Category

Database Engineering

SQL, NoSQL, query optimization and data modeling

62 posts

Mastering Database Transactions: The Backbone of Data Integrity

In the world of database engineering, consistency is not just a feature; it is a fundamental requirement. Whether you are building a banking application, an e-commerce platform, or a simple blog, the ability to execute a series of operations as a single, indivisible unit is crucial. This concept ...

Polyglot Persistence: OLTP/OLAP Routing Strategies

In the era of distributed systems, the monolithic database is no longer the silver bullet it once was. Modern applications demand low-latency transaction processing alongside complex analytical queries. This dichotomy creates a fundamental architectural challenge: how do we serve both operational...

Cracking the Code: Efficient Partitioning Strategies for Petabyte-Scale Event Logs

In the modern landscape of distributed systems, event logs are the lifeblood of observability, analytics, and auditing. As systems scale, these logs grow not just in volume, but in complexity. Handling petabytes of event data requires more than just adding more storage; it demands a sophisticated...

PostgreSQL JSONB: Schema-less Event Sourcing

In modern microservices architectures, audit logging is critical for compliance, debugging, and forensic analysis. Traditionally, developers relied on rigid relational schemas for these logs. However, as system behavior evolves, adding new columns to a production audit table becomes a costly oper...

Building Auditable High-Throughput Systems: Event Sourcing & CQRS with PostgreSQL

In modern software engineering, the pressure to balance high transaction throughput with strict audit compliance is relentless. Financial applications, healthcare platforms, and inventory management systems often face a dual requirement: they must process millions of transactions per second while...