Database Consulting Services
Customer success story
Fergus accelerated customer dashboard speed with stabilized MySQL environments
Accelerating application speed ensured customer's could manage their daily operations without system delays.
Pythian optimized indexes and queries to minimize query latency and improve data retrieval speeds.
Fergus inherited a trades management application running MySQL 8.0 on AWS RDS that suffered from critical dashboard slowdowns, threatening their promise of operational speed. Fergus turned to Pythian to deploy targeted indexing and query optimizations. Eliminating this data latency allowed Fergus' internal engineers to stay focused on product innovation while delivering a flawless, high-speed user experience to over 20,000 trades customers.
"Pythian has a collaborative approach. They really felt like a partner. They met with us twice a week, working with our teams to test recommended indexes and query rewrites before our development team moved these over to production."
Katrina Clokie
Chief Technology Officer, Fergus
152%
Increase in dashboard load speed
20K+
User experience optimized
Maximize your application performance today.
Critical database bottlenecks on AWS RDS
The inherited core database structure regularly generated resource contention that slowed application performance.
Customer dashboard experienced severe latency
Slow loading times on the primary customer interface directly conflicted with the platform's speed-oriented value proposition.
Development resources diverted by troubleshooting
Internal teams lacked the specialized time to address underlying database issues without stalling the product roadmap.
Complex query structures required specialized tuning
Previously added index recommendations and complex query designs were actively choking database throughput.
Pythian conducted a comprehensive database health check to isolate core performance constraints.
Pythian senior engineers audited the entire MySQL configuration and matched Sentry performance data against active system behavior. This isolated the specific newly added indexes and query structures that were extending load times on critical price book elements.
All proposed optimizations underwent rigorous staging validation prior to production deployment.
Pythian collaborated with Fergus' engineers twice weekly to review actionable index modifications, schema adjustments, and query rewrites. Every performance adjustment was fully validated within a controlled environment to ensure zero application downtime.
Systematic parameter adjustments streamlined long-term database throughput on AWS RDS.
Engineers fine-tuned active parameter groups, validated instance sizing, and identified bloated transactional tables requiring archival. These structural changes radically decreased database workload overhead and minimized query execution times.
Embedded technical documentation built long-term database self-sufficiency for Fergus' engineering team.
Pythian provided deep context, technical explanations, and structural blueprints directly within Fergus' native task management software. This ongoing knowledge exchange empowered internal developers to confidently manage and maintain their optimized MySQL environment moving forward.
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