Starting with the first alpha release - 2.0.0alpha1 -, Starlite includes a simple Event bus that can be used to emit and receive events, supporting both synchronous And asynchronous listeners. Currently only a basic in-memory, per-process backend is Included, but future versions will add support for inter-process communication by Adding backends for Redis, RabbitMQ and Others. - Source: Reddit / 6 days ago
In this article, we used a postgres database to store users’ data. We created endpoints using Gorilla Mux, and on top of those endpoints, we integrated Redis caching into the API response from a React application. Remember that Redis is a powerful tool and what we covered is just the tip of the iceberg. For more information, consider reading the docs at redis.io. You can also follow along with this article by... - Source: dev.to / 24 days ago
However, running and validating these HTTP servers can be a time-consuming and challenging task for instructors, especially as the number of students increases. To address this problem, an web application was developed which can accept Docker images created by students, run the image, provide environment variables for database connections and perform a set of HTTP requests to validate the implementation. This... - Source: dev.to / about 1 month ago
OpenTalk is a young project for creating online meeting software similar to Jitsi or BigBlueButton. It is a completely new development, and while it is not a fork of an existing open-source project, it integrates with other projects such as the Janus WebRTC server, Redis for volatile state, RabbitMQ for communication between server instances, and PostreSQL for persistent state. - Source: Reddit / about 1 month ago
I'm intending to use Spring Batch for this service paired with a Redis db. - Source: dev.to / about 2 months ago
Fragment caching removes the call to our Postgres database and reduces the time taken to compute a view in favor of storing the “fragment” in a memory cache (like Redis) as key-value objects. The key is provided within the Rails application and the fragment is stored as its value. - Source: dev.to / about 2 months ago
Database reads are expensive and slow. There's a multitude of other reasons why caching is essential, but for the project I'm working on I'm using supabase and their free tier supports only a limited amount of bandwidth. To avoid any rate-limiting I added a Redis layer in front of it to reduce the number of queries that hit the database directly. - Source: dev.to / about 2 months ago
The AWS Lambda function had been written in Java and therefore the team looked at different Java-based Redis drivers and eventually decided to use Jedis, a Java client for Redis designed for performance and ease of use. One of the reasons they chose to use Jedis was that it proved to be a lightweight library. Instantiating the client connection takes somewhere between 200-600ms (depending on the lambda memory... - Source: dev.to / about 2 months ago
Caching - while it's not possible to cache everything, there's always a large percentage of your website / app that can be cached for an hour or ten minutes or 1 day etc... - all depends on the type of content but the longer you can cache for without negatively effecting content quality - the better. A good caching server example would be redis : https://redis.io/ or https://memcached.org/. - Source: dev.to / about 2 months ago
The code uses the codehooks-js library to handle routing and middleware for the API, and the node-fetch library to make HTTP requests to the OpenAI API. The code also uses the built-in codehooks.io Key-Value store to cache the response from the OpenAI API for 60 seconds, in order to reduce the number of requests made to the OpenAI API (If you want to create your own Node.js Express backend, you just need to... - Source: dev.to / 2 months ago
Redis is an in-memory database and an open-source streaming engine with an IMDB data structure server that supports multiple data sets and data streams. This open-source platform has high throughputs and lower bandwidth due to its in-memory features that lead to faster processing of big data in data science applications. - Source: dev.to / 3 months ago
Quirrel is a popular open-source webhook framework that makes it easy to add webhook support to your app. It makes uses of redis under the hood. - Source: dev.to / 3 months ago
Redis is an in-memory data store that you can use as a database – or a cache in front of your regular database. The speed of Redis makes it ideal to cache database queries, complex computations, API calls, and session state. - Source: dev.to / 3 months ago
I didn't finish college and I didn't see anything about Databases when I was there, so I don't have any theoretical background and on these 4 years coding at enterprise level my focus was totally in things like: Clean Code, SOLID, Design Patterns and other stuff code related and my only Database knowledge was about SQL/MySQL and Cache/Redis. - Source: dev.to / 3 months ago
For the course I started to collect Open Source projects developed by corporations. There are a few where the product is open source such as Redis and Elastic. There are others where the company shares some of its code as open source such as Netflix, Facebook, or Booking.com. - Source: dev.to / 3 months ago
The answer is yes. Introducing Redis, an open source database, in-memory, key-value data store and it is most-loved database by developers for five years running. Redis is commonly used as a primary database, cache, queue, and message broker. Redis is an open source (BSD licensed) that is used primarily as an application cache and quick response database and because the data is stored in memory rather than on a... - Source: dev.to / 3 months ago
Heroku Data for Redis is a Redis key-value datastore that is fully managed for you by Heroku. That means that Heroku takes care of things like security, backups, and maintenance. All you need to do is use it. Because Heroku is part of Salesforce, this makes access and security much easier. The Heroku Dev Center documentation is an excellent place to find more details on Heroku Data for Redis. - Source: dev.to / 3 months ago
To get things running a bit quicker, he persisted all the data for the tests in the database but was still looking to shortcut the endless send/retrieve in Elasticsearch. So why not Redis? 20 lines of code and 1 cached index later, he saw a 20% improvement in runtime on the large test dataset—a perfect productivity hack! Correr, Dora, Correr! - Source: dev.to / 3 months ago
// routes/index.tsx // ... Export default function Home(props: PageProps) { const isAllowed = !!props.data.user; return (
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- Source: dev.to / 4 months ago
Note this is all being stored in memory on the server, if we were wanting to scale this up we may want to add an adapter for a dedicated data store like redis which we’ll do in later parts of this series. - Source: dev.to / 4 months ago
A couple of dedicated server-side resource caching solutions have emerged over the years: Memcached, Varnish, Squid, etc. Other solutions are less focused on web resource caching and more generic, e.g., Redis or Hazelcast. - Source: dev.to / 4 months ago
Do you know an article comparing Redis to other products?
Suggest a link to a post with product alternatives.