What is Google Cloud Memorystore?
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. Use Cloud Memorystore to build application caches that provides sub-millisecond data access. Cloud Memorystore is compatible with the Redis protocol, allowing easy migration with zero code changes.
Google Cloud Memorystore is a tool in the Redis Hosting category of a tech stack.
Who uses Google Cloud Memorystore?
Companies
32 companies reportedly use Google Cloud Memorystore in their tech stacks, including BlaBlaCar, Ornikar, and resily.
Developers
124 developers on StackShare have stated that they use Google Cloud Memorystore.
Google Cloud Memorystore Integrations
Decisions about Google Cloud Memorystore
Here are some stack decisions, common use cases and reviews by companies and developers who chose Google Cloud Memorystore in their tech stack.
Emanuel Evans
Senior Architect at Rainforest QA · | 20 upvotes · 1.5M views
We recently moved our main applications from Heroku to Kubernetes . The 3 main driving factors behind the switch were scalability (database size limits), security (the inability to set up PostgreSQL instances in private networks), and costs (GCP is cheaper for raw computing resources).
We prefer using managed services, so we are using Google Kubernetes Engine with Google Cloud SQL for PostgreSQL for our PostgreSQL databases and Google Cloud Memorystore for Redis . For our CI/CD pipeline, we are using CircleCI and Google Cloud Build to deploy applications managed with Helm . The new infrastructure is managed with Terraform .
Read the blog post to go more in depth.
Google Cloud Memorystore's Features
- Less DevOps, More Code - Spend more time writing code that takes advantage of the power of Redis and less time managing Redis. Cloud Memorystore automates complex tasks like enabling high availability, failover, patching, and monitoring so that you can spend more time coding.
- Scale as Needed - With Cloud Memorystore for Redis, you can easily achieve the sub-millisecond latency and throughput your applications need. Start with the lowest tier and smallest size, and then grow your Redis instance effortlessly with minimal impact to application availability. Cloud Memorystore can support instances up to 300 GB and network throughput of 12 Gbps.
- Highly Available - High availability instances are replicated across two zones and provide a 99.9% availability SLA (when generally available). Instances are monitored constantly, and with automatic failover, applications experience minimal disruption.
- Google Grade Security - Cloud Memorystore instances are isolated and protected from the internet using private IPs and are further secured using IAM role-based access control.
- Easy Lift and Shift - Cloud Memorystore for Redis is Redis protocol compatible. You can lift and shift your applications from open source Redis to Cloud Memorystore without any code changes. There is no need to learn new tools since all existing tools and client libraries just work.
Google Cloud Memorystore Alternatives & Comparisons
What are some alternatives to Google Cloud Memorystore?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
