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Author and maintainer: https://github.com/katursis
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#javascript #bark #dingtalk #discord #email #feishu #lark #message_pusher #telegram #websocket #wechat

This service allows you to set up your own message push system with multiple messaging channels. Here are the key benefits Supports email, WeChat, QQ, enterprise WeChat, Feishu, DingTalk, Bark App, WebSocket clients, Telegram, Discord, and more.
- **Easy Deployment** Allows custom Webhooks and supports Markdown formatting. You can also create groups of messaging channels to send messages to multiple channels at once.
- **User Management** Compatible with other message push services like Server Chan.
- **Flexible Usage**: Can be integrated into various systems such as blogs, scripts, and other applications to send notifications.

Overall, this service provides a flexible and powerful way to manage and send messages across different platforms.

https://github.com/songquanpeng/message-pusher
#go #cloud #cloud_computing #cloud_native #distributed_systems #go #golang #message_bus #message_queue #messaging #microservices_architecture #nats_server

NATS is a simple, secure, and fast communication system for digital systems, services, and devices. It can run anywhere, from your own server to the cloud or even a small device like a Raspberry Pi. NATS helps make complex systems easier to design and operate. With over 40 different language implementations, it's versatile and widely supported. Using NATS benefits you by providing a reliable and secure way to communicate between different parts of your system, making your work more efficient and stable.

https://github.com/nats-io/nats-server
#cplusplus #cache #cpp #database #fibers #in_memory #in_memory_database #key_value #keydb #memcached #message_broker #multi_threading #nosql #redis #valkey #vector_search

Dragonfly is a modern in-memory data store compatible with Redis and Memcached, offering up to 25 times higher throughput and better cache efficiency while using up to 80% fewer resources. It scales well with larger servers, supports many Redis commands, and features a unique, memory-efficient cache and fast snapshotting. Dragonfly provides low latency, high performance, and is easy to configure with familiar Redis options. Its design ensures atomic operations and efficient resource use, making it ideal for fast, cost-effective cloud applications needing real-time data access and high scalability. This means you get faster, more efficient caching and data handling with minimal changes to your existing setup[5][2][4].

https://github.com/dragonflydb/dragonfly