Developer Builds Kafka-Powered Incident Management SaaS for Small Ops Teams

·1 views

Turkish full-stack developer Akin Coskun has built OpsFlow, a multi-tenant incident management SaaS that lets small ops teams log incidents, assign severity levels, and track SLA deadlines with real-time notifications. The app uses a microservices architecture where an API, frontend, and a dedicated notification service communicate via Apache Kafka. Coskun acknowledges that Kafka may be more infrastructure than the tool's modest traffic strictly requires, but cites its durable event log as a key advantage — preventing notification loss, enabling event replay, and allowing new consumers to be added without modifying the producer. SLA deadline tracking and role-based access control are also driven by the same Kafka event stream, avoiding separate polling jobs. OpsFlow is built with Express.js, React, React Native, TypeScript, PostgreSQL, and Redis, and is currently live on Vercel with its source code publicly available on GitHub.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

AI Is Transforming Restaurant Menus Into Personalized Nutrition Guides

Artificial intelligence is reshaping how diners interact with restaurant menus by turning static dish lists into dynamic, personalized tools. Using natural language processing and machine learning, AI systems can parse menu descriptions to identify ingredients, flag allergens, and estimate nutritional content on the fly. These systems cross-reference food databases such as the USDA FoodData Central to generate calorie and macronutrient breakdowns even for custom dishes. Diners with dietary restrictions or health goals can receive tailored recommendations based on their preferences and order history, reducing guesswork at the table. The shift represents a broader convergence of food technology and AI, with potential benefits for both restaurant operators and health-conscious consumers.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Home Networker Ditches Fritz!Box 7690 for Ubiquiti UCG Ultra Over Performance Issues

A home network enthusiast replaced his Fritz!Box 7690 router with a Ubiquiti Cloud Gateway Ultra after months of unexplained Wi-Fi slowdowns affecting streaming and video calls. The Fritz!Box, while feature-rich with telephony, DECT, smart home, and VPN support, appeared overwhelmed by the combined workload and required frequent reboots to restore normal performance. The user wanted greater control over VLANs, firewall rules, and routing rather than an all-in-one device. His ISP, Buchholz Digital, uses a straightforward FTTH setup with no PPPoE — just DHCP over VLAN 700 — making the migration to UniFi relatively simple. He also published a Fritz!Box Config Decrypt Tool to help others extract credentials like SIP details from encrypted configuration export files during similar transitions.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Proposed Architecture Lets Arduino UNO R4 WiFi Run Apps Larger Than Its 256 KB Flash

A new modular firmware architecture aims to overcome the 256 KB internal Flash limit of the Arduino UNO R4 WiFi's Renesas RA4M1 microcontroller. The design splits a large application into independent firmware modules stored on an external non-volatile storage device, with only the currently needed module loaded into the MCU's executable Flash at any given time. The approach resembles historical concepts like overlays and loadable modules, adapted specifically for embedded microcontrollers. It is best suited for sequential applications, automation systems, robotics, and menu-driven devices, but is not ideal for workloads requiring all components to be simultaneously resident with very low latency. The architecture uses SPI to connect the external storage to the RA4M1, which also shares the board with an ESP32-S3 co-processor handling Wi-Fi and Bluetooth.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

1 in 10 Websites Have a Broken llms.txt File, Including Reddit

A developer analysis published on DEV Community on September 15 found that roughly 10% of websites have a misconfigured or broken llms.txt file. The llms.txt standard is an emerging convention designed to help AI language models better understand and index website content. The study notably flagged Reddit as one of the sites with an improperly implemented file. A broken llms.txt can potentially affect how AI systems read and represent a site's content. The findings have sparked discussion around the need for better adoption and validation of the emerging standard.

0 comments Read more at DEV Community