sharded-counters

Sharded counters solve write contention by distributing high-frequency increments across multiple physical storage shards, bypassing single-row serialization limits to absorb massive traffic without throughput plateaus.

HyperLogLog provides probabilistic counting for large-scale unique visitor tracking by estimating cardinality with high memory efficiency, allowing distributed systems to track millions of unique items without storing individual identifiers.

The best way to handle millions of concurrent increments per second is distributing write operations across multiple shards, which absorbs massive traffic by spreading the load and preventing single-counter throughput bottlenecks.

You need sharding for distributed counters when a single counter cannot handle the write volume, causing lock contention and throughput plateaus during viral events or global rate tallies that require eventual consistency.

Yes, sharded counters manage time-windowed bucketed counters for rolling rate-limiting and recent-activity tracking, distributing increments across shards while maintaining bucketed time windows for rate calculations.

Probabilistic cardinality estimation using HyperLogLog trades exact precision for memory efficiency, providing approximate unique counts that satisfy eventual consistency requirements rather than exact real-time tallies.