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【虹科方案】 Redis Enterprise 如何助力香港關鍵基礎設施合規?單秒級故障轉移實現零中斷核心功能保障

隨著香港《保護關鍵基礎設施(計算機系統)條例》實施,核心功能持續性與恢復時間目標(RTO)成為法定責任。Redis Enterprise 透過 99.999% 高可用架構、單秒級自動故障轉移與 Active-Active 多活技術,將恢復時間與恢復點目標趨近於零,在高負載下仍維持毫秒級延遲,幫助金融、電信與能源行業實現真正的零中斷數據合規。

Why caching strategy may slow down system performance? What should we think about next?

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.

How Redis Enterprise Edition Builds High Performance, Stable and Reliable Real-Time Data Engine for Banks

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.

How to upgrade Redis, which is used by both ChatGPT and OpenAI, to a vector database?

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.

[Hongke Solution] Customizing AI Agents for LangChain with Redis - OpenGPTs

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."

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