Which strategy helps reduce latency and egress costs for cloud applications?

• A. Disable caching to ensure fresh data every time.
• B. Place resources close to users, use CDNs, caching, data compression, and minimize data transfer.
• C. Move all data to a single region regardless of users.
• D. Increase instance size to handle more load locally.

Answer: (B)

Reducing latency and egress costs comes from bringing resources closer to users and cutting how much data travels over the network. Placing resources near end users lowers round-trip times, while a content delivery network caches popular data at edge locations so requests are served from nearby servers instead of reaching the origin. Caching reduces repeated data transfers, and data compression shrinks the size of payloads, speeding up transfers and lowering bandwidth use. Minimizing data transfer focuses on sending only what’s needed, which further cuts both latency and egress charges. This combination directly targets the network distance and the amount of data moved, making it the best approach.

Disabling caching would force fresh data every time, increasing latency and data transfer. Moving all data to a single region, regardless of user location, would make distant users suffer longer delays and incur higher inter-region transfer costs. Increasing instance size helps computation locally but doesn’t address the distance data must travel or the volume of data moved across networks.