6 Best Articles on Redis
The most useful articles on redis from around the web—beginners to advanced—curated by thought leaders and our community. We focus on timeless pieces and update the list whenever we discover new, must-read articles or videos—make sure to bookmark and revisit this page.
Top 5 Redis Articles
At a glance: these are the articles that have been most read, shared, and saved on redis by Refind users in 2023 so far.
How to ...?
How to Use Redis With Python
In this step-by-step tutorial, you'll cover how to use both Redis and its Python client library. You'll learn a bite-sized slice of Redis itself and master the redis-py client library.
Short Articles
Short on time? Check out these useful short articles on redis—all under 10 minutes.
dragonflydb/dragonfly: A modern replacement for Redis and Memcached
A modern replacement for Redis and Memcached. Contribute to dragonflydb/dragonfly development by creating an account on GitHub.
Moving persistent data out of Redis
Historically, we have used Redis in two ways at GitHub:
Redis bitmaps – Fast, easy, realtime metrics
At Spool, we calculate our key metrics in real time. Traditionally, metrics are performed by a batch job (running hourly, daily, etc.). Redis backed bitmaps allow us to perform such calculations in…
Long Articles
These are some of the most-read long-form articles on redis.
How we diagnosed and resolved Redis latency spikes with BPF and other tools
How we uncovered a three-phase cycle involving two distinct saturation points and a simple fix to break that cycle.
Learn redis the hard way (in production)
For our products, like the trivago [hotel search](http://www.trivago.com/), we are using [Redis](http://redis.io/) a lot. The use cases vary: Caching, temporary storage of data before moving those into another storage or a typical database for hotel meta data including persistence. The main parts of the hotel search are built with PHP and the Symfony Framework for the frontend (web) and Java for the backend part. In this article, we will focus on the collaboration between our PHP application and
Publications
We monitor hundreds of publications, blogs, newsletters, and news sources in Redis, including:
Real Python
Online #Python Training & Expert Community: Tutorials, Video Courses, Books, Quizzes...and More! Join 3,000,000 Monthly Readers at http://realpython.com
What is Refind?
Every day Refind picks the most relevant links from around the web for you. Picking only a handful of links means focusing on what’s relevant and useful. We favor timeless pieces—links with long shelf-lives, articles that are still relevant one month, one year, or even ten years from now. These lists of the best resources on any topic are the result of years of careful curation.
How does Refind curate?
It’s a mix of human and algorithmic curation, following a number of steps:
- We monitor 10k+ sources and 1k+ thought leaders on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
- In addition, our users save links from around the web using our Save buttons and our extensions.
- Our algorithm processes 100k+ new links every day and uses external signals to find the most relevant ones, focusing on timeless pieces.
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- Our algorithm uses these internal signals to refine the selection.
- In addition, we have expert curators who manually curate niche topics.
The result: lists of the best and most useful articles on hundreds of topics.
How does Refind detect «timeless» pieces?
We focus on pieces with long shelf-lives—not news. We determine «timelessness» via a number of metrics, for example, the consumption pattern of links over time.
How many sources does Refind monitor?
We monitor 10k+ content sources on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
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