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import { Redis } from '@upstash/redis' const redis = new Redis({ url: 'https://obi-wan-kenobi-31346.upstash.io', token: 'TOKEN', }) const data = await redis.set('foo', 'bar');// Producer import { Kafka } from "@upstash/kafka" const kafka = new Kafka({ url: "https://dart-vader-9500-eu1-rest-kafka.upstash.io", username: "USERNAME", password: "PASSWORD", }) const p = kafka.producer() const res = awai
こんにちは。初投稿です。 2012年新卒入社の竹内です。入社当時を振り返るとOracle10g,11gを良く利用していおり、データモデリングなどテーブル設計が好きで、2018年4月ぐらいまでRDBとバッチに浸ってました。 さて、現在プロジェクトでRedisを使っているのですが、いままでRDB人間だっただけにKVSやRedisならではの特徴に四苦八苦してます。 苦しんだ分、色々な知見を得ることができているので、その内容をご紹介します! 対象者 Redisの業務システム導入を検討している方 RDBとRedisの違いを知りたい方 現場的なRedisの利用方法を知りたい方 書いてないこと データ型やコマンドなど、HelloWorld的に公式ドキュメントを見て得られる情報 インストールなど、Redisを利用できるまでの手順 フェイルオーバーやバックアップをはじめとする運用に関する内容 データ永続化に
A web interface for managing redis: cli, admin, and live monitoring Download .zip Download .tar.gz View on GitHub Simple sinatra based dashbord for redis. After seeing the fnordmetric project I was inspired to write this. Some of the ideas there have be carried over here. Watch your redis server live. Interact with redis using a familiar cli interface. Dynamically update your server configuration.
At Fluence, we use WebAssembly (Wasm) to run applications in a trustless network of independent nodes. This trustless environment mandates that every piece of the code executed by any network node must be verified by another node to check whether the execution was performed correctly. In order to be verifiable, every computation must be made deterministic, which means that to run WebAssembly code
This Case Study is a guest post written by Antoni Orfin, Co-Founder and Software Architect at Octivi. Want your company featured on the official Symfony blog? Send a proposal or case study to fabien.potencier@sensiolabs.com For most people, using full-stack frameworks equals slowing down websites. At Octivi, we think that it depends on correctly choosing the right tools for specific projects. When
# Create a new session and store it as a JSON document > JSON.SET session:12345 . ‘{“user_id”: 1001, “login_time”: “2024-02-27T10:00:00Z”, “data”: {“last_page_visited”: “/home”, “preferences”: {“theme”: “dark”}}}’ “OK” # Fetch the entire session > JSON.GET session:12345 “{\”user_id\”:1001,\”login_time\”:\”2024-02-27T10:00:00Z\”,\”data\”:{\”last_page_visited\”:\”/home\”,\”preferences\”:{\”theme\”:\
After reading Salvatore’s Redis Presharding, I thought I’d write up the sharding technique we use at Craigslist to take advantage of multiple cores, multiple hosts, and allow for painless growth (up to a point). Nodes The primary building block of our Redis infrastructure is a node, which is simply a host:port pair that points to a single redis-server instance. Each node is given a symbolic node n
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