Key Highlights
- OptiSol partnered with a leading cinema group in North America to enhance system performance and stability during peak traffic events.
- The initiative focused on resolving critical performance issues in the booking engine that led to crashes during major movie releases.
- Over 1,400 PostgreSQL database components were refactored and optimized for better query efficiency and resource utilization.
- A simulated real-world load test strategy was implemented to validate readiness for high-traffic events using tools like InfluxDB and Grafana.
Problem Statement
01
Peak-Time Failures: The client’s integrated POS and booking system frequently crashed during blockbuster movie releases due to performance limitations.
02
Database Bottlenecks: Existing PostgreSQL components contained inefficient indexing, redundant objects, and complex views that slowed down query response.
03
Monitoring Gaps: Lack of real-time visibility into performance metrics made it difficult to identify root causes of latency or failure under load.
04
User Experience Impact: Frequent booking disruptions during high-demand periods affected customer satisfaction and revenue potential.
Solution Overview
01
Optisol refactored over 1,400 PostgreSQL objects including tables, views, indexes, functions, and triggers for performance, maintainability, and scalability.
02
Simulated real-world traffic scenarios (up to 10x current load) using JMeter and iBEAM accelerators to assess system behavior.
03
Introduced workload-aware indexing strategies and removed redundant structures, enhancing transaction speed and lowering response times.
04
Deployed InfluxDB and Grafana for real-time performance monitoring, with threshold-based alerts for proactive tuning and incident avoidance.
05
Performed long-duration and sudden-traffic-spike simulations to validate performance under varying load patterns without system failure.
Business Impact
About The Project
This case study showcases how OptiSol enabled a major player in the cinema and entertainment industry to overcome performance limitations that impacted their ticketing systems during high-traffic movie releases.
The project focused on optimizing over 1,400 PostgreSQL database components, combined with rigorous performance testing and observability enhancements. The initiative ensured system readiness, fast recovery, and long-term stability aligned with the cinema chain’s customer engagement goals.
FAQs:
Was the system tested under extreme conditions?
Yes, stress, spike, and endurance testing simulated up to 10x peak load to ensure stability under all possible traffic patterns.
How was observability improved?
Real-time dashboards and alerts were introduced to proactively identify slow queries, resource spikes, and long-running transactions.
Was any downtime required during the rollout?
No significant downtime occurred. Phased rollouts and rollback scripts ensured safe deployments.
What was the long-term benefit?
The client now has a high-performing, resilient system capable of handling ticketing loads during blockbuster releases without interruptions.
How long did the optimization process take?
The effort was estimated at 320 hours, equally divided between database tuning and performance testing phases.
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