
Node.js
VS Code
ExpressJS
Laravel
Django
Ruby on Rails
ASP.NET
React
memcached
Redis
MongoDB
Aerospike
Apache Cassandra
ArangoDB
CouchDB
PostgreSQL
Based on our record, Node.js seems to be a lot more popular than memcached. While we know about 922 links to Node.js, we've tracked only 37 mentions of memcached. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Event loops are a paradigm for processing events different than your typical single-threaded or multi-threaded application. Your request gets broken down into async "events" that are executed in a loop to improve performance and minimize synchronization across threads. It is famously used by Node.js as the backbone of their event processing and also by several other technologies like Redis and Nginx. - Source: dev.to / 20 days ago
Node >= 22 or higher installed on their local development machine. - Source: dev.to / 4 months ago
TypeScript / Node.js: Excellent for building asynchronous backend systems that must stream text data smoothly to thousands of users simultaneously. - Source: dev.to / 4 months ago
Because Node.js operates on a single-threaded asynchronous runtime, it is inherently vulnerable to processes that hog the CPU for too long. I absolutely cringe whenever I see developers blindly copy-pasting complex regular expressions from StackOverflow without actually testing their performance impact. - Source: dev.to / 4 months ago
This tutorial walks you through setting up a simple Docker Compose project that serves two Node web servers over HTTPS using Caddy as a reverse proxy. You will learn how to use mkcert to generate wildcard certificates and the minimal configuration needed in the Caddyfile and docker-compose.yml to get it all working. - Source: dev.to / 5 months ago
Memcached has a single, focused goal: to be a high-performance, distributed, in-memory object caching system. It stores all data in RAM, which means reads and writes are incredibly fast. But its main weakness is just as clear: data is completely lost when the service restarts, as it offers no persistence. Its data model is a simple key-value store, limited to basic get, set, and delete operations. - Source: dev.to / about 1 year ago
Memcached can help when lightning-fast performance is needed. These tools store frequently accessed data, such as session details, API responses, or product prices, in RAM. This reduces the laid on your primary database, so you can deliver microsecond response times. - Source: dev.to / over 1 year ago
In-memory tools like Redis or Memcached for fast Data retrieval. - Source: dev.to / over 1 year ago
A caching layer using popular in-memory databases like Redis or Memcached can go a long way in addressing Postgres connection overload issues by being able to handle a much larger concurrent request load. Adding a cache lets you serve frequent reads from memory instead, taking pressure off Postgres. - Source: dev.to / over 1 year ago
Memcached — Free and well-known for its simplicity, Memcached is a distributed and powerful memory object caching system. It uses key-value pairs to store small data chunks from database calls, API calls, and page rendering. It is available on Windows. Strings are the only supported data type. Its client-server architecture distributes the cache logic, with half of the logic implemented on the server and the other... - Source: dev.to / almost 2 years ago
VS Code - Build and debug modern web and cloud applications, by Microsoft
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Laravel - A PHP Framework For Web Artisans
Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.