Client: A Leading Private Sector Bank
Industry: Banking and Financial Services
Service Provided: MySQL GTID Replication Implementation
Company: Simple Logic
Location: India
Overview
In the banking sector, uninterrupted access to data is crucial. One of India’s prominent private banks faced reliability and availability challenges with their core banking system. They needed a robust disaster recovery (DR) mechanism to prevent service downtime and ensure real-time data consistency across systems. Simple Logic implemented MySQL GTID (Global Transaction Identifier) Replication, significantly enhancing their database’s fault tolerance and availability.
Objectives
Ensure high availability of the core banking database.
Set up a disaster recovery environment with minimal failover time.
Maintain transaction integrity and data consistency across all replicas.
Enable automatic failover to minimize manual intervention during outages.
Challenges
The bank’s existing replication setup lacked transactional consistency.
Manual failover was time-consuming and error-prone.
Data loss during replication lag was a serious risk.
No GTID mechanism in place made point-in-time recovery difficult.
Our Solution: MySQL GTID-Based Replication
Simple Logic designed and implemented a GTID-based replication topology tailored to the bank’s architecture. Our approach included:
1. Assessment & Planning
Audited the current MySQL architecture and backup processes.
Identified pain points in the replication and DR strategy.
2. Architecture Design
Designed a multi-tiered replication strategy using MySQL GTID.
Configured master-slave replication between primary and DR sites.
Integrated semi-synchronous replication to reduce data loss risk.
3. Implementation
Migrated the replication setup to GTID-based replication.
Enabled automated failover using scripts and monitoring tools (like MHA).
Ensured real-time syncing between production and disaster recovery nodes.
4. Testing & Validation
Simulated failover and recovery scenarios.
Conducted DR drills and validated zero data loss during failover.
Tuned replication parameters for optimal performance.
Technology Stack
MySQL 8.x with GTID enabled
MHA (Master High Availability) for automated failover
Custom shell scripts for monitoring and alerts
Linux-based HA infrastructure
Results
| Metric | Before GTID | After GTID Implementation |
|---|---|---|
| Failover Time | ~25-30 minutes | < 1 minute |
| Data Loss During Failover | Possible transaction loss | Zero Data Loss |
| Manual Intervention Needed | High | Minimal |
| DR Drill Success Rate | 40% | 100% |
| Replication Lag | Unpredictable | Near-Zero |
99.99% uptime achieved for core banking operations.
Improved customer trust with uninterrupted access to banking services.
Reduced operational costs by automating manual failover processes.
Enhanced regulatory compliance with robust DR and recovery planning.
Conclusion
Through deep domain expertise and strong technical execution, Simple Logic successfully delivered a future-proof, scalable, and highly reliable disaster recovery setup using MySQL GTID Replication. The bank now benefits from consistent data availability, faster failover, and reduced risk—all critical in the highly regulated banking sector.
[snippet case-study Name=”Implemented MySQL GTID Replication for Disaster Recovery to Ensure Bank Database Reliability and Availability”
