David Hussain • • 4 min

Detecting Infrastructure Drift: When Reality No Longer Matches the Code

In a perfect world, your **Infrastructure as Code (IaC)** repository is the absolute "Source of Truth." Every change to load balancers, DNS entries, or firewall rules is managed through Git commits and automated pipelines. In reality, things often look different: an administrator fixes an urgent issue in the middle of the night directly via the cloud console, or an automatic update changes a configuration in the background.

Operations Compliance Automation Security Software delivery
European Tech Map:

Katrin Peter • • 8 min

European Tech Map:

Digital sovereignty has become one of the central topics in European technology policy. In political strategies, economic committees, and IT departments, there is increasing discussion on how Europe can make its digital infrastructure more independent.

Operations Cloud Digital sovereignty Politics Security
From Model to Service: MLOps Pipelines with ArgoCD and Kubeflow

David Hussain • • 4 min

From Model to Service: MLOps Pipelines with ArgoCD and Kubeflow

In traditional software development, CI/CD (Continuous Integration / Continuous Deployment) has long been established as a standard. However, in the world of Artificial Intelligence, this is not enough. AI models are not static artifacts; they are based on code, data, and parameters that constantly change. Without an automated pipeline—known as **MLOps**—many models end up as "experiments" in the drawer instead of delivering real business value.

Development Kubernetes AI Cloud native Software delivery
Vector Databases on K8s: The Memory for Your Agentic AI

David Hussain • • 4 min

Vector Databases on K8s: The Memory for Your Agentic AI

A Large Language Model (LLM) without access to current enterprise data is like a brilliant professor without a library: it has the world's knowledge but doesn't know your specific projects, documents, or customer histories. To make AI agents truly useful, we use **Retrieval Augmented Generation (RAG)**. The core of this architecture is the **vector database**.

Enterprise Operations Kubernetes AI Cloud native
Data Security for AI: Encrypted Datasets in Multi-Tenant Clusters

David Hussain • • 4 min

Data Security for AI: Encrypted Datasets in Multi-Tenant Clusters

In the gold rush surrounding Artificial Intelligence, a critical aspect is often overlooked: the security of the underlying data. When companies train or operate AI models in shared infrastructures (multi-tenant clusters), entirely new attack vectors emerge. A compromised model or malicious container must never be able to access the training data or IP assets of other departments or customers.

Operations Kubernetes Cloud native Digital sovereignty Security
Infrastructure as Code for AI: Cluster Configuration for Heavy Workloads

David Hussain • • 4 min

Infrastructure as Code for AI: Cluster Configuration for Heavy Workloads

Those deploying Large Language Models (LLMs) or complex deep learning pipelines in production quickly realize: A standard Kubernetes cluster immediately reaches its limits with these "heavy workloads." When terabytes of weights need to be loaded into VRAM and billions of checkpoints flow across the network, nuances in infrastructure configuration determine success or a technical disaster.

Operations Kubernetes AI Platform Software delivery
GPU Slicing & Kubernetes: How to Efficiently Share Expensive AI Resources

David Hussain • • 4 min

GPU Slicing & Kubernetes: How to Efficiently Share Expensive AI Resources

In modern IT infrastructure, the GPU has become the new CPU. Whether it's Large Language Models (LLMs), computer vision, or complex data analysis, the demand for computing power on graphics cards has massively increased in the mid-market. However, while CPUs have been efficiently virtualized and shared for decades, GPUs often present platform engineers with a dilemma: A high-end graphics card (like an NVIDIA H100 or A100) is often oversized for a single microservice, yet too expensive to leave idle.

Operations Kubernetes AI Cloud Platform
API Governance in Kubernetes:

Katrin Peter • • 6 min

API Governance in Kubernetes:

Kubernetes is now much more than just a container orchestrator. A vast ecosystem has developed around the platform, with tools, extensions, platform solutions, and automations all built on the same foundations. These foundations are **APIs**. They form the interfaces through which clusters are managed, resources are defined, and components communicate with each other.

Development Kubernetes Automation Cloud native Security