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Discover our latest articles about cloud-native technologies, Kubernetes, DevOps, and modern software development. From practical tutorials to in-depth analyses.
Latest Blog Posts
Stay up to date with our latest articles about cloud-native technologies, Kubernetes, and DevOps.
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In theory, the promise of the cloud is enticing: all data is stored and processed centrally. However, in the highly sensitive environment of a hospital, a pure cloud solution quickly hits physical and regulatory limits. When an AI-powered assistance system analyzes video data during surgery or a patient monitor evaluates vital signs in real-time, every millisecond of latency is a risk.
For MedTech companies and developers of Digital Health Applications (DiGAs), the path to market is not a sprint but a hurdle race through regulatory requirements. Compliance with the Medical Device Regulation (MDR) or the requirements of the BfArM is often more time-consuming than the actual programming of the product.
In modern IT, data doesn't rest; it flows. Apache Kafka serves as the central nervous system for these real-time data streams. While cloud services like AWS MSK provide the infrastructure, they often strip users of control over critical configurations and updates. Running Kafka on Kubernetes (via Operator) democratizes this technology: it combines the simplicity of a managed service with the flexibility of open source, allowing you to maintain full control over throughput, latency, and costs.
In modern acute medicine, IT is no longer a supporting process – it is part of the treatment. If imaging procedures (PACS), lab results, or digital medication are unavailable, critical decisions are delayed. An "IT failure" in a maximum care hospital is therefore a clinical risk.
Identity is the new perimeter. Outsourcing login and user management to SaaS services like Auth0 or AWS Cognito initially offers convenience but leads to a double trap: exponentially increasing costs with growing user numbers (pay-per-MAU) and limited customizability. Keycloak is the industry standard to regain this sovereignty. It offers a complete, open-source-based IAM solution that scales indefinitely, connects with any existing directory (AD/LDAP), and does not charge a 'tax' per active user.
Redis is the undisputed king of in-memory databases, but it has an architectural Achilles' heel: it is single-threaded. Even on an expensive server with 64 cores, Redis uses only one core – the rest remain idle. KeyDB is a high-performance fork of Redis that breaks this shackle. With true multithreading, KeyDB utilizes the full hardware power, offers up to 5x more throughput, and remains 100% compatible. Those who use KeyDB scale vertically instead of horizontally, saving themselves complex cluster architectures.
Kubernetes is permissive by default: it allows developers almost anything, including insecure configurations (e.g., running containers as "Root"). To prevent this, policy engines like OPA Gatekeeper were needed, which require a steep learning curve (Rego programming language). Kyverno democratizes security. It is a policy engine built *for* Kubernetes. Policies are simple YAML. Kyverno can not only block (validation) but also actively fix resources (mutation) and generate default configurations (generation) without developers having to change their workflow.
Logs are the indispensable "memory" of any application, but their storage often becomes the largest cost item in the cloud. Traditional solutions like Elasticsearch or Splunk index every single word, making them powerful but extremely resource-intensive. Loki takes a radically different approach: "Like Prometheus, but for Logs." It indexes only the metadata (labels), not the content. The result is a log system that stores petabytes of data at a fraction of the cost in inexpensive object storage (S3) and integrates seamlessly with Grafana.
The digitization of healthcare promises enormous advancements: from telemedicine support to AI-assisted diagnostics and electronic patient records. However, with increased connectivity comes a fundamental concern: who has access to the most sensitive information a person possesses in case of doubt?
Retail is undergoing the greatest transformation in its history. The separation between brick-and-mortar and e-commerce no longer exists. Customers expect real-time availability, personalized experiences, and absolute reliability. This document summarizes how modern software infrastructure turns these demands from a risk into a competitive advantage.
Nothing is more frustrating for a customer than a "Click & Collect" experience that ends in cancellation. You see online: "Available at your store," drive there, and find an empty shelf. The reason is usually outdated IT architecture that synchronizes inventories only with delays or in nightly batch processing.
In many retail companies, an ERP system that has evolved over decades forms the backbone of IT. These systems are stable and proven, but were designed for a world before e-commerce. In today's omnichannel reality, they often become bottlenecks: The API interfaces are too slow for the webshop, real-time inventory queries overload the database, and new features take months to implement.
