Scoreboard 181 Dev Top [new]

At the enterprise level, your scoreboard backend will face high read-traffic. Hitting a relational database directly for every scoreboard view will quickly bottleneck your application. Implement an in-memory database like Redis for caching.

: Divide users based on their target tiers, combining results only for the absolute top standings. Reducing Network Payloads scoreboard 181 dev top

| Rank | Handle | Solved | Penalty | Problem A | Problem B | Problem C | Problem D | |---|---|---|---|---|---|---|---| | 1 | toxabet | 4 | 129 | + 00:06 | + 00:19 | + 00:14 | +1 01:20 | | 2 | Piyush122005 | 3 | 260 | +1 01:57 | + 01:15 | + 00:58 | — | | 3 | Zoror | 3 | 261 | +1 00:20 | +3 01:46 | + 01:35 | — | At the enterprise level, your scoreboard backend will