Confluent Cloud launched a dbt adapter that lets data engineers manage streaming SQL transformations with the same CI/CD, testing, and documentation workflows used for batch data. The adapter, built o…
Integration tests for JVM web services should be placed in a separate module to keep fast unit tests fast and ensure honest dependency boundaries. The environment—including databases, message brokers,…
A developer released a demo AI pipeline using FastAPI, Redpanda (Kafka-compatible), and Docker, where an API gateway publishes events consumed by separate workers for extraction, summarization, and no…
A developer details how ride-hailing platforms like Uber and Grab calculate surge pricing in real time using a demand/supply ratio per H3 hexagon cell, recalculated every 30–60 seconds via a lookup ta…
A developer built an AI pipeline using FastAPI, Kafka (Redpanda), and Python workers to decouple services and handle bursty workloads. The architecture splits the API from background processing, impro…
A developer has built a production-grade AI trading bot for Polymarket that operates autonomously with persistent memory, server-side event loops, and native tool integration. The system uses a multi-…
A developer built a complete AI infrastructure stack from scratch, including a crash-recovery storage engine, an LLM inference cache, a Kubernetes-based training orchestrator, and an async AI data pip…
Cloudflare built Town Lake, a unified data analytics platform, and Skipper, an AI data agent, to solve internal data sprawl caused by processing over a billion events per second across 330+ cities. Th…
Kafka provides AI pipelines with async decoupling, replayability, and backpressure to handle variable latency and concurrency spikes, while Zilla adds JWT identity, schemas, access filtering, and SSE …
LogiFlow experienced a cascade failure when its invoice service crashed due to a memory leak, taking down the routing, tracking, and customer portal services because AI had connected them with synchro…
Confluent Cloud introduces new capabilities for building secure, compliant Retrieval-Augmented Generation (RAG) architectures in regulated industries and the public sector, addressing data residency, …
This article describes how to build production-grade AI agent systems using a microservices architecture, moving beyond single-process prototypes that fail at scale. It advocates for designing each "m…
The article explains that for fintech platforms with over 1 million users, notification systems must be designed as resilient distributed systems rather than simple API calls. It recommends using asyn…
The article describes RedBase, an open-source .NET ecosystem developed over three years to eliminate repetitive infrastructure work in .NET projects. It replaces traditional data layers, integrations,…
The article criticizes the trend of overengineering in software development, where developers choose complex tools and architectures (like microservices) for simple projects, often driven by "Resume-D…
This article, Part 13 of a 15-part Apache Iceberg Masterclass, outlines three primary methods for streaming data into Iceberg tables: Spark Structured Streaming, Apache Flink, and the Iceberg Sink Con…
Backlog recovery time depends on surplus capacity (total processing rate minus arrival rate), and systems provisioned for steady-state traffic have no recovery capacity. The non-linear relationship be…