Redis

Hong Kong Bank, troubled by the high license cost of Dynatrace, adopted Redis+Grafana to build an open source observable architecture in accordance with the TM-E-1 regulatory standards of the Hong Kong Monetary Authority. By adopting a hierarchical strategy of APM for the core system and metrics monitoring for the rest of the services, the bank maintains 70% of the monitoring performance, saving US$1.4 million in monitoring expenses over two years, and the report data can also satisfy the monitoring requirements.

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AIGC has spawned a huge amount of information and news, and it is difficult for traditional message queues to support the high concurrency of tens of millions of information streams. This article explains how to combine Bloom Filter, Consumer Groups, and Vector Retrieval with Redis Stream to realize milliseconds content de-weighting, priority distribution, and real-time recommendation, which can solve the problems of feed stream delay and content homogenization.

Banks dealing with AML and anti-fraud often face the tension between real-time decision-making and in-depth investigation. In this paper, we analyze how Redis (real-time scoring) and ArangoDB (graph database correlation analysis) can be perfectly divided into different roles and combined with Decisions to automate the process to meet the HKMA compliance guidelines and create a millisecond RegTech defense.

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.

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