
Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
RequireJS
rollup.js
JSHint
stealjs
JSPM
npm
Webpack
Ender
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
RequireJSRequireJS is recommended for projects that are already using it, especially if the project is large and refactoring to a different module system would be resource-intensive. It can also be suitable for legacy web applications that have complex dependency chains which have been built with AMD (Asynchronous Module Definition) patterns. However, newer projects are better served with modern bundlers and native ES6 module syntax.
Based on our record, Redis seems to be a lot more popular than RequireJS. While we know about 237 links to Redis, we've tracked only 14 mentions of RequireJS. 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.
Why a cache server? Well, to be, a cache system is the smallest piece of software one can found everywhere. There is a reason why redis, memcached or many other projects like that are used by everybody: developers need a way to store data quick. It could be for a session, for temporary data or simply to avoid annoying the main core database. A cache service is easy to create (key/value store), and can become... - Source: dev.to / 2 months ago
Adding caching layers using services like Redis cache,. - Source: dev.to / 2 months ago
Redis works well as the queue layer for this pattern. The receiver appends events to a list or stream. Workers consume from the stream, update event status on completion, and move failed events to a dead-letter queue after exhausting retries. - Source: dev.to / 3 months ago
Bifrost supports dual-layer semantic caching with exact match and semantic similarity. Backend options include Redis for exact caching, Weaviate for vector-based semantic matching, and Qdrant as an alternative vector store. - Source: dev.to / 3 months ago
In-memory caching shared across instances. There are no sticky sessions by default (though session affinity is available on a best-effort basis). Each request might hit a different instance. If you need shared state, you need an external store like Redis or Memorystore. - Source: dev.to / 4 months ago
That's the job of Closure Compiler. Closure is an optimizing JavaScript compiler that ClojureScript is using since its initial release, in 2011. At the time JavaScript didn't have standard module format, remember AMD, UMD, RequireJS and CommonJS? Closure folks at Google invented another one, where goog.provide declares a module and goog.require imports another module. - Source: dev.to / 8 months ago
The fact that everything was loaded synchronously, which was not really an issue at that time when writing for servers, it was not really feasible for front-ends. Therefore RequireJS was brought to live. If you ever wondered how it looks, there is an example repository still living. If you are more interested in the history, look up: AMD, UMD, RequireJS. - Source: dev.to / about 1 year ago
There is a library called requirejs (https://requirejs.org/) that accomplishes what I am referring to. However, this is essentially similar to the situation in PHP prior to version 5.3 - a solution implemented at the level of a separate library rather than at the language level. Source: about 3 years ago
Webpack is the most popular bundler and it followed on the heels of Require.js, Rollup, and similar solutions. But the learning curve for a tool like webpack is steep. Getting started with webpack isnโt easy due to its complex configurations. As a result, in recent years another solution has emerged. This tool is not necessarily a front-runner, but an easier-to-digest alternative on the front-end module bundler... - Source: dev.to / over 3 years ago
I have a number of JavaScript "classes" each implemented in its own JavaScript file. For development those files are loaded individually, and for production they are concatenated, but in both cases I have to manually define a loading order, making sure that B comes after A if B uses A. I am planning to use RequireJS as an implementation of CommonJS Modules/AsynchronousDefinition to solve this problem for me... Source: about 4 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
rollup.js - Rollup is a module bundler for JavaScript which compiles small pieces of code into a larger piece such as application.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
JSHint - New JSHint website. Anton Kovalyov Oct 1st, 2013. For the last couple of weeks I've been working on a new homepage for JSHint and today I'm proud to announce the new jshint. com! JSHint Website.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
stealjs - Futuristic JavaScript dependency loader and builder. Speeds up application load times. Works with ES6, CommonJS, AMD, CSS, LESS and more. Simplifies modular workflows.