multicloud365
  • Home
  • Cloud Architecture
    • OCI
    • GCP
    • Azure
    • AWS
    • IAC
    • Cloud Networking
    • Cloud Trends and Innovations
    • Cloud Security
    • Cloud Platforms
  • Data Management
  • DevOps and Automation
    • Tutorials and How-Tos
  • Case Studies and Industry Insights
    • AI and Machine Learning in the Cloud
No Result
View All Result
  • Home
  • Cloud Architecture
    • OCI
    • GCP
    • Azure
    • AWS
    • IAC
    • Cloud Networking
    • Cloud Trends and Innovations
    • Cloud Security
    • Cloud Platforms
  • Data Management
  • DevOps and Automation
    • Tutorials and How-Tos
  • Case Studies and Industry Insights
    • AI and Machine Learning in the Cloud
No Result
View All Result
multicloud365
No Result
View All Result

Asserting normal availability of Memorystore for Valkey

admin by admin
April 20, 2025
in GCP
0
Asserting normal availability of Memorystore for Valkey
399
SHARES
2.3k
VIEWS
Share on FacebookShare on Twitter


Editor’s word: Ping Xie is a Valkey maintainer on the Valkey Technical Steering Committee (TSC).


Memorystore, Google Cloud’s absolutely managed in-memory service for Valkey, Redis and Memcached, performs an more and more necessary position in our clients’ deployments — in truth, over 90% of the highest 100 Google Cloud clients use Memorystore. In the present day, we’re excited that the Memorystore for Valkey service is now typically out there, a big step ahead for open-source in-memory knowledge administration on the cloud. With the GA, now you can run your manufacturing workloads on Memorystore for Valkey backed by a 99.99% availability SLA together with options corresponding to Non-public Service Join, multi-VPC entry, cross-region replication, persistence, and lots of extra.

After we launched the preview of Memorystore for Valkey in August 2024, lots of of Google Cloud clients like Main League Baseball (MLB) and Bandai Namco Studios Inc. jumped in and deployed the service. In the previous couple of months, they’ve offered us with invaluable suggestions that has formed the service we’re asserting at present:

“At Main League Baseball, our use of Memorystore has been a key half in optimizing how we deliver knowledge to our followers. We’re excited in regards to the normal availability of Memorystore for Valkey, a very open-source various. We consider its inherent flexibility and the facility of community-driven growth will additional improve our velocity, scalability, and real-time knowledge processing capabilities, permitting us to higher serve our followers, gamers, and operations.” – Rob Engel, Vice President of Software program Engineering, Main League Baseball

“Bandai Namco Studios makes use of Memorystore to energy the low-latency and high-scale efficiency important for a lot of of our titles. We’re excited in regards to the GA launch of Memorystore for Valkey. Its velocity, options, and really open-source nature will empower us to boost real-time gameplay and scale for our international participant base. We stay up for leveraging Memorystore for Valkey’s capabilities to proceed pushing the boundaries of gaming innovation.” – Motoo Fukuda, Technical Director at Bandai Namco Studios Inc.

What’s new at GA

At GA, Memorystore for Valkey is backed by a 99.99% SLA powered by Google’s superior excessive availability and zonal placement algorithms, and ships with a complete suite of enterprise-grade options corresponding to:

  • Help for Non-public Service Join: Memorystore for Valkey is constructed on high of Non-public Service Join, which permits clients to hook up with as much as 250 shards utilizing simply two IP addresses. Memorystore’s discovery endpoint being extremely out there ensures no single level of failure to your cluster.

  • Zero-downtime scaling: Memorystore for Valkey provides zero downtime scaling (out and in) so your cluster can develop along with your utility’s wants, and so it’s cost-optimized to your  workloads. It helps cluster sizes starting from 1 to 250 nodes.

  • Built-in Google-built vector similarity search: Memorystore for Valkey helps ultra-low latency, in-memory vector search, and may carry out vector search at single-digit millisecond latency on over a billion vectors, with larger than 99% recall.

This efficiency is powered by Google’s vector search module, the official search module for the Valkey OSS undertaking, which is built-in into Memorystore for Valkey. The module permits fashionable AI purposes for gen AI use instances corresponding to retrieval-augmented technology (RAG), suggestion methods, and semantic search. With hybrid search help, customers can obtain extra correct and contextually related search outcomes, resulting in improved utility efficiency and a greater person expertise.

  • Managed backups: Entry to built-in managed backups permits each automated and on-demand backups for migrations, catastrophe restoration, and compliance.

  • Cross-region replication (CRR): Utilizing CRR, you possibly can obtain catastrophe restoration prepared-ness and low-latency reads throughout areas. Right now, along with the first area, we help as much as two secondary areas with clusters that in flip can have various numbers of replicas. Memorystore for Valkey ensures each the info aircraft and management aircraft stay in sync throughout areas.

  • Multi-VPC entry: Memorystore for Valkey helps a number of client-side VPCs to hook up with one Non-public Service Connection endpoint on the Valkey cluster. Utilizing this expertise, you possibly can securely join purchasers throughout a number of initiatives and VPCs.

  • Persistence: Memorystore for Valkey provides each RDB-snapshot and AOF-logging primarily based persistence to satisfy various knowledge sturdiness necessities.

