Smart systems, artificial intelligence, data analysis and software technology
There is something timeless and universal about our connection to mountains. Whether it’s the jagged teeth of the Himalayas or the gentle curves of the Alps, the sight of these natural wonders captures our imagination and fuels our sense of adventure. With the advance of satellite technology, especially the initiatives from the European Space Agency […]
Transforming AI Tooling: Deploying Remote MCP Servers with Google Cloud Run As Large Language Models (LLMs) become more central to modern software systems, the need to supply them with relevant and reliable context has grown urgent. Developers often face challenges integrating external data and tools into LLM workflows, especially when trying to maintain deterministic behaviors […]
In recent years, the convergence of artificial intelligence, smart homes, and automation protocols has produced one of the most significant developments in modern home technology: the Model Context Protocol (MCP). As AI models become increasingly powerful, so does the demand for methods that allow them to interact intelligently with complex, real-world systems. One such innovation […]
In a world increasingly dominated by convenience, speed, and overconsumption, the culture of repair and upcycling is making a strong comeback. At the heart of this movement stands a powerful tool: the 3D printer. Once considered a futuristic luxury, 3D printing has become a practical, accessible, and environmentally responsible solution for millions of makers, hobbyists, […]
In the dynamic landscape of artificial intelligence (AI) and natural language processing (NLP), the demand for efficient and high-performance vector databases has never been more crucial. These databases serve as the backbone for various applications, including language models (LLMs) that rely on semantic understanding. In this blog post, we delve into three leading vector databases […]
A semantic cache for large language model (LLM) based applications introduces a plethora of advantages that revolutionize their performance and usability. Primarily, it significantly enhances processing speed and responsiveness by storing precomputed representations of frequently used language elements. This minimizes the need for repetitive computations, leading to quicker response times and reduced latency, thereby optimizing […]
Providing human support engineers to handle incoming queries about products and services can be both costly and limited in its scalability. This is particularly challenging for self-published mobile apps and small to medium-sized businesses, as they often lack the financial resources to offer human support. I personally experienced this issue when I published my own […]
Over the last couple of years, OpenTelemetry became the de-facto instrumentation standard for collecting and observing distributed service trace information. OpenTelemetry allows users to add standardized instrumentation code within their applications with the purpose of observing traces, metrics, logs and events independent of service implementation technologies and across all the major cloud vendors. Within this […]
Amazon S3 simple object storage represents the industry standard for cheap storage of large files. All modern cloud vendors do offer S3 alternative services that offer the same access and nearly the same conditions in terms of features and prices. One can say that S3 represents the backbone of modern cloud storages offering a scalable, […]
Observability and monitoring of software service infrastructure is the basis for modern Site Reliability Engineering (SRE) and to successfully run and scale your IT infrastructure. As the digital transformation of business processes and the shift towards highly dynamic cloud infrastructures keeps on accelerating, the dependency on human operation teams poses a critical bottleneck. Especially with […]