
Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
Macarons
Donut Slack Bot
Coffee Chat Slack
Catchup Rocks
Snack Slack Bot
Coworker Coffee
Suptask
RandomCoffee
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.
Meet random people from your organization for a coffee with macarons or for a quick video call. ย Get to know your colleagues better and maybe even make new (work) friends.
๐ง Quick and Easy
Just add the Macarons app to a Slack channel and it will automatically pair off random members for (virtual) coffees.
๐ฐ Control the Odds
For each channel you can control how often and when chat lotteries happen, as well as how many people should be matched together.
๐ง Ice Breakers
Let Macarons get conversations started with predefined ice breakers or set your own custom topics for each round.
๐ Take a skip day
Independent of a channels meeting interval, each user can always individually pause their participation or decide to only take part every other time.
MacaronsBased on our record, Redis seems to be a lot more popular than Macarons. While we know about 237 links to Redis, we've tracked only 1 mention of Macarons. 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.
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 / 3 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 / 4 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 / 4 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 / 5 months ago
It took us a few months (I think it was 4) but now we released Macarons. After adding Macarons to the workspace you have to invite it to a channel and then can configure how often people of that channel are matched. Additionally you can specify how big the match groups should be and everyone participating can adjust their participation rate. That's basically it. Since Macarons is not over-boarded with features we... Source: about 4 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Donut Slack Bot - Get matched with a new coffee buddy each week in Slack
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Coffee Chat Slack - Schedule random coffee chats for your team in Slack. Start connecting your team in just a couple of clicks with templates designed just for the needs of remote and hybrid teams.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Catchup Rocks - Virtual coffee / watercooler chats for Slack.