Documentazione di Memorystore for Redis
Memorystore per Redis è un servizio Redis completamente gestito per Google Cloud. Le applicazioni in esecuzione su Google Cloud possono raggiungere prestazioni elevate utilizzando il servizio Redis, estremamente sicuro, disponibile e scalabile, senza il carico di dover gestire complessi deployment Redis.
Memorystore for Redis è basato su ed è compatibile con le versioni open source Redis 7.2 e precedenti e supporta un sottoinsieme della libreria di comandi Redis totale.
Non sai quale opzione di database è adatta a te? Scopri di più sui nostri servizi di database.
Scopri di più su Memorystore for Redis.Avvia il tuo prossimo progetto con 300 $di credito gratuito
Crea e testa una proof of concept con i crediti della prova gratuita e l'utilizzo mensile gratuito di oltre 20 prodotti.
Risorse di documentazione
Guide
-
Guida rapida: crea un'istanza Memorystore for Redis utilizzando gcloud CLI
-
Guida rapida: crea un'istanza Memorystore for Redis utilizzando la console Google Cloud
-
Panoramica di Memorystore for Redis
-
Connettiti a un'istanza Redis
-
Creare e gestire istanze Redis
-
Monitora le istanze Redis
-
Configurare un'istanza Redis
-
Esportare i dati da un'istanza Redis
-
Scala le istanze Redis
-
Video correlati
New Way Now: Causal helps businesses put finance on autopilot with Google Cloud and AI
*Featured in this video:* João Monteiro, software engineer at Causal *Executive summary:* Causal's mission is to simplify financial planning for startups. To achieve this, the finance platform sought assistance in boosting performance and maximizing
What’s new with Memorystore: How Redis provides speed, reliability, ease of use, and lower costs
Learn what’s new with Memorystore, including a deep dive into its latest generative AI launches and integrations. Dig into the latest Google Cloud Next launch announcements and how top customers are leveraging Memorystore for Redis Cluster for its
Delivering win after win: How Bandai Namco launches games on Google Cloud
Launching a game is hard, but the pressure intensifies when your players are also fans of beloved franchises, such as Dragon Ball, Tekken, and My Hero. Delivering a perfect experience from day one requires a robust and scalable cloud infrastructure.
HBase to Cloud Bigtable Migrations
Learn more about Memorystore → https://goo.gle/3wEmFsO Cloud Memorystore is a fully managed cache offering from Google Cloud where users can deploy a managed Redis or Memcachced instance with the single click of a button. You can deploy Memorystore
Migrating App Engine memcache to Cloud Memorystore (Module 13)
Serverless Migration Station is a Serverless Expeditions mini-series, a set of videos focused on helping developers modernize their applications running on a Google Cloud serverless compute platform. In this Module 13 and second video focused on App
Speed up your API on Cloud Run with Memorystore caching
Memorystore Quickstart → https://goo.gle/3fMovhe Code used in this episode → https://goo.gle/34oq27W Is your mobile app or web app having performance issues? Are your users reporting that it is running slow? In this episode of Serverless Expeditions
Worried About Application Performance? Cache It! (Next '19 Rewind)
In-memory caching is a common architectural pattern used to speed up application performance. As easy as it sounds, storing and accessing data from in-memory stores have challenges. How do you size your cache for the optimal cache-hit ratio? What
Worried About Application Performance? Cache It! (Cloud Next '19)
In-memory caching is a common architectural pattern used to speed up application performance. As easy as it sounds, storing and accessing data from in-memory stores have challenges. How do you size your cache for the optimal cache-hit ratio? What
Large-Scale Multiplayer Gaming on Kubernetes (Cloud Next '19)
The infrastructure for global-scale, real-time multiplayer games is difficult to develop and maintain. Building matchmaking platforms, dedicated game-server orchestration, and all the coordination therein is a lot of work to do — and can be a
Cloud MemoryStore for Redis and OpenCensus
Caching is an important part of most production applications. In this demo, we’ll see how an application that uses Cloud Memorystore for Redis for caching can build in end to end observability using OpenCensus. Learn more about OpenCensus →
Get Started with Cloud Memorystore for Redis
Cloud Memorystore for Redis provides a fully managed in-memory data store service built on scalable, more secure, and highly available infrastructure managed by Google. In this video, Cloud Memorystore Product Manager, Gopal Ashok will explain how to
Caching Made Easy, with Cloud Memorystore (Cloud Next '18)
Cloud Memorystore introduces a managed redis and memcache service on Google Cloud. In this session, we will walk you through the new service features. The session will also show how you can easily migrate applications using redis to Cloud Memorystore
Cloud OnAir: Getting started with Redis on Google Cloud Platform
In-memory caching is gaining more and more popularity as industries demand submillisecond data access in a variety of applications like gaming leaderboards, social media networks and digital advertising. Redis, one of the most popular open source