Microservice Architecture
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Related Articles from SNS
Analyzing the Evolution of Structural Communities within Microservice Architecture
arXiv:2606.04047v1 Announce Type: new Abstract: In recent years, the detection of anti-patterns in microservice architecture has gained traction, particularly to identify instances of Microservice Architectural Degradation. In such tasks, the microservice architecture is often modeled as a network of microservice dependencies. Recent works have explored how to assess the evolution of such architectural networks by considering the architecture of consecutive releases of the project.
Microskill Architecture: A Modular Skill-Driven Framework for AI-Native Code Generation
Announce Type: new Abstract: Large language models and AI coding agents have reshaped software development, but the path to fully AI-native systems faces structural challenges. Chief among them is managing context windows without losing accuracy or efficiency. When developers inject full project documentation and code into a model's memory, the model loses mid-sequence information, token costs spiral, and architecture drifts.
Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum
new Abstract: The Cloud-Edge Continuum (CEC) enables latency-critical applications by distributing resources to the far edge, but its extreme volatility makes proactive Zero Touch Management via time-series forecasting essential. However, orchestrators face a severe "cold start" problem: newly discovered nodes lack the historical data required to train localized predictive models, while generalized models fail to capture unique hardware and microservice behaviors. To solve this, we propose a...
Arm moves into the heart of the cloud stack
Arm-based processors are becoming a fundamental part of modern cloud infrastructure, moving beyond being a mere option. Major hyperscalers like AWS, Google Cloud, and Microsoft Azure are deploying Arm silicon to meet growing demands for performance while controlling power consumption and cost. This shift is enabling significant efficiency gains, with some companies reporting substantial cost savings and performance improvements by adopting heterogeneous cloud environments.
Nvidia Cosmos 3
Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what’s happening in their world, predict what’s likely to happen next, and generate actions for specific environments, embodiments, and tasks. NVIDIA Cosmos 3 is a frontier foundation model for physical AI that combines physical reasoning, world generation, and action generation within a single open model.
SECUREVENT: Hybrid AI/ML Security Monitoring for Distributed Event-Based Systems
Announce Type: new Abstract: Distributed event-based systems have become a common substrate for Internet-scale publish/subscribe services, IoT telemetry, cloud-native microservices, and security operations pipelines. Their loose coupling and asynchronous delivery improve scalability, but they also expand the attack surface: publishers, brokers, subscribers, topics, schemas, and temporal ordering can each be abused without a single component observing the whole behavior. This paper proposes...