Case Study

Optimising Post-Migration Database Performance for a Leading MSP in Dubai

Key Takeaways:

Reduced average query response time from 3.2s to 0.8s

Cut CPU usage from 85% to 45%

Achieved 99.9% SLA compliance and restored application speed

Resolved post-AWS migration issues without downtime

Opportunity:

A Dubai-based Managed Services Provider recently migrated critical workloads to AWS to enhance scalability and efficiency. However, after migration, the production environment faced serious database performance issues, jeopardising client SLAs and user experience.

Primary challenges included:

Lagging query execution and slow application response
Excessive CPU usage and resource contention
Inconsistent transaction throughput
SLA violations caused by system delays

Key Strategy:

Brilyant executed a database performance tuning engagement, balancing deep diagnostics with real-time remediation – without disrupting live workloads.

Discover and Analyze:

Brilyant used AWS CloudWatch, RDS Insights, and log analysis to pinpoint bottlenecks:

• Inefficient query patterns and missing indexes

• Inadequate instance configurations for workload demands

• Lack of caching and pooling mechanisms

Model:

Optimization Initiatives:

• Refactored slow queries and improved indexing strategies

• Upgraded AWS RDS instance types to optimise I/O, memory, and CPU

• Implemented connection pooling and caching layers for improved throughput

• Established real-time dashboards and APM monitoring tools

• Conducted benchmark testing to validate improvements

Execution Highlights:

• Delivered zero-downtime optimisation during business hours

• Maintained full application uptime throughout the engagement

Execute and Deliver:

Brilyant carried out performance diagnostics, instance tuning, and query optimisation without taking the system offline. Enhancements like connection pooling and caching were implemented in real time, restoring application performance. The client resumed SLA compliance and high availability without impacting production workflows.

The optimisation significantly enhanced database responsiveness and operational efficiency. Brilyant’s cloud-native approach enabled the client to restore SLA performance, reduce infrastructure stress, and ensure a smooth user experience, maximising their AWS investment.

Result:

Brilyant’s cloud-native optimisation restored the client’s database performance to peak levels, ensuring SLA compliance and improving user experience, without downtime. By tuning queries, optimising AWS resources, and introducing caching, the client achieved lasting performance gains and infrastructure efficiency.

To summarise:

Query response time improved from 3.2s to 0.8s
CPU utilisation reduced from 85% to 45%
99.9% SLA compliance restored
Zero downtime during optimisation
Real-time monitoring dashboards implemented for ongoing visibility

Brilyant’s AWS performance tuning empowered the client to sustain high service quality, reduce operational strain, and fully realize the benefits of their cloud migration.