All articles tagged with System Design
Distributed systems are just a fancy way to fail in parallel. We dissect battle-tested patterns for high-availability architectures, focusing on latency reduction, circuit breaking, and Norwegian data sovereignty.
Sharding is the nuclear option of database scaling. Learn when to pull the trigger, how to implement consistent hashing, and why infrastructure latency defines success in 2025.
When vertical scaling hits the hardware ceiling, sharding is the only path forward. We analyze hash vs. range strategies, implement PostgreSQL 16 partitioning, and discuss why network latency dictates your architecture's success.
Stop throwing RAM at the problem. A battle-hardened guide to database sharding, covering consistent hashing, latency reduction in Norway, and why underlying hardware defines your success.
Moving to microservices introduces network complexity that can kill performance. We analyze critical patterns—Circuit Breakers, API Gateways, and Service Mesh—specifically optimized for Nordic infrastructure and GDPR compliance.
When `UPDATE` queries hang and your primary node hits 100% CPU, vertical scaling stops working. This guide dissects practical database sharding strategies, architecture patterns, and the critical infrastructure requirements for sustaining massive throughput in 2022.
When 'adding more RAM' stops working, it's time to shard. A deep dive into horizontal scaling strategies, consistent hashing, and infrastructure requirements for the Norwegian market.
When vertical scaling hits the wall, sharding is your only exit. We dissect range vs. hash partitioning, consistency trade-offs, and why low-latency infrastructure like CoolVDS is non-negotiable for distributed data layers.
Sharding is the nuclear option of database scaling. It introduces complexity, latency, and maintenance nightmares. But when your primary key integer overflows and your IOPS hit the ceiling, it's the only path left. Here is the battle-tested guide to implementing sharding on high-performance infrastructure without losing data.
Sharding is the solution of last resort. Before you split your database, understand the architectural trade-offs, consistent hashing algorithms, and why vertical scaling on NVMe might save your engineering team months of pain.
Sharding is not a feature; it's a complexity tax. Before you slice your database, understand the architectural costs, the latency penalties, and why raw NVMe compute might save you from rewriting your entire backend.