All articles tagged with Database Architecture
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 your database bottlenecks. A battle-hardened guide to implementing horizontal sharding strategies for high-traffic applications in the Nordic region, focusing on MySQL architectures and NVMe performance.
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.
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.
When vertical scaling hits the ceiling, itβs time to slice the data. We dive deep into sharding logic, PostgreSQL partitioning, and why infrastructure latency defines your distributed success in 2022.
Sharding is complex, expensive, and dangerous. A battle-hardened DevOps guide on when to shard, how to implement it with MySQL/PostgreSQL in 2021, and why raw NVMe power on CoolVDS might save you the trouble.
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.
Vertical scaling has a ceiling. When your NVMe storage is saturated and connections hang, it's time to shard. This guide covers practical sharding strategies for MySQL and PostgreSQL, specifically tailored for high-availability setups in the Nordic region.
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.
Sharding is complex, risky, and necessary for massive scale. Before you split your database, understand the architecture, the role of NVMe storage, and how to implement application-level routing in a 2019 stack.
Stop throwing RAM at your slow database. Learn practical sharding strategies, MySQL offset configurations, and why network latency in Norway matters more than your CPU clock speed.
Vertical scaling has a ceiling. When your primary node hits 100% CPU on I/O wait, it's time to slice the data. A deep dive into consistent hashing, lookup tables, and the infrastructure needed to support them.
Sharding is complex, dangerous, and sometimes necessary. From ProxySQL 1.4 configurations to application-level routing, here is how to horizontally scale your database architecture without losing dataβor your sanityβbefore the GDPR deadline hits.
When 'adding more RAM' stops working, you need a strategy. We dissect database sharding architectures relevant to high-traffic European workloads in 2017.
When vertical scaling hits the wall, sharding is your only exit. We explore key-based and range-based partitioning, handling cross-shard JOINs, and why low-latency infrastructure is non-negotiable for distributed data layers.
Vertical scaling has a ceiling. When your MySQL instance starts choking on write-heavy loads, it's time to talk about sharding. We explore consistent hashing, topology planning, and why network latency in Oslo matters more than you think.
When vertical scaling hits the ceiling, sharding is the only path forward. A deep dive into partitioning strategies, consistent hashing, and infrastructure considerations for 2016.
With the recent invalidation of Safe Harbor, data locality is critical. Learn when to shard your MySQL architecture and why vertical scaling on Norwegian NVMe infrastructure might be the smarter move in late 2015.
Sharding is a last resort, not a feature. We explore architectural patterns for scaling MySQL and PostgreSQL horizontally, specifically tailored for the Norwegian infrastructure landscape post-Safe Harbor.
Vertical scaling hits a wall. When your `innodb_buffer_pool_size` exceeds physical RAM, it's time to shard. We break down the architecture of distributed databases, consistent hashing, and why low-latency infrastructure in Norway is critical for performance.