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Stay up to date with our latest articles about cloud-native technologies, Kubernetes, and DevOps.
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The trade conflict with the USA is reflexively narrated in Europe as a power asymmetry. Washington imposes tariffs, threatens sanctions, or uses its technological dominance as leverage – and Brussels reacts. The image: a dependent continent, caught between security policy ties and economic vulnerability.
The BSI draws a clear line: From the end of 2031, the sole use of classical key agreement methods like RSA and ECC will no longer be recommended. For applications with very high protection needs, the deadline is already by the end of 2030. Digital signatures should be implemented in a hybrid manner by 2036 at the latest. TR-02102 thus effectively becomes the migration roadmap for Post-Quantum Cryptography (PQC).
The debate on digital sovereignty in Europe is often oversimplified. It usually centers around whether European states and companies should distance themselves more from American technology providers. IT security lawyer Dennis-Kenji Kipker warns in an interview with the *Börsen-Zeitung* against blanket demands to ban big tech companies from the USA. His argument focuses on a nuanced perspective: Digital sovereignty is not achieved through origin bans, but through effective competition, interoperability, and clear regulatory frameworks.
The European payment landscape has long been dominated by international providers. A significant portion of card and mobile payments within the European Union is processed through networks like Visa, Mastercard, Paypal, or Alipay. According to the European Central Bank (ECB), 56 percent of cashless payments in EU member states are card payments. Visa and Mastercard process transactions estimated at around 24 trillion USD annually.
The debate on digital sovereignty is no longer a technological detail. It is a question of political agency. Since the visible rapprochement of leading US tech entrepreneurs with the Trump administration, it has become clear how closely economic platform power and political influence are intertwined.
In a traditional IT infrastructure, there was a clear causal chain: an administrator changed a line of code, and the system responded. In the world of **Agentic AI**, the AI makes autonomous decisions (e.g., terminating instances or rerouting traffic) based on billions of parameters. Without a strategy for **Explainability**, the infrastructure becomes unpredictable.
The classic "Data Lake" model has failed. Companies have invested millions in infrastructure to collect data in one place, only to find that this data "rots" there due to lack of context. The Data Mesh breaks with this paradigm: instead of pouring data into a central lake, it remains where it is generated—in the responsibility of the respective domain (e.g., logistics, sales, production).
Today's internet security relies almost entirely on the difficulty of factoring large numbers into prime factors (RSA) or computing discrete logarithms on elliptic curves (ECC). A sufficiently powerful quantum computer uses the **Shor algorithm** to solve these problems trivially.
The federal administration spent 481.4 million euros on Microsoft licenses in 2025. In 2023, it was 274.1 million euros, and in 2024, it was already 347.7 million. Over two years, spending has increased by more than 75 percent.
Until recently, infrastructure automation was reactive: when CPU usage exceeded 80%, Kubernetes would start a new pod (autoscaling). This is efficient but dumb. It does not recognize contexts and cannot solve complex problems.
Until now, compliance has been the natural enemy of agility in many companies. While software development scales in milliseconds thanks to Cloud-Native and DevOps, compliance checks have taken weeks: manual controls, random configuration screenshots, and thick folders full of documentation that were already outdated before the ink was dry.
In the past, securing the front door (the firewall) was enough. But today, threats come "delivered to your door"—hidden in the thousands of dependencies we load into our systems daily via `npm`, `pip`, or `docker pull`. A single compromised component in an open-source library can cripple your entire infrastructure from within.
The hype around Artificial Intelligence has ushered in a new era of IT spending. Those who train or operate LLMs (Large Language Models) today quickly realize: The costs for Graphics Processing Units (GPUs) follow entirely different rules than traditional CPU instances. A single H100 instance in the cloud can cost as much per month as a small car.
In IT security, the "fortress" principle long prevailed: high walls, deep moats (firewalls). But the reality in 2026 shows: Once an attacker is inside the network (e.g., through stolen credentials), they often move horizontally through the infrastructure unnoticed for weeks. This is where **Deception Technology** comes in. Instead of just blocking, we turn the infrastructure into a digital minefield of deceptions.
The **Ingress-NGINX Controller** maintained by the Kubernetes community (repository `kubernetes/ingress-nginx`) will officially reach its end of life in **March 2026**. After this date, there will be **no more releases, bug fixes, or security patches**. Existing installations won't "break" immediately, but they will continue **uncontrolled**: new CVEs, new Kubernetes versions, new incompatibilities – without upstream fixes.
Few IT topics are currently as emotionally debated as the question of the "right" cloud: European cloud providers or global hyperscalers like AWS, Microsoft Azure, and Google Cloud?
Edge computing is often touted as a logical evolution of the cloud. Processing power closer to the data source, reduced latencies, more efficient processing of large data volumes – that's the theory.
Multi-Cloud is no longer just a trend. It has become an operational reality—often intentional, sometimes evolved, rarely fully thought through.
The Saarlouis Economic Development and the IHK Saarland invited to the economic policy kickoff of the year at the RAG representation in Ensdorf. The location was deliberately chosen—and it fit.
Website analytics without third-party tracking: Build a GDPR-compliant analytics solution with nginx JSON logs, VictoriaLogs and Grafana -- running entirely on your own infrastructure.
For decades, almost all computers have followed the **Von Neumann architecture**: a strict separation of processor (CPU) and memory. Data must constantly be shuttled back and forth between these two units. In the era of cloud computing and desktop PCs, this was efficient enough. However, for the **edge intelligence** of tomorrow, this model is a bottleneck—both in terms of speed and massive energy consumption.
In traditional business economics, IT infrastructure is often seen as a necessary evil—a cost center to be minimized. However, in the age of digital disruption, this mindset is dangerous. A modern, scalable infrastructure is not a cost factor but a **strategic asset**.
In the past decade, the direction was clear: all data and processes were moving to the central cloud. However, we are reaching physical and economic limits. When an autonomous system in a factory reacts to an obstacle or AI-driven quality control on the assembly line makes millimeter decisions, the path to a remote data center is too far. Latency becomes a safety risk, and the costs of data transport explode.
A silent act of rebellion occurs daily in German offices. When the official process for data exchange with an architectural firm via the "secure mailbox" takes three days and requires five manual approvals, the clerk instead sends the plan via their private WeTransfer account. When coordination in the crisis team is too slow over official phone calls, a WhatsApp group is created.