Memorystore for Valkey helps each Valkey 7.2, and our engine of selection, Valkey 8.0, which provides many enhancements over its predecessors:

  • Distinctive efficiency: With asynchronous I/O enhancements, Memorystore for Valkey 8.0 delivers higher throughput and achieves as much as 2x Queries Per Second(QPS) of Memorystore for Redis Cluster at microseconds latency, serving to purposes deal with demanding internet-scale workloads with ease.

    Whereas priced in-line with Memorystore for Redis Cluster, Memorystore for Valkey’s efficiency optimizations can result in substantial price financial savings by probably requiring fewer nodes to deal with the identical workload.

  • Optimized reminiscence effectivity: Valkey 8.0’s optimized reminiscence administration delivers improved reminiscence financial savings, decreasing operational prices throughout numerous workloads.

  • Enhanced reliability: Valkey 8.0 provides considerably extra dependable scaling with Google-contributed options like computerized failover for empty shards and extremely out there migration states. Moreover, we additionally launched migration states auto-reparing to additional strengthen system resilience.

As well as, Memorystore for Valkey additionally supplies different capabilities, corresponding to  upkeep home windows, single zone clusters, single shard clusters, no-cost inter-zone replication, and so on. 

Our dedication to open supply and buyer belief

Following licensing updates to Redis OSS by Redis Inc. in March 2024, the open-source group established Valkey OSS as a substitute that’s supported by organizations together with Google, Amazon, Snap and others.

We deeply worth the belief you place in us. To make sure you proceed to have entry to highly effective, open expertise, we launched Memorystore for Valkey on Google Cloud. In contrast to Redis, the Valkey OSS undertaking is below the BSD 3-clause license and backed by the Linux Basis. The momentum behind Valkey has been exhilarating. 

Along with Memorystore for Valkey, we’re additionally dedicated to supporting and delivering new capabilities for Memorystore for Redis Cluster and Memorystore for Redis. And when Memorystore for Redis clients are able to undertake Valkey — for its price-performance, reliability and open-source nature — we provide full migration help. Memorystore for Valkey is absolutely appropriate with Redis OSS 7.2 APIs and your favourite purchasers, making it straightforward to modify to open supply. Additional, you possibly can reuse your Memorystore for Redis and Memorystore for Redis cluster dedicated use reductions (CUDs), smoothing the transition.

Attempt Memorystore for Valkey at present

One of the simplest ways to expertise the facility of Memorystore for Valkey is to attempt it out. Get began with the documentation or deploy your first Valkey occasion. Do not let having to self-manage Redis maintain you again. Expertise the simplicity and velocity of Memorystore for Valkey at present and see the way it can energy your purposes, so you possibly can concentrate on what issues: innovating and creating impactful purposes for your small business!

Tags: AnnouncingavailabilitygeneralMemorystoreValkey
Previous Post

aSYNcrone: The Final Information to Utilizing the SYN Flood DDoS Device

Next Post

What’s New at ManagedMethods: New Options, Smarter Instruments & Smoother Experiences

Next Post
What’s New at ManagedMethods: New Options, Smarter Instruments & Smoother Experiences

What’s New at ManagedMethods: New Options, Smarter Instruments & Smoother Experiences

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Trending

SQL Server runs on the brand new HPE VM Necessities

SQL Server runs on the brand new HPE VM Necessities

March 21, 2025
Huge Information in 2024: Key Traits

Huge Information in 2024: Key Traits

January 23, 2025
aSYNcrone: The Final Information to Utilizing the SYN Flood DDoS Device

aSYNcrone: The Final Information to Utilizing the SYN Flood DDoS Device

April 20, 2025
Batch script to kill blocked session

Batch script to kill blocked session

January 23, 2025
dirsearch Command-Line Cheat Sheet – Anto ./on-line

dirsearch Command-Line Cheat Sheet – Anto ./on-line

April 4, 2025
Personal Cloud vs Public Cloud

Personal Cloud vs Public Cloud

January 27, 2025

MultiCloud365

Welcome to MultiCloud365 — your go-to resource for all things cloud! Our mission is to empower IT professionals, developers, and businesses with the knowledge and tools to navigate the ever-evolving landscape of cloud technology.

Category

  • AI and Machine Learning in the Cloud
  • AWS
  • Azure
  • Case Studies and Industry Insights
  • Cloud Architecture
  • Cloud Networking
  • Cloud Platforms
  • Cloud Security
  • Cloud Trends and Innovations
  • Data Management
  • DevOps and Automation
  • GCP
  • IAC
  • OCI

Recent News

Safe & Environment friendly File Dealing with in Spring Boot: Learn, Write, Compress, and Defend | by Rishi | Mar, 2025

Safe & Environment friendly File Dealing with in Spring Boot: Learn, Write, Compress, and Defend | by Rishi | Mar, 2025

May 15, 2025
Bitwarden vs Dashlane: Evaluating Password Managers

Bitwarden vs Dashlane: Evaluating Password Managers

May 15, 2025
  • About Us
  • Privacy Policy
  • Disclaimer
  • Contact

© 2025- https://multicloud365.com/ - All Rights Reserved

No Result
View All Result
  • Home
  • Cloud Architecture
    • OCI
    • GCP
    • Azure
    • AWS
    • IAC
    • Cloud Networking
    • Cloud Trends and Innovations
    • Cloud Security
    • Cloud Platforms
  • Data Management
  • DevOps and Automation
    • Tutorials and How-Tos
  • Case Studies and Industry Insights
    • AI and Machine Learning in the Cloud

© 2025- https://multicloud365.com/ - All Rights Reserved