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Memcached | Varnish | |
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55 | 17 | |
13,178 | 21 | |
1.0% | - | |
8.5 | 6.8 | |
4 days ago | 25 days ago | |
C | CSS | |
BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Memcached
- Redis Re-Implemented with SQLite
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Best engineering interview question I've gotten
> Multiple clients racing can't be fixed.
Really? You can't think of a single way for multiple clients to operate on the same data without racing? (Here's a hint if you're still having trouble: https://github.com/memcached/memcached/wiki/Commands#cas.)
- Memcached 1.6.25 Release Notes
- Memcached 1.6.24 Release Notes
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How to choose the right type of database
Memcached: A simple, open-source, distributed memory object caching system primarily used for caching strings. Best suited for lightweight, non-persistent caching needs.
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Sieve is simpler than LRU
Oh, thank you! I didn't realize that LRU Maintainer Thread was more than an expiration reaper. When it was first being introduced that was its first responsibility as lazy expiration removal by size eviction meant dead entries wasted capacity. It was all work in progress when I had read about it [1] and talked to dormando, so it got fuzzy. The compat code [2, 3] might have also thrown me off if I only looked at the setting and not the usage. Its a neat variant to all of these ideas.
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A Developer's Journal: Simplifying the Twelve-Factor App
stores session state in a session store like Memcached or Redis.
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In-memory database Redis wants to dabble in disk
memcached has recently gained the ability to spill to disk: https://github.com/memcached/memcached/wiki/Extstore
we recently implemented this to grow our caches to >50TB
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Django Caching 101: Understanding the Basics and Beyond
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.
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Node.js server-side authentication: Tokens vs. JWT
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.
Varnish
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Varnish Cache
Varnish Cache is a tool that provides a caching HTTP reverse proxy in order to accelerate your web applications. Once Varnish Cache is installed in front of any server that understands HTTP and configured to cache the contents, delivery speeds are typically enhanced by a factor of 300-1000x, depending on architecture. Kilobyte22 finds this tool along with HAProxy to be a winning combo.
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Leveraging Cache to improve Web Performance
In this case, caching mechanism is situated in the proxy server or reverse proxy server like Nginx, Apache, or Varnish, and most probably it is a part of ISP (Internet Service Provider).
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Beyond Changing Technology: Scaling Your Applications Efficiently
To handle this level of traffic, you can use tools such as Varnish HTTP Cache, which caches the information of a news article starting from the first user who accesses and makes the request. Once Varnish caches the page, subsequent users will receive a response that is saved in memory. This process allows you to avoid unnecessary synchronous requests and send a quick response to users.
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Web resource caching: Server-side
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.
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jwz: Mastodon stampede
VARNISH
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Microfrontends: Microservices for the Frontend
Edge Side Includes (ESI): a more modern alternative to SSI. ESI can handle variables, have conditionals, and supports better error handling. ESI is supported by caching HTTP servers such as Varnish.
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I NEED YOUR HELP WITH MY INTERNSHIP PROJECT
For this objective, I am looking for willing volunteers to run through two phases of test deployments. These phases will each involve creating a scalable Varnish Cache cluster on Azure Kubernetes Service and answering a few questions about your experience. The deployments should take a total of around 30 min (or less) and will require the creation of a very minimal Kubernetes cluster. For some more information on Varnish Cache check out: https://varnish-cache.org/
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Regarding how Big companies set up their databases
For reads, caches are the primary tool, such as Varnish or memcached.
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NGINX + Laravel way too slow when serving static files - Can you point me in the right direction?
Others have pointed out some very valid issues. A quick hack, try using Varnish Cache (https://varnish-cache.org/), you can really accelerate the static content delivery.
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Leveraging Cache in Nuxt.js
In this case, caching mechanism is situated in the proxy server or reverse proxy server like Nginx, Apache, or Varnish, and most probably it is a part of ISP (Internet Service Provider).
What are some alternatives?
node-cache - A simple in-memory cache for nodejs
envoy - Cloud-native high-performance edge/middle/service proxy
dragonfly - A modern replacement for Redis and Memcached
Squid - Squid Web Proxy Cache
node-cache - a node internal (in-memory) caching module
Caddy - Fast and extensible multi-platform HTTP/1-2-3 web server with automatic HTTPS
KeyDB - A Multithreaded Fork of Redis
bucket4j - Java rate limiting library based on token-bucket algorithm.
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
HAProxy - HAProxy documentation
SSDB - SSDB - A fast NoSQL database, an alternative to Redis
Lighttpd - lighttpd2 on github for easier collaboration - main repo still on lighttpd.net