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

Highlights

In this paper, we systematically sort out the five most common technical challenges in the financial industry during the digital transformation process: system bottlenecks in high consolidation scenarios, delays in disaster recovery switching, lack of real-time performance, rising compliance pressures, and difficulties in platform scaling.
To address these pain points, Redis Enterprise Edition provides the following featuresMemory Level Performance,Enterprise High Availability and Security,Modularized real-time processing capabilitiesandFlexible Deployment Expansion StrategyThe company's technology infrastructure is designed to help financial institutions build stable, secure, and agile technology infrastructures.
The article also combines in-depth analysis of real cases such as Axis Bank, Cheq, Ekata, etc. to help fintech decision makers quickly find the most suitable solutions.

A. Is the banking industry really ready for digital transformation?

The wave of digitization is reshaping the financial industry. Whether in the banking, insurance or securities industry, customers are looking for a "anywhere, anytime" service experience,Seconds response timeas well asSeamless Cross-Channel InteractionThe requirements are getting higher and higher.
However, many traditional financial institutions areSystem Architecture Upgrade, Performance Expansion and Security ProtectionWe are still under tremendous pressure.

For example, a large state-owned bank processes more than 60,000 transactions per second, and a single payment outage during peak hours can result in millions of dollars in direct economic loss and loss of customer trust. Traditional databases and intermediary software are not up to the task of meeting such a challenge - and that's where the high-performance, low-latency** Modern Data Infrastructure** plays a critical role.

Cracking the financial system bottleneck, five key solutions for Redis Enterprise Edition

In the process of financial digital upgrading, the technological shortcomings of legacy systems are constantly being magnified. Below is a list of the five most common core technology challenges faced by financial institutions today, each of which is related toUser Experience, Regulatory Compliance and Business GrowthRedis Enterprise Edition not only identifies these challenges, but also provides concrete, actionable solutions through core functionality and real-world examples.

Pain point 1: High concurrent impact, easy to collapse the system

During times such as payday, holiday promotions, or e-commerce payment spikes, financial systems are often subjected toMillion Dollar Quantity RequestThe impact of traditional databases. Traditional databases have limited responsiveness and are highly prone toTransaction delays, request backlogs and even system downtime.The

Redis Enterprise Edition solution:

  • Native Memory Architecture forSub-millisecond response time

  • Dynamic slicing and linear extension mechanism to easily supportMillion TPS (transactions per second)

  • Supports multi-threaded I/O to fully utilize multi-core computing power and significantly increase concurrent performance.

Real Case: Axis Bank

Axis Bank, India's third largest private sector bank, adopted Redis Enterprise to re-engineer its payment platform as its legacy architecture was unable to support the high merger pressure due to the surge in UPI transactions.
After the system was uploaded, it was able to stably support more than 1,000 transactions even during the peak trading periods of holidays and festivals. 800,000 TPSThe average response time has stabilized at Within 2 millisecondsIn addition, it has successfully passed the Central Bank's stringent assessment of transaction delays.

Pain Point 2: Slow Disaster Preparedness Switching, Insufficient Business Continuity

When a core node fails, traditional disaster recovery switching often takes hours, resulting in transaction failures, service disruptions and even trust crises.

Redis Enterprise Edition solution:

  • EquipmentActive-Active Architecture and Automatic Failover MechanismsThe following is an example of a program that can be used in the Master-slave switchover in 3 seconds

  • Support for cross-geographic deployment and maintenanceData ConsistencyEnsure high availability of services

  • Built-in high availability solution (Redis Sentinel + Active-Active) for complete disaster recovery without relying on external tools

Real Case: A joint-stock bank

During the annual business continuity exercise, the bank found that the time required for disaster recovery of traditional databases was about 1,000 hours. 2 and a half minutes.The following is an example of how the Redis Enterprise Edition can be used. After importing Redis Enterprise Edition, it is possible to simulate a primary node failure on the Seamless switching within 3 secondsThe transaction is uninterrupted and is realized for the first time. 100% passes business continuity testThe

Pain point 3: Slow real-time operation and imprecise risk control

Latency is crucial in critical modules such as financial risk control, payment links, and fraud detection. Traditional databases have an average latency of More than 10 millisecondsIn addition, it is no longer possible to meet the real-time computing needs.

Redis Enterprise Edition solution:

  • The ultimate in memory-based query performance, combined with modular features such as RedisSearch, RedisJSON, and more.Real-time Data Recall

  • Supports a wide range of data structures and models to shorten the business processing chain.

  • Perfectly integrates with Spark, Kafka, and other ecosystems to realize smoothReal-Time Data Processing

Real Case: Cheq

While expanding into Southeast Asia, the fintech company found that high latency in the payment validation link was affecting the user experience. After reorganizing the transaction authentication path with Redis Enterprise EditionResponse time reduced from 10 ms to less than 1 msIncreased transaction success rate 17%New user retention rate increased 12%The

Pain point 4: Stringent regulatory requirements and enormous compliance pressure

The financial system needs to meet a number of regulatory requirements at the same time, including GDPR, Levels of Protection (MLPS) and Data SovereigntyThe traditional system is not a good idea. The conventional system is inEncrypted Transmission, Privilege Control and Audit TrailThere are often deficiencies.

Redis Enterprise Edition solution:

  • support sth. TLS encrypted communicationsand ACL (Access Control List) Realization of detailed authority control

  • built-inAudit Log ModuleIn addition to the above, the company also meets the requirements of various types of regulatory reviews.

  • Provides enterprise-level authentication and role management interface, compatible with LDAP, Active Directory Mainstream systems

Real Case: A Foreign Bank in China

To fulfill the dual regulatory requirements in China and Europe, the bank deployed Redis Enterprise Edition as the data caching center for its real-time risk management system. With Redis' security modules, the bank successfully passed the Double Audit of EU GDPR and China's Levels of ProtectionInternal Audit Efficiency Improvement 60%Reduced incidence of security incidents 80%The

Pain point 5: Inflexible expansion and slow innovation advancement

The speed of new product development and launch is constrained by complex development environments and long-term deployment processes, which severely limit the pace of business innovation.

Redis Enterprise Edition solution:

  • furnishModular Deployment CapabilitiesRapid setup of development and test environments

  • adoptHybrid Memory ArchitectureAutomatically stratifies hot and cold data to save storage and computation costs.

  • EquipmentsEnterprise-class visualization and maintenance platform with API interfaceDramatically shortens development and deployment cycles

Real Case: Ekata

In building its global identity verification platform, Ekata uses Redis Enterprise Edition's RedisTimeSeries and RedisSearch modules to support nearly 1,000 transactions per second. 35,000 requestsThe average response time of the system has been maintained. The average system response time is maintained at Within 200 millisecondsSupporting multinational teamsDeploy new model versions weeklyThe efficiency of development has increased dramatically.

Go to the Redis Product Page

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