The ride-hailing giant's engineering team publishes the architecture behind its enterprise MCP deployment, validating the ...

Enterprise adoption of agentic AI is moving at warp speed. A 2025 survey of 550 IT leaders found 90% of organizations are actively rolling out autonomous AI agents, and more than half already rely on ...

Abstract: Accurate anomaly detection is crucial for the reliability of microservice systems. However, most existing anomaly detection approaches only detect deviations from the global expected ...

This is the fourth article in our five-part series on agentic AI in the enterprise. In Part 3, we detailed the seven pillars of a solid AI agent architecture. Now we turn to how to use that ...

While AI agents can flawlessly execute tasks previously thought exclusive to humans, they can also commit hair-raising errors in the very next piece of code. These mistakes serve as a stark reminder ...

The promise of microservices' scalability and agility often hides expensive problems that appear in real-world systems. Below, I'll share seven actual microservices failure lessons, which include ...

Definieren Sie ein umfassendes Domänenmodell für jeden Business-Microservice oder gebundenen Kontext. Ihr Ziel ist es, ein einzelnes einheitliches Domänenmodell für jeden Business Microservice oder ...

Abstract: Documenting software architecture is essential to preserve architecture knowledge, even though it is frequently costly. Architecture pattern instances, including microservice pattern ...

ABSTRACT: Microservices have revolutionized traditional software architecture. While monolithic designs continue to be common, particularly in legacy applications, there is a growing trend towards the ...

Microservices, or microservices architecture, is an approach to the design and implementation of enterprise applications in which a large application is built from modular components or services. Each ...