cloudflare-kv

Cloudflare Workers KV provides edge caching with TTL-based expiration, allowing you to store key-value pairs that automatically expire after a specified duration. Use the put operation with a ttl parameter to set cache lifetime, reducing latency for frequently accessed data across distributed locations.

Yes, Cloudflare KV supports metadata storage alongside each key-value pair, enabling you to attach filtering criteria, timestamps, or custom attributes. Retrieve and filter keys using metadata without fetching the full value, streamlining list operations and pagination in API responses.

Cloudflare KV supports put, get, delete, and list operations for both single and batch processing. Perform bulk read/write/delete across multiple keys, handle eventual consistency explicitly, and use waitUntil for asynchronous writes without blocking edge response delivery.

Use the list operation to retrieve keys with pagination support and optional metadata filtering. Cloudflare KV handles pagination cursors for iterating through large keysets efficiently, making it suitable for user preferences, rate-limiting tables, and configuration management at scale.

Yes, Cloudflare KV is well-suited for rate limiting, user preferences, and lightweight configuration caching. Combine TTL expiration with metadata and batch operations to track request counts, store user settings, and manage distributed state across edge locations with minimal latency.

Cloudflare KV exhibits eventual consistency across regions and has per-read latency; it is optimized for read-heavy workloads rather than strongly consistent writes. Use cacheTtl for additional caching layers and understand that list operations scan key metadata only, not full values.