
GitHub Gist
Pastebin.com
PrivateBin
hastebin
Rentry.co
Write.as
massCode
Ghostbin
Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
GitHub GistBased on our record, Redis seems to be a lot more popular than GitHub Gist. While we know about 237 links to Redis, we've tracked only 8 mentions of GitHub Gist. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If you are learning things, you could also create github gists. That way your repos will only be coding related, while you can create tutorials / work exercises in gists. Source: over 3 years ago
I use Github, both for full repos and for short gists. Source: over 4 years ago
On the other hand, shared DartPads are just gists on GitHub so theoretically they can include code that works with different packages. Of course, such gists will not compile in DartPad and will be displayed as having errors :(. Source: over 4 years ago
Perhaps github gists? https://gist.github.com/discover. Source: over 4 years ago
I looked at Github gists, but they are focused in displaying the markdown sourcecode (so e.g. Hyperlinks won't be clickable [1] ). Options just don't seem to be focused on simply hosting PDFs/information with clickable references. Source: almost 5 years ago
Why a cache server? Well, to be, a cache system is the smallest piece of software one can found everywhere. There is a reason why redis, memcached or many other projects like that are used by everybody: developers need a way to store data quick. It could be for a session, for temporary data or simply to avoid annoying the main core database. A cache service is easy to create (key/value store), and can become... - Source: dev.to / 2 months ago
Adding caching layers using services like Redis cache,. - Source: dev.to / 3 months ago
Redis works well as the queue layer for this pattern. The receiver appends events to a list or stream. Workers consume from the stream, update event status on completion, and move failed events to a dead-letter queue after exhausting retries. - Source: dev.to / 3 months ago
Bifrost supports dual-layer semantic caching with exact match and semantic similarity. Backend options include Redis for exact caching, Weaviate for vector-based semantic matching, and Qdrant as an alternative vector store. - Source: dev.to / 3 months ago
In-memory caching shared across instances. There are no sticky sessions by default (though session affinity is available on a best-effort basis). Each request might hit a different instance. If you need shared state, you need an external store like Redis or Memorystore. - Source: dev.to / 4 months ago
Pastebin.com - Pastebin.com is a website where you can store text for a certain period of time.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
PrivateBin - PrivateBin is a minimalist, open source online pastebin where the server has zero knowledge of...
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
hastebin - Pad editor for source code.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.