All articles tagged with sharding
Vertical scaling has a ceiling. When your master database hits 100% CPU on a Friday night, adding more RAM won't save you. We dissect practical sharding strategies using MySQL 8.0 and PostgreSQL 11, tailored for low-latency infrastructure in Oslo.
Vertical scaling has a ceiling, and you just hit it. We dissect practical database sharding strategies using ProxySQL and MySQL 5.7, ensuring GDPR compliance and low-latency performance for Norwegian workloads.
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.
When vertical scaling hits the wall, sharding is your only exit. We explore practical strategies for partitioning MySQL and PostgreSQL in 2018, handling GDPR data locality requirements, and configuring ProxySQL for minimal latency on Norwegian infrastructure.
Sharding is complex, expensive, and necessary when vertical scaling fails. Learn how to implement horizontal partitioning strategies using MySQL and PostgreSQL without breaking GDPR compliance.
Hit the ceiling on your vertical scale? We dissect application-level sharding, ProxySQL middleware, and GDPR-compliant geo-partitioning to save your high-write infrastructure.
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 data—or your sanity—before the GDPR deadline hits.
It is April 2018. GDPR is looming, your master database is choking on IOPS, and you think sharding is the answer. As a battle-hardened sysadmin, I'm here to tell you: upgrading your vertical stack on CoolVDS is usually smarter. But if you truly have 'Facebook-scale' problems, here is the manual on how to shard without destroying your data integrity.
Vertical scaling hits a wall. This guide explores practical database sharding strategies using ProxySQL and MySQL 5.7, ensuring low latency and compliance within the Norwegian hosting infrastructure.
When vertical scaling hits the ceiling, sharding is the only way out. We explore practical sharding strategies using MySQL 5.7 and ProxySQL, tailored for low-latency infrastructure in Norway.
Vertical scaling has a ceiling. Learn practical database sharding strategies using MySQL 5.7 and ProxySQL to handle massive datasets while keeping latency low and data within Norwegian borders.
When your monolithic database hits the vertical ceiling, sharding is the nuclear option. We explore hash-based vs. range-based strategies, implementation patterns in MySQL 5.7, and why low-latency infrastructure in Oslo is critical for distributed data consistency.
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 your master database hits the I/O ceiling, adding RAM won't save you. We dissect practical sharding strategies for MySQL and PostgreSQL, specifically tailored for high-performance infrastructure in the Nordic region.
When vertical scaling hits the wall, sharding is your only exit. We explore application-level sharding strategies, critical MySQL 5.7 configurations, and why low-latency infrastructure in Norway is non-negotiable for distributed data layers.
When your primary master hits 100% I/O wait, vertical scaling stops working. We explore practical sharding strategies using MySQL 5.7, ProxySQL, and KVM architecture to maintain sub-millisecond latency for Norwegian workloads.
A battle-hardened guide to database sharding strategies using MySQL 5.7 and MongoDB 3.2. We cover application-level partitioning, UUID vs. Ticket Servers, and why low-latency infrastructure in Norway is critical for distributed consistency.
Vertical scaling has a ceiling. When your MySQL master starts choking on IOPS, it's time to shard. We explore practical strategies for partitioning data while keeping latency low and staying compliant with Norwegian data laws.
Stop throwing RAM at your locked tables. A battle-hardened look at implementing database sharding on KVM infrastructure without breaking data consistency or your budget.
Vertical scaling has a ceiling. When your MySQL process locks up despite 64GB of RAM, it's time to shard. Here is a battle-tested guide to horizontal partitioning without losing your mind.