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TL;DR Provider dependencies in edge operations do not arise solely from the number of providers used. Critical are the technical couplings along DNS, …
TL;DR Anycast DNS is more than an alternative distribution method for DNS queries. As an authoritative service, it forms an independent, distributed …
In many machine learning initiatives, the speed of innovation and IT security collide head-on: To achieve rapid training results, data scientists, …
In many industrial and manufacturing companies, there is growing pressure to use generative AI for automated error reports, maintenance logs, and …
In many data science initiatives, there is a significant gap between the proof-of-concept in a Jupyter Notebook and a robust production environment: …
In many companies, the use of modern accelerator hardware resembles an unregulated race: Data scientists reserve entire high-end GPUs like the NVIDIA …
Backups are created every day. Green status messages confirm successful backups. Backup jobs run automatically in the background, providing a sense …
The hype around generative artificial intelligence (AI) and Large Language Models (LLMs) has become a tangible operational reality in medium-sized …
– but what if there’s a real fire? When customer systems are on fire, we act like firefighters—quickly, methodically, and solution-oriented. …
Artificial Intelligence is no longer a hype in e-commerce but a tool for scaling. Whether it’s generating product descriptions from technical …
Since the breakthrough of ChatGPT, it’s clear: AI can do more than just analyze numbers. It can write reports, summarize maintenance …
In software development, Git is the “Source of Truth.” When something goes wrong, you check the commit history. In the world of …
In a pilot project, many things are forgiven in AI. If an anomaly prediction takes two seconds, it’s not the end of the world. But in …
In industrial AI, such as predictive maintenance for sensor data analysis software, data streams are the lifeblood. Thousands of sensors provide …
In many machine learning teams, an unwritten rule prevails: first come, first served. Whoever starts the first training job in the morning occupies …
TL;DR Artificial Intelligence (AI) is the new standard, but using cloud APIs like OpenAI (ChatGPT) or Anthropic comes with a significant catch: data …
In traditional software development, CI/CD (Continuous Integration / Continuous Deployment) has long been established as a standard. However, in the …
A Large Language Model (LLM) without access to current enterprise data is like a brilliant professor without a library: it has the world’s …
Those deploying Large Language Models (LLMs) or complex deep learning pipelines in production quickly realize: A standard Kubernetes cluster …
In modern IT infrastructure, the GPU has become the new CPU. Whether it’s Large Language Models (LLMs), computer vision, or complex data …
The hype around proprietary SaaS AI models gives way to a sober cost-benefit analysis by 2026. While companies initially paid token fees to …
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 …
The hype around Artificial Intelligence has ushered in a new era of IT spending. Those who train or operate LLMs (Large Language Models) today …
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 …
Polycrate CLI version 0.29.16 brings comprehensive improvements for monitoring Kubernetes workloads and a new knowledge base for AI-assisted …
When an AI model leaves the training phase, the real challenge begins: productive inference operation. Serving a Large Language Model (LLM) in a …
In a Retrieval Augmented Generation (RAG) architecture, the vector database (Vector DB) is the core component. It provides the Large Language Model …
Anyone operating traditional microservices knows: metrics, logs, and traces are the lifeline. However, conventional monitoring approaches hit their …
The introduction of Artificial Intelligence in small and medium-sized enterprises has opened a new security front. When we train LLMs or build RAG …
Integrating an NVIDIA H100 or A100 into your cluster today quickly reveals that the classic 1-to-1 allocation (one pod reserves an entire GPU) often …
The excitement around Large Language Models (LLMs) and generative AI has brought a fundamental question back to IT departments: How do we scale …
Almost every modern company is working on an AI strategy today. Whether it’s Large Language Models (LLMs), image recognition in quality …
The rapid development of Artificial Intelligence, particularly Large Language Models (LLMs) like Google Gemini or OpenAI’s ChatGPT, has the …
The European debate on “sovereign AI” is often reduced to regulation, data protection, and societal acceptance. What is often overlooked: …
GPUs in Kubernetes: Practical Guide for H100, MIG & Time-Slicing How to securely, efficiently, and cloud-natively provision GPU resources for …
An AI influencer is not a human who spontaneously decides whether to post a video or a post today. An AI influencer is a digital persona, fully …
Everyone is talking about AI, Large Language Models, inference pipelines, custom LLMs, and co-pilots for all conceivable business processes. What is …
Introduction In today’s software development landscape, where AI-powered tools like GitHub Copilot and similar assistants provide support, many …