Node.js Microservices Architecture: A Complete Guide
Most teams don't decide to build microservices. They get pushed into it. One app grows for a couple of years. More people push into the same codebase. Then a change to something to...
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Most teams don't decide to build microservices. They get pushed into it. One app grows for a couple of years. More people push into the same codebase. Then a change to something to...
Modern applications are increasingly built as collections of independently deployable services rather than as a single monolithic application. Microservices make it possible to sca...
Один и тот же артефакт разворачивается монолитом и кластером микросервисов. Те же модули, один дашборд на все воркеры, горячая замена без рестарта контейнера. Когда команда режет...
The enterprise software landscape is undergoing a foundational architectural shift that rivals the original transition from monolithic applications to distributed systems. For the...
Microservices do not eliminate transactions. They force architects to decide where a transaction should end. That decision is harder than it sounds. A business operation that was o...
When engineering teams build distributed systems, they naturally reach for REST over HTTP/1.1 with JSON payloads. JSON is readable, universally supported, and trivially easy to deb...
Монолит документооборота, менеджмент говорит: «пора пилить на микросервисы». Мы нарезали шесть сервисов, сверху повесили API Gateway, Load Balancer и Circuit Breaker и какое-то вре...
Часть одинИмеется большая часть кодовой базы, в которой есть логика, которую требуется вынести...Один, два, три Читать далее
Most agent projects start the same way: one model, one prompt loop, three or four tools. That's the right place to start, and for a lot of workloads it's also the right place to st...
Modern applications usually depend on several APIs and microservices. During development and testing, however, those dependencies may not always be available. A downstream service...
In Part 1 of this series, we built a Quarkus-based MCP tool server and connected it to the Goose AI agent over Streamable HTTP. The tools worked, the demo was clean, and everything...
We ship two Model Context Protocol servers. One runs inside a desktop application, on the machine where the data already lives. The other runs as a hosted service behind an account...
Goose — the open-source, Rust-based AI developer agent from Block (donated to the Linux Foundation’s Agentic AI Foundation) — interacts natively with your local development environ...
Agent systems are increasingly decomposed into specialized services: a planning agent delegates research, a research agent invokes retrieval and synthesis, and a compliance agent v...
AI applications used to be relatively simple. A user sent a prompt. An application sent that prompt to a model. The model returned an answer. The application displayed it. That a...
Stop blocking your services! Learn how to master asynchronous APIs, event brokers, and API gateways to build scalable, real-time applications. The post Mastering Asynchronous API M...
Most gateway tutorials stop at "here's how you route a request." That's the easy 20%. The hard part is what happens when a client hammers you with requests, a downstream service fa...
Modern software applications depend on communication between clients and servers. Every time a browser loads a webpage, a mobile application retrieves a user’s account information,...
Have you ever looked at a complex microservice architecture crash under a minor traffic spike and wondered if we have actually learned anything since the late 1990s? Back when Sun...
Deploying modern software applications across sprawling networks of cloud data centers and edge devices is a constant balancing act. Engineers must keep services running when hardw...
Ten minute delivery looks like magic from the app. Underneath, a chain of geospatial lookups, live inventory, event streams and rider dispatch has seconds to do its job, and this i...
How we split a tightly coupled Python pipeline into independently deployable services The post When One Process Becomes Too Much: Splitting a Pipeline into MCP Services appeared fi...
Spring AI, LangChain4j, Quarkus, and Helidon all now speak the Model Context Protocol. That is a bigger shift than another integration library, because for the first time it points...
What if you could multiplex roughly 250 stateful agent sessions across eight Kubernetes worker Pods, then reactivate any one without losing its in-memory or filesystem state? The r...
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