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MySQL & Open-Source Databases

Enterprise-grade scaling and reliability for the world's most popular open-source database.

Web-Scale Open Source Databases

MySQL powers the majority of the world's web applications — from WordPress blogs to massive SaaS platforms serving millions of concurrent users. Its reliability, simplicity, and extensive ecosystem make it the default choice for application developers. However, the default MySQL configuration is designed for development convenience, not production performance — and the gap between a development-ready MySQL instance and a production-hardened one is enormous.

We specialize in tuning MySQL and its cloud-managed variants (Amazon Aurora MySQL, Google Cloud SQL, Azure Database for MySQL) for high-traffic production workloads. Connection pooling optimization, InnoDB buffer pool sizing, query cache analysis, and replication topology design can transform a struggling database into one that handles 10x the traffic on the same hardware.

For organizations running mission-critical workloads on MySQL, we also evaluate cloud-native alternatives — Aurora Serverless for variable workloads, PlanetScale for infinite horizontal scaling, and Vitess (the MySQL sharding framework that powers YouTube) for applications that have outgrown single-instance MySQL's vertical scaling limits.

MySQL & Open-Source Databases

When MySQL Hits Its Limits

Unaddressed database challenges silently erode application performance, regulatory posture, and competitive advantage — compounding daily.

01

Connection Exhaustion

Your application's 'too many connections' errors spike during traffic peaks because the default MySQL connection limit and your application's connection pooling are misconfigured. Each failed connection translates directly to a lost customer interaction or failed API call.

02

Replication Lag

Your read replicas are falling minutes or hours behind the primary database, causing your application to serve stale data to users. Dashboard queries running against replicas show yesterday's numbers because replication cannot keep pace with the write volume on the primary.

03

Scaling Ceiling

Your MySQL instance is running on the largest available VM size and you have exhausted vertical scaling options. Table partitioning, read replicas, and application-level caching are providing diminished returns. You need a genuine horizontal scaling strategy.

What We Deliver

Enterprise database capabilities spanning design, migration, performance tuning, and continuous optimization.

Capability 01

Performance Tuning & Configuration

Optimizing MySQL's InnoDB engine configuration, connection handling, and query execution for production workloads. We analyze slow query logs, EXPLAIN output, and performance_schema metrics to identify and resolve the specific bottlenecks causing application degradation.

InnoDB buffer pool sizing and configuration for optimal memory utilization and hit ratio
Slow query log analysis identifying the top resource-consuming queries for optimization
Connection pooling configuration (ProxySQL, PgBouncer for PostgreSQL) eliminating connection storm issues
Query optimization through index design, query rewriting, and execution plan analysis
Capability 02

Replication & High Availability

Designing MySQL replication topologies that provide both read scalability and automated failover. We configure GR (Group Replication), semi-synchronous replication, and ProxySQL read/write splitting to distribute workload across multiple instances while maintaining data consistency.

MySQL Group Replication deployment for multi-primary and single-primary high-availability clusters
Semi-synchronous replication configuration guaranteeing at least one replica acknowledges every write
ProxySQL deployment for transparent read/write splitting and connection multiplexing
Automated failover testing with Orchestrator or MHA (Master High Availability) configuration
Capability 03

Cloud Migration & Managed Services

Migrating self-managed MySQL instances to cloud-managed services that eliminate patching, backup management, and replication configuration overhead. We evaluate Aurora MySQL, Cloud SQL, and Azure Database for MySQL to recommend the platform that provides optimal performance and cost for your workload profile.

Amazon Aurora MySQL migration leveraging storage-level replication for performance and durability improvements
Google Cloud SQL for MySQL deployment with automated backups, maintenance windows, and read replica configuration
Aurora Serverless v2 evaluation for variable workloads where capacity can scale to zero during idle periods
Database Proxy configuration (RDS Proxy, Cloud SQL Auth Proxy) for serverless application connection management
Capability 04

Horizontal Scaling & Sharding

Implementing horizontal scaling strategies for applications that have outgrown single-instance MySQL. We evaluate and deploy distributed MySQL solutions — PlanetScale (built on Vitess), Vitess directly, or application-level sharding — that provide virtually unlimited scalability while maintaining MySQL compatibility.

PlanetScale evaluation and deployment for Vitess-based horizontal scaling with non-blocking schema changes
Application-level sharding strategy design with consistent hash routing and cross-shard query handling
Vitess direct deployment for organizations requiring fine-grained control over MySQL sharding topology
Data migration from single-instance to sharded architecture with zero-downtime cutover methodology

MySQL Optimization Process

A systematic approach to database performance, reliability, and scalability.

01

Workload Analysis

We collect performance_schema metrics, slow query logs, and InnoDB engine statistics during representative workload periods. We analyze query patterns, lock contention, I/O throughput, and connection utilization to build a comprehensive performance profile.

02

Configuration Optimization

We tune InnoDB buffer pool, log file sizing, connection limits, and thread pool configuration based on the workload analysis. We optimize the top 20 resource-consuming queries through index additions, query rewrites, and proper JOIN ordering.

03

Architecture Enhancement

Based on scaling requirements, we implement read replicas, ProxySQL read/write splitting, or horizontal sharding. We configure automated failover and monitoring to ensure the enhanced architecture is operationally sustainable.

04

Monitoring & Maintenance

We deploy Percona Monitoring and Management (PMM) or CloudWatch/Cloud Monitoring dashboards for continuous MySQL performance visibility. We establish automated alerting for replication lag, connection saturation, and query performance regression.

Frequently Asked Questions

Should we use Amazon Aurora MySQL or standard MySQL on RDS?
Aurora provides significant advantages for production workloads: 6x throughput improvement over standard MySQL, automatic storage scaling up to 128TB, instant crash recovery, and up to 15 read replicas with sub-100ms lag. The premium is typically 20% over standard RDS MySQL — a worthwhile investment for mission-critical applications.
When is sharding necessary versus just adding read replicas?
Read replicas solve read-heavy workloads but do not help with write scaling — all writes still go to a single primary instance. Sharding distributes both reads and writes across multiple independent databases. You need sharding when your write volume exceeds single-instance capacity or your dataset is too large for a single server's storage and memory.
Can you help us migrate from MySQL to PostgreSQL?
Yes. PostgreSQL provides significant advantages for complex analytical queries, JSON processing, and advanced features like materialized views and partial indexes. We handle schema conversion, data migration, and SQL syntax translation. However, we recommend this transition primarily when MySQL's feature limitations are actively blocking business requirements — not as a general-purpose upgrade.
How do we handle MySQL backups for large databases?
We recommend Percona XtraBackup for physical hot backups of large InnoDB databases — it creates consistent backups without locking tables or impacting application performance. For cloud-managed instances, we configure automated snapshot schedules with point-in-time recovery retention. We also establish and regularly test restoration procedures to validate actual recovery capability.

Ready to modernize your data layer?

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