In my previous blog, I explored how serializability ensures isolation across transactions while linearizability guarantees real-time consistency of single objects. This post builds on that discussion by diving deeper into serializability itself. Concurrency control in databases is all about ensuring that transactions running in parallel behave as if they had…
Durability requirements influence the choice of data protection mechanisms, such as replication, erasure coding, and RAID parity configurations. Achieving higher durability involves trade-offs between redundancy, storage usage ratio, and computational complexity. Replication achieves durability by creating multiple copies of data, which increases redundancy but reduces the storage usage ratio. In…
Software systems are built on layers of abstractions. Each layer shields developers from the messy realities beneath, allowing them to think in simpler, more reliable terms. One of the most powerful examples of this principle comes from databases called Transactions. Transactions embody the ACID guarantees — Atomicity, Consistency, Isolation, and Durability…