microservices

This article presents the development of a recommender system for recruiting personnel and vacancies to improve the efficiency of the hiring process. The proposed system has integrated collaborative and hybrid filtering methods to provide personalized job recommendations. Collaborative filtering model has analyzed historical data, identifying patterns by detecting connections between user information and job content.

This study examines the capabilities and limitations of small, 4-bit quantized language models that run locally on Apple Silicon. Four models have been benchmarked on a dataset of natural language prompts, with runtime metrics including inference time, memory usage, and token throughput, as well as output behavior. The study provides an empirical assessment of the feasibility of deploying language models on resource-constrained devices.

The article is dedicated to monitoring and researching the environmental condition of areas that have the status of nature-reserved. The work describes the creation of an information system with elements of artificial intelligence for studying the environmental condition of nature-reserved territories. As a result of the analysis of monitoring data, primary data for work was identified, and a database was formed. Special attention is paid to the description of the information model of the object and the indicators selected for its adequate functioning.

Microservices represent a software development approach, a variation of service-oriented architecture, that structures an application as a collection of loosely connected services. The aim of this work is to explore the design and implementation methodology for information systems using micro-interfaces to enhance development quality and speed while simplifying their usage. This work proposes a method for transitioning from a monolithic software architecture to a microservice architecture.

The study of this work was focused on the process of protecting CRM systems in the conditions of the transition of software, which is the main part of CRM systems from a monolithic architecture to an architecture based on microservices. This article explores a migration strategy using the Strangler Fig pattern that facilitates the incremental adoption of microservices while maintaining compatibility with the existing monolith.

Integrating AI agents within serverless architectures offers a modern approach to deploying and executing intelligent applications. Leveraging the advantages of serverless computing, AI agents can dynamically respond to varying workloads without the overhead of managing the underlying infrastructure. This article explores the concept of scalable serverless AI agents in the cloud, detailing their architecture, benefits and drawbacks, challenges, and real-world applications. The paper provides advantages and drawbacks of the serverless approach.

The emergence of microservice architecture has revolutionized software development practices by decentralizing components, facilitating scalability, and enabling agility in system design and deployment. There are some benefits of incorporating microservices instead of a single server, however, distributed components introduce extra constraints and complexities in maintaining data consistency as well. As microservices interact independently, coordinating data updates across multiple services becomes challenging, particularly in scenarios where transactional integrity is required.

Microservices are a software development technique, or variant of the service-oriented architecture structural style, that organizes an application as a collection of loosely coupled services. The purpose of the work is to study the methodology for the design and implementation of information systems using micro-interfaces in order to improve the quality and speed of their development and facilitate their use. The article proposes a method of transforming the software system architecture from monolithic to microservice architecture.

The design of modern Cyber-Physical Systems (CPS) connects physical and digital realms from cloud systems to edge devices. Microservice architecture has been widely used for IT solutions and emerges as a promising approach for supporting CPS that are more efficient, adaptable, and interconnected. However, there is an increasing need to improve the availability, reliability, and resilience of microservice systems according to the needs. This paper summarizes the challenges and drawbacks of microservice architecture used for CPS.

Microservices is an architectural style in software development that involves constructing a big solution using small, self-contained services. A set of services are connected via well-defined APIs and work together like a coherent system. The application of microservices architecture spans a wide range of domains, e.g., healthcare, finance, government, military, gaming, and entertainment. This article analyzes existing project architecture approaches for Node.js, and improves scalable project architecture for Node.js using shared dependencies.