System designLevel 2
Scale and caching
Easynot started
Mediumnot started
Hardnot started
Caching strategiesProtect the slow database by storing frequent results in fast memory.3 minSharding & partitioningSplitting a giant database across multiple servers to handle more data and traffic.3 minCDNs & the edgeDefeat the speed of light by moving data physically closer to the user.3 minCDN cache hierarchyWhy 100 cache misses don't equal 100 database hits.3 minConnection pooling proxy (gateway)Standing between thousands of microservices and one fragile database.3 minGraph database shardingWhy breaking a social network across multiple servers is an architectural nightmare.3 minTime-series DBA database whose whole job is to swallow a firehose of timestamped metrics and answer "what happened between then and now?" fast.3 minConnection pool proxyShielding the Database from Serverless Architectures.3 minEgress proxy gatewayControlling what your servers are allowed to talk to on the internet.3 minEmbedded KV store tuningMaking RocksDB and SQLite fly without blowing up your server's RAM.3 minMulti-tenant databaseMany customers share one system, but each must only ever see their own rows.4 minRate limiting as a security controlCapping attempts per identity turns an unlimited brute-force attack into a hopeless one.6 minReverse-proxy rate limitingStop the flood at the front door so your origin only ever sees a steady trickle.4 minService mesh networkingPut a small proxy beside every service so the network, retries, mTLS, routing, metrics, is handled outside your app code.4 minVideo edge storage (byte-range caching)You can't fit a 50GB movie into a local edge node's RAM.3 min