Google Cloud Memorystore
Google Cloud Memorystore is a fully managed in-memory data store service for Redis and Memcached. It provides a scalable, secure, and highly available caching layer that helps accelerate application performance. Memorystore automates complex tasks like provisioning, replication, failover, and patching, enabling developers to focus on building applications without managing infrastructure.
Google Cloud Memorystore publishes 1 API on the APIs.io network: Instances API. Tagged areas include Cache, Google Cloud, In-Memory, Memcached, and Redis.
The Google Cloud Memorystore catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.
Google Cloud Memorystore’s developer surface includes authentication, developer portal, getting-started guide, documentation, pricing, support, and 11 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Google Cloud Memorystore Instances API
Operations on Memorystore Redis instances
Postman Collections 1
Ready-to-run Postman collections for exercising this provider's APIs.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Google Cloud Memorystore for Redis API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Google Cloud Memorystore Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Semantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Spectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
Google Cloud Memorystore API Rules
SPECTRALJSON Schema 1
Standalone JSON Schema definitions for this provider's data models.
Google Cloud Memorystore for Redis Instance
JSON SCHEMASecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes governing access to this provider's APIs.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use