Google Cloud Memorystore; An Introduction

 

Cloud Memorystore for Redis is a fully managed redis service for the Google Cloud Platform. Applications running on Google Cloud Platform can achieve extreme performance performance by leveraging the highly scalabl, available, secure Redis service without the burden of managing complex Redis deployments.

The Cloud Memorystore for Redis is a fully managed Redis service for the Google Cloud. Applications running on Google Cloud can achieve extreme performance by leveraging the highly scalable, available, secure Redis service without the burden of managing complex Redis deployments.

Benefits:

1. Focus on building great apps: Memorystore automates complex tasks for open source Redis and Memcached like enabling high availability, failover, patching, and monitoring so you can spend.

2. Scale as needed: Scale as your application grows. You can scale reads to over a million QPS with Redis 6 and Read Replicas.

3. Highly available: Memorystore for Redis standard tier instances supports up to five read replicas which re replicated across zones and provide a 99.9% availability SLA, resulting in minimal disruption of applications.

Key Features:

1. Choice of engines: Choose from the two most popular open source caching engines to build your applications. Memorystore supports both Redis and Memcached and is fully protocol compatible. Choose the right engine that fits your cost and availability requirements.

2. Security: Memorystore is protected from the internet using VPC networks and private IP and comes with IAM integration - all designed to protect your data. Systems are monitored 24/7/365, ensuring your applications and data are protected.
3. Fully managed: Provisioning, replication, failover, and patching are all automated, which drastically reduces the time you spend doing DevOps.
4. Highly scalable: Memorystore for Redis Read Replicas along with Redis 6 allow applications to scale read requests to more than a million QPS. Memorystore for Redis and Memcached enable scaling on-demand with minimal downtime making it easy to rightsize your instances based on application demand.

5. Monitoring: Monitor your instance and set up custom alerts with Cloud Monitoring. You can also integrate with OpenCensus to get more insights to client-side metrics.

6. Migration: Memorystore is compatible with open source protocol which makes it easy to switch your applications with no code changes. You can leverage the import/export feature to migrate your Redis and Memcached instance to Google Cloud.

Google Cloud Memorystore Updates

Recently, Google announced a few updates for its Cloud MemoryStore, a fully-managed in-memory store compatible with open-source Redis. These updates are generally available (GA) Read Replicas, RDB (Redis database) snapshots in preview, and the launch of the flushless update for basic tier instances.

Earlier, Google previewed Memorystore for Redis Read Replicas, allowing users to seamlessly scale their application's read requests six times. Now with the generally availability and Redis 6, users can achieve more than 10x improvement in read performance compared to standard tier instances on lower versions. Furthermore, the company added more capabilities to the GA release with:

1. support for enabling read replicas on existing standard tier instances.

2. support for enabling read replicas for M5 capacity tier instances.

3. and manual failover API support for read replica enabled instances.

With read replicas, users can quickly add up to five read replicas and use the read endpoint to automatically load balance read queries across all available replicas, increasing read performance linearly with each replica added. Furthermore, Memorystore's support for Redis 6 introduced multi-thread I/O, significantly increasing performance for MB and higher configurations. As a result, users can achieve read requests at more than a million per second when they combine the two. Read replicas can be configured on an existing instance by clicking enable in the instance details page.


In addition, to read replicas, Google also announced the launch of the RDB (Redis database) snapshot in preview for their customers. With the RDB Snapshot feature, the service will automatically take snapshots at predefined intervals and recover from them as needed. These steps are fully automated and can be enabled.

Lastly, Google launched the flushless update for basic tier instances, preventing a full cache flush by doing a rolling upgrade of the instance - critical in scenarios like planned maintenance or scaling the size of an instance. The application behaviour experienced by basic tier instances for these scenarios will be similar to what users will experience with a standard tier instance.

Comments

Post a Comment

Popular posts from this blog

The Morph Concept in 2025: From Vision to Emerging Reality

Image
Introduction In the ever-evolving world of consumer electronics and material science, 2025 stands at a pivotal moment. Once just a conceptual showcase of possibility, “The Morph Concept” has matured from a futuristic dream into an emerging design philosophy driving innovation in mobile devices, wearables, and even sustainable tech. First introduced in 2008 by Nokia in partnership with the University of Cambridge, the Morph Concept presented a bold vision: a device that could bend, stretch, clean itself, sense the environment, and even power itself through solar energy. As of 2025, this concept is no longer just theoretical. Recent advances in nanotechnology, smart materials, AI, and flexible electronics have begun to bring Morph’s foundational principles into functional prototypes, real products, and smart environments. This essay explores the Morph Concept as it exists in 2025—its current technological status, applications, research developments, and the road ahead. --- I....
Read more

Mortgage Train 2025

Image
The Mortgage Train 2025: A Symbol of Economic Mobility on Rails Introduction In the face of rising living costs, complex housing markets, and increasingly digital economies, innovative solutions are emerging to address the socio-economic challenges of the modern era. Among them stands a bold and visionary concept: the Mortgage Train 2025. Designed and launched as a hybrid between transportation, financial literacy, and real estate education, the Mortgage Train 2025 is a pioneering mobile platform that redefines both the literal and symbolic meanings of “mobility.” Built to serve the public across cities and rural regions alike, this train isn’t just a vehicle—it’s a financial awakening on wheels. Concept and Philosophy The idea behind Mortgage Train 2025 is simple, yet revolutionary: bring housing knowledge, mortgage access, and advisory services directly to the people—via a custom-designed train that physically moves between communities. In a world where many are intimidat...
Read more

Web Train 2025: Locomotives

Image
Web Train 2025 – The Digital Locomotive You Built Introduction In an era defined by instantaneous connectivity and ever-evolving digital landscapes, the Web Train 2025 emerges as your groundbreaking creation—a virtual “train” that transports users, data, and services across the online world with the speed, reliability, and communal spirit of a classic locomotive. More than a mere network framework, Web Train 2025 is a holistic platform: part content-delivery system, part social ecosystem, part developer’s sandbox. This essay will explore its origins, architecture, features, societal impact, challenges, and future evolution. Genesis of the Idea The concept for Web Train 2025 originated in 2023, when you observed three converging trends: Fragmentation of Online Services – Users bounced between dozens of apps and sites to consume content, collaborate, shop, and learn. Growing Demand for Edge Computing – Low-latency experiences demanded smarter routing and distribut...
Read more