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
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... - Source: Reddit / 2 months 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 / 3 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
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 / 4 months 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. - Source: Reddit / 5 months 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 / 5 months 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 / 7 months 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 / 7 months ago
Memcached sounds like what you could use here. - Source: Reddit / 6 months 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 / 7 months 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 / 8 months ago
Memcached is used as a database-caching layer for request counting and other high-speed operations. - Source: dev.to / 9 months ago
Now that you have a working database set up for your application, its time to set up a functional cache instance using Amazon ElastiCache. Amazon ElastiCache is a service similar to Amazon RDS, but it lets you run in-memory database servers, such as memcached or Redis, managed by AWS. Before creating a new Amazon ElastiCache instance, you'll have to create a new security group. - Source: dev.to / 9 months ago
Since 2008, I have been an official Debian Developer and the Debian Project Leader from 2017—2019. I have submitted over 4,000 bugs to the project, been part of several core teams and have released over 250 security updates as well (as part of the Debian Long Term Support initiative). Today, I am the release manager of the Lintian static analysis tool but I also maintain a number of popular packages such as Redis,... - Source: Reddit / about 1 year ago
Laravel provides a simple yet powerful API for interacting with the cache. By default, Laravel supports caching using Redis, Memcached, DynamoDB, databases, files, and arrays. - Source: dev.to / about 1 year ago
In-process caching may be implemented in a Node.js application through libraries, such as node-cache, memory-cache, api-cache, and others. There is a wide variety of distributed caching solutions, but the most popular ones are Redis and Memcached. They are both in-memory key-value stores and optimal for read-heavy workloads or compute-intensive workloads due to their use of memory rather than the slower on-disk... - Source: dev.to / about 1 year ago
It's 2021 and we have extremely fast key-value lookups using LevelDB/RocksDB, but we're still using RAM-based caching tools [1] [2] [3]. It's time to consider RAM-based caching harmful, and start caching with SSDs for larger datasets and lower costs. For ex: SSDB [4] [1] https://redis.io/ [2] https://memcached.org/ [3] https://news.ycombinator.com/item?id=29532552 [4] https://github.com/ideawu/ssdb#ssdb-vs-redis. - Source: Hacker News / over 1 year ago
A relatively straightforward way to implement caching in a Node.js application is through an in-process caching solution such as node-cache. It involves placing actively used data in memory, where it can be retrieved more quickly. The major problem with an in-process cache is that it's tied to an application process, so it's rarely suitable for distributed workflows (especially when caching mutable objects). In... - Source: dev.to / over 1 year ago
Since 2008 I have been an official Debian Developer and even the Debian Project Leader from 2017—2019. I have submitted over 4,000 bugs to the project, been part of several core teams and have released over 250 security updates as well (as part of the Debian Long Term Support initiative). Today, I am the release manager of the Lintian static analysis tool but I also maintain a number of popular packages such as... - Source: Reddit / over 1 year ago
As you'll have probably noticed in the Laravel documentation and in your project's config, Laravel supports a few different drivers for caching, including: Redis, DynamoDB, Memcached and the database. So, for example, if we were to set our cache driver in our .env file to CACHE_DRIVER=redis, when we run our code snippet above, the data would be stored in our Redis cache. However, if we were to change the driver to... - Source: dev.to / almost 2 years ago
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