Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
Spiceworks
Zabbix
ServiceNow
Freshservice
Nagios
Datadog
Zendesk
ManageEngine ServiceDesk Plus
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.
SpiceworksBased on our record, Redis seems to be a lot more popular than Spiceworks. While we know about 237 links to Redis, we've tracked only 4 mentions of Spiceworks. 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
I never personally ran into the issues with those 2 programs, but just know there was real evidence given that it happened. I don't remember the details. If you want to know bad enough, you can search online and find it. You might find most if not all in discussions at spiceworks.com, but I can't be for certain at the moment. I just took it as a learning experience to sit back and say "hmmm". Source: over 3 years ago
Spiceworks.com has a forum for one man shops, that I follow to learn from those who work at lean staffed workplaces. Source: over 4 years ago
Ive heard https://spiceworks.com is a good resource :). Source: over 4 years ago
You cannot directly target job titles with Google Ads. Outside of search ads you can create a custom intent audience and include keywords/domains that those people would typically use. For example, "spiceworks.com" would generally only include IT people. Source: about 5 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Zabbix - Track, record, alert and visualize performance and availability of IT resources
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
ServiceNow - ServiceNow automates and manages global enterprise service relationships. Create a single system of record for enterprise services, automate manual tasks, consolidate legacy ITIL systems.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Freshservice - Freshservice: the one-stop cloud solution for all your IT management needs.