The HKMA has repeatedly emphasized risk-based and principle-driven requirements in recent years, and has brought the risk of third-party IT solutions to the forefront, meaning that it's fine to turn on Maintenance or Redis Enterprise, but you have to prove that the "controls work" rather than that the "tool is famous".
With the implementation of the Hong Kong Protection of Critical Infrastructure (Computer Systems) Ordinance, which makes core functionality continuity and recovery time objectives (RTOs) a statutory obligation, Redis Enterprise approaches zero recovery time and recovery point objectives with its 99.999% highly available architecture, single-second automatic failover, and Active-Active multi-activity technology. With millisecond latency under high load, Redis Enterprise helps the financial, telecommunications, and energy industries achieve true zero-disruption data compliance.
This paper analyzes the mainstream caching strategies: Read-Through, Write-Through, Cache-Aside, Write-Behind, TTL, and Prefetching, combines them with p90/p99 latency, hit rate, and drive rate metrics, and introduces the advantages of Redis enterprise-level caching in terms of high concurrency, low latency, and scalability, which helps organizations in Hong Kong and Southeast Asia optimize their system performance and costs. Hong Kong and Southeast Asian enterprises to optimize system performance and cost.
Redis Enterprise Edition helps banks and financial institutions build high-performance, stable and reliable real-time data architectures. Redis Enterprise Edition solves the challenges of high consolidation, disaster recovery, compliance, and risk control with memory-class performance, multi-live architecture, low latency, and high availability. Learn about real-life fintech cases such as Axis Bank, Cheq, Ekata, etc., and start a new era of digital transformation.
HongKe New Article HongKe [HongKe Solutions] Financial Digital Transformation is Imminent: Why Data Layer Upgrade is Critical? Abstract: This article focuses on the financial ... Read more
Latest Posts by HongKe HongKe [HongKe Redis]: Data Management Upgraded! RDI Helps You Achieve Unbiased Real-Time Data Synchronization Introduction: We ... Read more
Companies across industries are increasingly recognizing that making data-driven decisions is a necessity to compete now, in the next 5 years, in the next 20 years and beyond. With the explosion of big language modeling, vector databases have become a hot topic. With just a few lines of simple Python code, vector databases can act as inexpensive but efficient "external brains" for big language models.
LangChain founder Harrison Chase said, "We use Redis in OpenGPTs to store all of our long-term content, including vector storage for its use in retrieval and a database for storing message and agent configurations.The fact that Redis integrates all of this functionality into a single database is very appealing! Redis integrates all of these capabilities in one database, which is very attractive."
Redis has a great reputation and is widely recognized. Developers rely on Redis Enterprise to address key use cases across multiple industries, including gaming, retail, IoT, and travel application development.
