Data-Integrity

Diagram of Apache Flink checkpoint flow between job managers and task managers

Architecting Exactly-Once Semantics with Apache Flink Checkpoints

A deep dive into Flink’s checkpointing mechanism, fault-tolerant state management, and practical patterns for building reliable streaming pipelines.

A schematic of PostgreSQL's Write-Ahead Log pipeline.

Deep Dive into the Postgres Write-Ahead Log: Ensuring Durability and Data Integrity for Production Systems

A production‑ready guide to PostgreSQL’s WAL, covering its internals, configuration knobs, and monitoring practices that safeguard durability and data integrity.

The Durability Guarantees That fsync Does Not Actually Provide

fsync is often assumed. This post uncovers those gaps and offers practical safeguards.

Diagram of a database log file with arrows showing write-ahead logging flow.

Why Write-Ahead Logging Prevents Database Corruption During Crashes

Write-ahead logging (WAL) writes changes to a durable log before modifying the database, allowing recovery after crashes and eliminating corruption.

Journal Checksumming: Ensuring Data Integrity in Modern Filesystems

Introduction In the world of storage systems, data integrity is a non‑negotiable requirement. A single corrupted byte can cascade into file system corruption, application crashes, or even data loss. While traditional journaling filesystems protect against power failures and crashes by replaying a write‑ahead log (the journal), they often assume the journal itself is trustworthy. In practice, hardware faults, memory errors, or transmission glitches can corrupt journal entries before they are applied to the main file system structures. ...