The app depends on several packages to run, so I need to install them locally too. I used a combination of brew and orbstack / docker for installing packages. Some dependencies for this project are redis, mongodb and memcache.

– Source: dev.to
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27 days ago

Memcached — High-performance distributed memory object caching system.

– Source: dev.to
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2 months ago

One of the most effective ways to improve the application’s performance is caching regularly accessed data. There are two leading key-value stores: Memcached and Redis. I prefer using Memcached Cloud add-on for caching because it was originally intended for it and is easier to set up, and using Redis only for background jobs.

– Source: dev.to
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4 months ago

Distributed caching

Consistent hashing is a popular technique for distributed caching systems like Memcached and Dynamo. In these systems, the caches are distributed across many servers. When a cache miss occurs, consistent hashing is used to determine which server contains the required data. This allows the overall cache to scale to handle more requests.

– Source: dev.to
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5 months ago

Memcached: A simple, open-source, distributed memory object caching system primarily used for caching strings. Best suited for lightweight, non-persistent caching needs.

– Source: dev.to
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7 months ago

Stores session state in a session store like Memcached or Redis.

– Source: dev.to
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10 months ago

Django supports using Memcached as a cache backend. Memcached is a high-performance, distributed memory caching system that can be used to store cached data across multiple servers.

– Source: dev.to
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about 1 year ago

In server-side authentication, the session state is stored on the server-side, which can be scaled horizontally across multiple servers using tools like Redis or Memcached.

– Source: dev.to
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about 1 year ago

The main components are sharding and caching. The storage is done with MySQL. The cache is done by memcached.

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over 1 year 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
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over 1 year ago

If you really care about optimising this, you need, as other traders pointed out, a cache. Caches are a way of ensuring that the data you query stays in memory on a separate machine so you don’t have the delay to disk & to commit. Things like memcached are created for this exact purpose. If you care about optimisation, look into it and other options. This is not a simple problem. Distributed systems like these are…

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over 1 year ago

There are several alternatives to Redis that are worth considering, depending on your specific needs and requirements. Some popular options include Memcached, which is another in-memory data store that is often used for caching, and Apache Cassandra, which is a distributed NoSQL database that is designed for scalability and high availability.

– Source: dev.to
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almost 2 years 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
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almost 2 years ago

Now that we know what to cache and the techniques Rails provides to store things in the cache, the next logical question is — where do we cache this data? Rails comes with several in-built cache store adapters. The most popular cache stores for production use cases are Redis and Memcached. There are a couple of other options as well — the file store and memory store. A full discussion of these stores can be found…

– Source: dev.to
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almost 2 years ago

We have an all new Session middleware
With support for client- and server-side sessions, including backends for redis,
Memcached, file system and SQLAlchemy.

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almost 2 years ago

Most of our refactoring was simple: making hard-coded values configurable, or turning certain features on or off depending on environment.

Sending email through SES meant specifying an SMTP hostname and credentials, and in some cases upgrading email delivery to use TLS for improved security.

We introduced Memcached to cache database query results and server-side rendered views.

– Source: dev.to
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almost 2 years ago

Now, let’s talk about caching. As per our estimations, we will require around ~35 GB of memory per day to cache 20% of the incoming requests to our services. For this use case, we can use Redis or Memcached servers alongside our API server.

– Source: dev.to
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about 2 years ago

This will give us the last time the user was active. This functionality will be handled by the presence service combined with Redis or Memcached as our cache.

– Source: dev.to
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about 2 years ago

Memcached sounds like what you could use here.

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about 2 years ago

In a location services-based platform, caching is important. We have to be able to cache the recent locations of the customers and drivers for fast retrieval. We can use solutions like Redis or Memcached but what kind of cache eviction policy would best fit our needs?

– Source: dev.to
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about 2 years ago

To set it up, you just need to first install Memcached on the local machine, and then install a Python Memcached binding supported by Django. The two supported by Django are pylibmc and pymemcache.

– Source: dev.to
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about 2 years ago