‼️ Crash at 6K QPS (Queries Per Second): The Aurora writer node would fail once traffic spiked beyond 6,000 QPS. This instability risked outages during IPL matches—when user activity was highest.
‼️ Scalability Ceiling on Highest Aurora Tier: Despite using top-tier Aurora infrastructure, Dream11 faced vertical scaling limitations. Aurora instances had hit their peak compute and I/O limits.
‼️ No MySQL-native Scaling Strategy: The system lacked effective horizontal scaling or partitioning strategies aligned with MySQL best practices for large user bases.
‼️ Insufficient 24/7 Database Coverage: Dream11 required hands-on, round-the-clock DBA support to monitor spikes and proactively handle issues during critical game events.
→ Scale for Peak IPL Traffic: Handle 10X load spikes during key moments like team announcements and toss.
→ Zero-Downtime Enhancements: Apply schema and query changes without disrupting the live user experience.
→ Boost Query Performance: Refactor queries and eliminate full-table scans to improve TPS and latency.
→ Round-the-Clock Reliability: Enable 24x7 monitoring with a Remote DBA team for proactive support.
Mydbops consultants were deployed on-site to work closely with Dream11’s engineering team. The audit included slow query log analysis, performance schema inspection, and load testing simulations.
Tables receiving heavy writes were horizontally partitioned based on match/event IDs. This significantly reduced IOPS and improved insert throughput.
Indexing strategy was realigned to actual access patterns. Joins and SELECTs were restructured to avoid temporary tables and reduce latency.
All critical changes were made using online DDL strategies like pt-online-schema-change, ensuring no disruption to end users.
Aurora configurations such as innodb_buffer_pool_size, max_connections, and read/write splitting were optimized to squeeze maximum performance from the writer.
Mydbops deployed a dedicated Remote DBA pod that provided real-time alerts, incident response, and health checks across all critical components.
Dream11 successfully handled over 200,000 transactions per second, during the IPL toss and match start windows—their peak times.
Optimized queries executed significantly faster, reducing CPU and I/O consumption and allowing for smoother user experiences even at high scale.
Post-optimization, no DB crashes were observed—even under IPL match loads. System stability reached an all-time high.
With optimized query execution paths and partitioning, Dream11 got more out of their existing Aurora instances—delaying the need for costlier vertical scaling.
Partitioning also enabled easy archival of old match data, aligning with compliance needs and reducing table bloat.
Thanks to proactive monitoring, all IPL matches were supported without a single unplanned DB incident.
When your platform is expected to perform under the pressure of millions of concurrent users—especially during high-stakes events like the IPL—you need more than just infrastructure. You need expert-led database engineering. Mydbops helped Dream11 scale, stabilize, and thrive during peak demand with Aurora MySQL optimizations, zero-downtime rollouts, and 24x7 expert coverage.
Ready to scale your database like Dream11? Let Mydbops engineer your database for maximum performance and zero disruptions—whether you're expecting 10X traffic surges or need continuous uptime.
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