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AWS MemoryDB for Redis

Collaborative Infrastructure as Design: Collaboratively manage infrastructure with your coworkers synchronously sharing the same designs.

Aws Memorydb Controller

Aws Memorydb Controller

Registrant:
GitHub
Components:
10
Relationships:
9
Category:
Provisioning
Subcategory:
Database

How to Import This Model

Want to use this model in your Meshery instance? Learn how to import it using either the Meshery CLI or UI.

View Import Instructions →

Key Features

  • Amazon MemoryDB for Redis enables machine learning (ML) and generative artificial intelligence (AI) models to work with data stored in Amazon MemoryDB in real-time and without moving your data.
  • Amazon MemoryDB provides native support for JavaScript Object Notation (JSON) documents in addition to the data structures included in open source Redis, at no additional cost.
  • MemoryDB stores your entire dataset in memory to deliver microsecond read latency, single-digit millisecond write latency, and high throughput. It can handle more than 13 trillion requests per day and support peaks of 160 million requests per second.

Components

cluster

cluster

snapshot

snapshot

subnet-group

subnet-group

user

user

parameter-group

parameter-group

acl

acl

field-export

field-export

adopted-resource

adopted-resource

multi-region-cluster

multi-region-cluster

iam-role-selector

iam-role-selector

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