# KVS Published articles for KVS. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Amazon KVS WebRTC SDK for Espressif Chipsets and ESP RainMaker Camera DevFeed: [Amazon KVS WebRTC SDK for Espressif Chipsets and ESP RainMaker Camera]() Original publisher: [Read original article]() Author: John Lee Published: 2026-01-30T00:00:00Z Content type: release Language: en Sources: [Blog on Developer Portal]() Topics: [SDKs](), [WebRTC](), [Espressif](), [ESP-IDF](), [ESP32](), [Esp Rainmaker](), [amazon](), [Microcontroller](), [Streaming](), [Internet of things](), [Low Latency]() Tags: [announce](), [aws](), [blog](), [camera](), [esp-idf](), [esp-rainmaker](), [esp32](), [esp32p4](), [espressif](), [iot](), [kvs](), [low-latency](), [microcontrollers](), [rainmaker](), [sdk](), [spiram](), [video](), [video-streaming](), [webrtc]() ### AI overview Espressif announces an ESP-IDF port of the Amazon KVS WebRTC SDK for ESP32 microcontrollers. The port supports real-time audio and video streaming and includes memory optimizations, SPIRAM integration, WebRTC Split Mode, and a simplified API. The article also presents ESP RainMaker Camera as a production-ready use case. ### Source excerpt This article announces the ESP-IDF port of Amazon KVS WebRTC SDK, featuring memory optimizations, split mode power savings, and a simplified API. We also showcase ESP RainMaker Camera as a production-ready use-case built on this SDK. ## KVS: The key-value storage engine that powers the Fury ecosystem DevFeed: [KVS: The key-value storage engine that powers the Fury ecosystem]() Original publisher: [Read original article]() Author: Ariel Zach Published: 2025-10-01T14:09:08Z Content type: article Language: en Sources: [Mercado Libre Tech]() Topics: [NoSQL](), [Persistence](), [Scalability](), [Low Latency](), [Availability](), [Data Management]() Tags: [architecture](), [availability](), [data](), [database](), [databases](), [development](), [distributed](), [fury](), [infrastructure](), [key-value-store](), [kvs](), [low-latency](), [nosql](), [persistence](), [resilience](), [scalability](), [security](), [storage]() ### AI overview This article explains KVS, a key-value storage system in the Fury ecosystem. It describes how unique key-value pairs enable fast access, and reports that KVS supports large-scale distributed persistence with automatic scaling, low latency, availability, and recovery mechanisms. ### Source excerpt In modern software development, the efficiency, scalability, and resilience of data storage systems are critical to any platform's success. In this context, KVS (Key-Value Store) emerges as a fundamental component within the Fury ecosystem, offering a robust and flexible solution for data management. This article explores what KVS is, how it works, and why it's so important for Fury and its users. What is KVS? KVS, or Key-Value Store, is a data storage system based on the key-value paradigm. Unlike traditional relational databases, which organize data in tables and rows, KVS stores each data element as a unique key-value pair. This approach simplifies access and manipulation of information, enabling extremely fast and efficient operations. In Fury, KVS isn't just another database -- it's the fundamental engine that drives distributed, scalable, and fault-tolerant data persistence and retrieval. Currently, KVS processes over 642 million operations per minute, including 572 million reads and 70 million writes. The underlying infrastructure scales automatically and maintains low latency even under high-demand scenarios. The service is used by more than 7,600 applications within Mercado Libre (around 25% of the total), making it a key component of the ecosystem. Overall, it stores over 9 petabytes of data with mechanisms that ensure availability and recovery in case of failures. How does KVS work? Each piece of data is stored under a unique key. To retrieve or modify a value, you only need to know its key, eliminating the need for complex queries and relationships. This speeds up both read and write operations. KVS is built on top of the Fury ecosystem, which provides key guarantees such as scalability, security, and traffic control. It uses an architecture based on a fully managed NoSQL solution, designed to automatically adapt to demand. Thanks to this infrastructure, KVS inherits advanced scalability capabilities, allowing it to grow automatically and transparently, c