This post details the design and development of the Smart Billing Assistant, an AI-powered telecom customer support agent. It utilizes a Python FastAPI service hosting a LangChain ReAct agent to provide a natural language interface for self-service flows, orchestrating Java Spring Boot microservices.
The paper introduces STARIXNet, a lightweight neural network for resource allocation in cloud platforms, addressing the limitations of current univariate solutions that neglect risks of underestimation and delays. This deep learning approach captures spatio-temporal relationships and multiple attributes to guide intelligent microservices scaling decisions.
AdeptAI is an AI platform for educators and students, developed for the GitHub Finish-Up-A-Thon. It enables teachers to auto-generate educational materials and provides students with personalized learning roadmaps and a RAG-based doubt-solver, all built on a microservice architecture with Gemini/Groq LLMs.
Loova Agents is a conversational AI platform designed for automating customer support and engagement, leveraging machine learning and natural language processing. Its microservices architecture includes key components like an NLP Engine for understanding customer input and Dialogue Management for crafting appropriate responses.
This content introduces MCP (Model Context Protocol), a standard enabling AI agents to discover and call external tools over HTTP, simplifying integration. It's presented as a practical solution for Java developers, with real-world examples from a microservices production system.
This paper presents a microservice architecture for operationalizing document understanding pipelines, combining OCR and Large Language Models for structured field extraction at production scale. It details key design decisions like asynchronous processing and independent scaling, noting OCR's dominance in end-to-end latency.
Microservices architecture in 2026 is evolving beyond basic modularity, focusing on AI-native systems, intelligent orchestration, and Zero Trust security to support global, self-securing, and real-time AI workloads. Developers must understand these trends for designing, deploying, and managing modern cloud-native applications effectively.
A company replaced its single "do-everything" AI agent with five specialized agents and a lightweight orchestrator, citing issues like context window bloat and unreliable tool selection. This shift mirrors the monolith-to-microservices migration seen in traditional software engineering, now applied to AI systems.
The article details the lessons learned from developing Veltrix, a treasure hunt engine, focusing on the difficulties encountered when attempting to build a monolithic system to handle both scalability and complex game logic. The team faced significant challenges, including managing microservices, load balancing, and resolving data inconsistencies, which led to a "nightmare to manage."
This document describes the Software Supremacy framework, a methodology for transforming source code into high-performance and resilient enterprise software. It details a four-stage code refinement process and a rigorous set of security measures, including Zero-Trust Architecture and data encryption.
This practical guide details building scalable microservices using Node.js and Docker, covering the creation of lightweight services, error handling, and structured logging. It addresses optimizing Docker images with multi-stage builds and implementing health checks, alongside scaling strategies with Docker Swarm or Kubernetes.
Buildermark is an open-source, self-hosted platform designed to manage and monitor software development workflows, aiming to optimize build, test, and deployment processes. Its microservices-based architecture offers customizable workflows with components like API Gateway and Project/Job services.
The article details the complexity of e-commerce platform architecture, addressing challenges such as traffic peaks and inventory management. It emphasizes the importance of a service-based approach for scalable and resilient systems.
Legacy online gambling platforms struggle with modern traffic and decentralized network demands. KodeDice provides high-performance infrastructure for Web3 iGaming, integrating blockchain to cut payment costs and eliminate settlement delays.