In today's fast-paced digital landscape, latency can have significant consequences on businesses and customers alike. Real-time inventory management and fraud detection are two areas where latency can lead to "outages," resulting in lost revenue, customer frustration, and financial losses. However, modern architectures such as event-driven microservices and in-memory databases like Redis Enterprise can help reduce latency and eliminate these outages. By incorporating dynamic information into risk calculations and leveraging tools like Redis Enterprise, businesses can provide real-time data without compromising availability or consistency. Furthermore, using Active-Active Geo-Duplication and network edges like 5G Edge and AWS Wavelength Zones can further reduce latency and bring the data closer to where it's being used, ensuring a modernized system with improved performance and reduced risk of outages.