MockServer
Beeceptor
Request inspector
HttpMaster
Webhook.site
Hoppscotch
API Fortress
CurlHub.io
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.
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Based on our record, Redis seems to be a lot more popular than MockServer. While we know about 237 links to Redis, we've tracked only 4 mentions of MockServer. 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.
There are several strategies to solve this kind of challenge, but today we will see MockServer as a tool to resolve it. - Source: dev.to / over 1 year ago
The open-source examples are mockoon, mock-server.com, etc. Source: about 3 years ago
I've just found out MockServer and it looks awesome ๐คฉ so I wanted to check it out repeating the steps of my previous demo WireMock Testing which (as you can expect) uses WireMock, another fantastic tool to mock APIs. - Source: dev.to / about 4 years ago
I tend to use MockServer. With MockServer you can define inputs, so you can say that the request should look like this with that URL, etc etc. That way you can verify that the request looks okay. Source: over 4 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 / 2 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
Beeceptor - Unblock yourself from API dependencies, and build & integrate with APIs fast. Beeceptor helps you build a mock Rest API in a few seconds.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Request inspector - Debug web hooks, http clients
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
HttpMaster - HttpMaster is a professional software tool for testing and debugging HTTP applications, primarily aimed at REST API applications and web services.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.