The digitization of the Point of Sale (PoS) offers enormous advantages, but it also introduces a new threat: every connected device in the store—from smart refrigerators to handheld scanners—is a potential entry point for malware. A ransomware attack that cripples the checkout systems over the weekend not only leads to massive revenue losses but also significantly damages customer trust.
What was decided last week in the EU Parliament marks far more than a political declaration of intent. It is an overdue liberation from a dependency that Europe has not only accepted but actively deepened over the years. Our digital infrastructure—Cloud, collaboration, development environments, delivery pipelines, observability, security, increasingly also AI—is based today on platforms that neither belong to us nor are under our control. They are operated by US corporations, subject to US law, and in case of doubt, are not committed to European interests but to political decisions in Washington.
The load balancer is the front door to your infrastructure. Relying on standard cloud services like the AWS Application Load Balancer (ALB) often means paying a "convenience tax." The billing model is opaque (LCUs), and technical flexibility ends where the cloud GUI stops. HAProxy, the global standard for high-load systems, gives you back control. It offers unmatched performance, granular traffic control, and deterministic costs—as a transparent ingress controller directly in your cluster.
The Container Registry is the heart of your software supply chain. Trusting cloud services like AWS ECR blindly treats your images merely as files in a bucket. Harbor, on the other hand, is an active security platform. As a CNCF-graduated solution, it offers integrated vulnerability scanning, image signing, and replication across cloud boundaries. It ensures that only secure, verified software reaches your clusters—and that you retain sovereignty over your artifacts.
In a multi-cloud world, security is not about location, but identity. Relying on cloud-specific tools like AWS Secrets Manager fragments your security strategy and creates blind spots. HashiCorp Vault is the industry standard to organize this chaos. It acts as a central broker of trust: managing not only static secrets but generating dynamic credentials "Just-in-Time" and providing Encryption-as-a-Service to protect sensitive data before it ever lands in a database.
Security often fails due to usability. While tools like HashiCorp Vault are powerful but operationally complex, and AWS Secrets Manager exists only in the cloud, Infisical bridges the gap to the developer. It is an end-to-end encrypted platform that securely manages secrets not only in the cluster but also on the developer's laptop (localhost). Infisical eliminates insecure .env files in Slack chats and offers a modern, intuitive interface for the entire team.
IoT sensors, application metrics, and financial data have one thing in common: they are time-based and generated in massive quantities. Traditional relational databases collapse under this write load. Cloud-native services like AWS Timestream solve the problem technically but link costs linearly to data volume. InfluxDB is the open standard for time series data. It offers unmatched write performance (ingestion), powerful data processing (downsampling), and full SQL compatibility—without the bill exploding when your sensors send more data.
Retail is faster than ever today. A new trend on social media, a sudden strategic shift by the competition, or the introduction of a new payment method – if a retailer can only react in six months, they've already lost. Often, slow IT processes and rigid infrastructures stifle innovative ideas before they reach the customer.
The vision of "Omnichannel Retail" sounds perfect in theory: order online, pick up in-store (Click & Collect), digital price tags that adjust in real-time, and intelligent inventory management across all locations. However, in practice, these concepts often fail due to the technological realities in stores.
Yesterday, the European Parliament made a decision that goes far beyond the usual Brussels symbolic politics in its scope. With a broad, cross-party majority, the EPP, Social Democrats, Liberals, and Greens adopted a report that unmistakably names Europe's digital reality: technological dependence on US corporations is not an operational accident, but a strategic risk. And it is no longer politically acceptable.
In modern retail, the fiercest competition no longer takes place on the shelves, but at the data level. Understanding what the customer will want tomorrow is key to winning. However, while retailers are investing millions in their digital transformation, many are making a critical strategic mistake: building their entire digital existence on the infrastructure of Amazon Web Services (AWS).
It's the nightmare of every e-commerce manager and retail CTO: Black Friday is approaching, marketing campaigns are in full swing, and just at the moment of the biggest customer rush, the online store crashes. Load times explode, checkouts fail, and the painstakingly acquired customers end up frustrated with the competition.
