
Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
CloudCheckr
VMware Tanzu CloudHealth
Cloudability
Amazon CloudWatch
Nutanix Beam
Turbonomic
AWS Budgets
Duo Security
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.
CloudCheckrCloudCheckr is particularly recommended for mid to large-sized enterprises that require detailed insights into their cloud expenditures and usage across multiple accounts and services. It is ideal for teams that need to manage cloud resources efficiently, ensure compliance, and maximize cost savings. IT administrators, financial managers, and security teams may find this tool especially beneficial.
Based on our record, Redis seems to be a lot more popular than CloudCheckr. While we know about 237 links to Redis, we've tracked only 1 mention of CloudCheckr. 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 / 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 / 5 months ago
Depends a bit on what you understand under 'housekeeping' - but what about: Https://cloudcheckr.com/ Https://cloudhealth.vmware.com/solutions/aws-management.html Https://www.gorillastack.com/. Source: over 3 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
VMware Tanzu CloudHealth - CloudHealth is IT service management for the cloud, enabling policy driven cost, utilization, performance and security optimization.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Cloudability - Cloudability lets you monitor, manage and communicate your cloud costs with one easy tool.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.