SQL, NoSQL, query optimization and data modeling
62 posts
In the realm of distributed systems and modern API design, network instability is not a matter of if, but when. Clients may timeout, retry requests, or suffer intermittent connectivity issues. Without proper safeguards, a simple retry can lead to catastrophic data duplication—charging a customer ...
As distributed systems scale globally, the physical distance between data centers introduces unavoidable network latency. For developers building multi-active databases, minimizing this Global Read Latency is critical for user experience. However, achieving low latency often forces architects to ...
Modern distributed systems face a dual challenge: they must handle high-volume, low-latency transactional operations while simultaneously supporting complex analytical queries that drive business intelligence. Relying on a single relational database for both purposes often leads to performance de...
In the modern landscape of cloud-native applications, the database is the single point of failure that keeps many engineers awake at night. While we frequently apply chaos engineering principles to microservices and network layers, the database often remains an untested fortress until a catastrop...
In the world of serverless computing, cold starts are often the headline problem, but they are not the only performance killer lurking in your architecture. For many developers, the silent bottleneck is the database connection overhead. Traditional application servers maintain persistent connecti...
In the landscape of modern distributed systems, write-heavy workloads present a unique set of challenges. Traditional relational databases often struggle with concurrency bottlenecks, lock contention, and storage overhead when faced with millions of writes per second. To address this, architects ...
In the realm of modern database engineering, the frequency of deployments has increased dramatically. While application code changes are routinely integrated and deployed via Continuous Integration/Continuous Deployment (CI/CD) pipelines, database schema changes often remain a source of friction ...