
Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
HackerRank
LeetCode
Codility
CodeSignal
iMocha
HackerEarth
Codewars
Coderbyte
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.
HackerRankHackerRank is recommended for students, individual learners, and job seekers looking to improve their coding skills, as well as for companies seeking an efficient way to evaluate candidates' technical abilities during the hiring process.
Based on our record, Redis should be more popular than HackerRank. It has been mentiond 237 times since March 2021. 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 / about 2 months ago
Adding caching layers using services like Redis cache,. - Source: dev.to / about 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 / 2 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
This way, you transfer what you already know (problem-solving) but only change the syntax. Platforms like Hackerrank are also great to solve the same problem in different languages and learn from other peopleโs solutions. - Source: dev.to / 10 months ago
Firstly, solve some common data structure problems with it. Implement some data structures like arrays, linked lists, stacks, queues, etc. You can check common problems on LeetCode, Hackerank or some other resources. - Source: dev.to / about 2 years ago
I don't have a consecutive internet connection and I can't keep up learning process so I started practicing in hackerrank.com I have started some challenges in python and c++ there. Thus I have no internet connection so I cannot practice if anyone know any alternative that works like Working: Gives a challange User sumbits code and it test into testcases. Source: over 2 years ago
An effective way to improve your JavaScript skills is working through coding challenges and exercises. Sites like ReviewNPrep, FreeCodeCamp, and HackerRank have tons of challenges that allow you to practice JavaScript concepts by building mini-projects and solving problems. These hands-on challenges force you to apply what you learn. Source: over 2 years ago
I'm 18M Indian. Growing up I've always been a daydreamer, if you may. Since 8th grade - I'm fascinated by programming. And I'm good at it too. But I'm not cocky too. I wouldn't say I'm at an advanced level, but I can most probably solve any problem - in time - with my skills. I also keep my skills brushed by solving problems on Hacker Rank (every day or alternate days) and try my best to contribute on... Source: almost 3 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
LeetCode - Practice and level up your development skills and prepare for technical interviews.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Codility - Codility provides a SaaS platform with advanced validation, security and protection features to evaluate the skills of software engineers.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
CodeSignal - CodeSignal is the leading assessment platform for technical hiring.