Blob and Object Storage: Storing Files at Scale
Object storage explained: the flat key-space and HTTP model, blob vs object naming, object vs block vs file…
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These backend development guides cover the parts users never see: data, queues and services. Most posts compare two options and explain when each wins.
For example, SQL vs NoSQL and Kafka vs RabbitMQ help with common choices. Also, monolith vs microservices tackles the biggest one. Language series live in the Java, Python and Node.js sections below.
149 articles
Object storage explained: the flat key-space and HTTP model, blob vs object naming, object vs block vs file…
Express is an amazing framework. We can start running a server by writing only 4 lines of code.…
SQL vs NoSQL decided on real constraints: what relational databases guarantee, the types of nosql databases, when to…
How do database indexes work: the b tree index, clustered vs non clustered indexes, composite index column order,…
Sharding vs replication compared: what each mechanism scales, when replication is enough, when to shard, and why production…
Database sharding explained: range, hash, directory, and geographic strategies, choosing a shard key, hot shards, cross-shard queries, and…
Database replication explained: leader-follower, multi-leader, and leaderless topologies, synchronous vs asynchronous trade-offs, replication lag, and the failover failure…
So, you’ve just launched your shiny new WordPress website. The theme is perfect, the copy is polished, and…
What an API gateway does (routing, authentication, rate limits, transformation) how it differs from a reverse proxy and…