Category: Uncategorized

Web Development, Performance, Distributed Systems, APIs, Databases, Backend Engineering — Daily Update 2026-11-01 By Marcus Vance · Lead Systems & Backend Architect · November 2026 Today’s Focus: Distributed Transaction Coordination Without Two-Phase Commit The industry has spent decades treating two-phase commit (2PC) as the default answer for atomicity across service boundaries. In 2026, that default…

Web Development, Performance, Distributed Systems, APIs, Databases, Backend Engineering — Daily Update 2026-10-30 By Marcus Vance · Lead Systems & Backend Architect · October 2026 Today’s Focus: Write-Ahead Logging Internals — Why Your Checkpoints Matter Every production database you run — PostgreSQL, MySQL/InnoDB, SQLite, SQL Server — relies on Write-Ahead Logging (WAL) for crash recovery.…

MongoDB WiredTiger: Document Compression and Snapshot Isolation By Nora Thorne | webdevelopmentor.com WiredTiger Storage Engine MongoDB’s WiredTiger storage engine provides document-level compression and snapshot isolation for concurrent workloads. The pluggable compression library (Zlib, Snappy, LZ4, ZSTD) reduces storage footprint while maintaining read performance. Snapshot isolation ensures that readers see a consistent point-in-time view without blocking…

Linux Kernel RCU: Read-Copy-Update Synchronization By Nora Thorne | webdevelopmentor.com RCU Core Principles Read-Copy-Update (RCU) is a synchronization primitive optimized for read-heavy workloads where readers can proceed without disabling preemption or acquiring locks. The fundamental RCU algorithm involves three phases: grace period detection, cleanup of stale references, and synchronization. RCU excels in kernel subsystems such…

Linux Kernel RCU: Read-Copy-Update Synchronization By Nora Thorne | webdevelopmentor.com RCU Core Principles Read-Copy-Update (RCU) is a synchronization primitive optimized for read-heavy workloads where readers can proceed without disabling preemption or acquiring locks. The fundamental RCU algorithm involves three phases: grace period detection, cleanup of stale references, and synchronization. RCU excels in kernel subsystems such…

Redis Clustering: Sharding, Failover, and Sentinel Patterns By Nora Thorne | webdevelopmentor.com Redis Cluster Architecture Redis Cluster provides horizontal scalability through sharding, where data is automatically partitioned across slot ranges. Each node in a Redis Cluster holds a subset of the hash slots, enabling linear scaling without complex proxy configurations. The cluster model uses mesh…

PostgreSQL MVCC: Multi-Version Concurrency Control Internals By Nora Thorne | webdevelopmentor.com MVCC Snapshot Isolation Fundamentals Multi-Version Concurrency Control (MVCC) provides transaction isolation without exclusive locks. Each transaction sees a consistent snapshot of the database as of its start time, with each row version carrying a visibility map that determines whether it’s visible to the current…

SQLite WAL Mode: Database Integrity and Crash Recovery By Nora Thorne | webdevelopmentor.com Write-Ahead Logging: Architecture Fundamentals Write-ahead logging (WAL) is SQLite’s mechanism for ensuring atomic commits and crash resilience. Unlike the rollback journal, WAL retains the original database file while appending changes to a separate write-ahead log file. This design allows readers to continue…

The Consistency Trinity: Idempotency Keys, Atomic Transactions, and Write-Ahead Logging The Consistency Trinity: Idempotency Keys, Atomic Transactions, and Write-Ahead Logging By Marcus Vance · Lead Systems & Backend Architect · October 2026 Every production system eventually meets one of three disasters: a payment that was charged twice, a transfer where the money left one account…