Mesh

Big Data Architectures for a Data-driven Era The data landscape has grown quickly. Companies collect data from apps, devices, and partners. To turn this into insight, you need architectures that are reliable, scalable, and easy to evolve. A modern data stack blends batch and streaming work, clear ownership, and strong governance. It should support analytics, machine learning, and operational use cases. Three patterns shape many good designs: data lakehouse, data mesh, and event‑driven pipelines. A data lakehouse stores raw data with good metadata and fast queries, serving both analytics and experiments. Data mesh treats data as a product owned by domain teams, with clear contracts, discoverability, and access rules. Event‑driven architectures connect systems in real time, so insights arrive when they matter most. ...

APIs and Middleware: Connecting Modern Systems APIs connect apps, services, and devices. Middleware sits between them, translating formats, routing messages, and handling security. Together, they let teams mix best-of-breed components without rewriting code. This post explains how they fit in modern architectures and how to use them well. APIs are contracts. Middleware is the plumbing that makes requests, data flow, and retries reliable. With the rise of microservices, you will see gateways, service meshes, and message brokers as common layers that manage traffic and policy. Clear boundaries help teams move fast without breaking others. ...

Middleware Architecture for Modern Apps Middleware helps apps talk to each other. It handles requests, messages, security, and reliability so developers can focus on business logic. A well designed middleware stack reduces latency, improves fault tolerance, and makes deployment across clouds smoother. Modern apps use layered patterns: edge patterns with an API gateway and authentication, internal service-to-service communication through a service mesh, and asynchronous channels via message brokers or streams. Together, these layers keep services decoupled and resilient, while offering observability across the stack. ...