Category: coding

Exploring the Top 3 Vector Databases: Weaviate, Milvus, and Qdrant as Semantic Caches for LLM-Based Applications

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 […]

OpenTelemetry: How to Observe a Dockerized Python Service in Google Cloud

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 […]

Observability and the Challenge of detecting Anomalies in High Cardinal Data

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 […]