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.
Based on our record, Bootstrap should be more popular than Redis. It has been mentiond 362 times since March 2021. 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.
This will show the posts passed from the controller in a row of cards. Please notice that you are linking to Bootstrap’s CDN for easy styling. If there are no posts, a message on a card saying that there are no posts will be shown. - Source: dev.to / 17 days ago
Yeah, good point. It's kinda common to have a big footer. Examples: https://getbootstrap.com/, https://stake.us/ (casino) That way on desktop you could get away with a 50vh margin under the content and then another 50vh for the footer. - Source: Hacker News / about 1 month ago
FastHTML allows developers to build modern web applications entirely in Python without touching JavaScript or React. As its name implies, it is quicker to begin with FastHTML. However, it does not have pre-built UI components and styling. Getting the best out of this framework requires the knowledge of HTMX and UI styling using CSS libraries like Tailwind and Bootstrap. - Source: dev.to / about 2 months ago
Bootstrap is one of the oldest and most established CSS frameworks, originally developed by Twitter in 2011. It takes a component-based approach to web development, providing a comprehensive collection of ready-to-use UI elements and prebuilt components. - Source: dev.to / about 2 months ago
For the frontend, I had no prior experience, so I relied entirely on Claude's capabilities. 🙏 Claude generated the entire frontend in pure JavaScript, HTML, and CSS, and even added Bootstrap to it. This not only saved me a significant amount of time but also made my application responsive and visually appealing. - Source: dev.to / 2 months ago
Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / 8 days ago
Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 8 days ago
Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / 21 days ago
Redis® Cluster is a fully distributed implementation with automated sharding capabilities (horizontal scaling capabilities), designed for high performance and linear scaling up to 1000 nodes. . - Source: dev.to / about 1 month ago
Instead of spinning up Redis, use an unlogged table in PostgreSQL for fast, ephemeral storage. - Source: dev.to / 2 months ago
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Materialize CSS - A modern responsive front-end framework based on Material Design
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Bulma - Bulma is an open source CSS framework based on Flexbox and built with Sass. It's 100% responsive, fully modular, and available for free.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.