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Database Management & Optimization

Explore our SQL and AWS solutions—designed to optimize performance, enable dynamic scalability, and simplify backups for enhanced reliability and growth readiness.

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Challenges with slow database performance and scalability

Client experiences challenges with its existing database setup:

The SQL database struggles to handle increasing traffic during peak sales periods, resulting in slow performance and occasional downtime.

Scalability is limited due to the on-premises infrastructure, making it difficult to support the company’s rapid growth.

Backup and recovery processes are cumbersome, risking potential data loss.

However, these systems do not communicate with one another, creating inefficiencies.

Challenges

Slow performance, limited scalability, and operational risks hinder growth, compromise customer experience, and expose the business to downtime and data loss.

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1
Migration to AWS

Migration to AWS

  • The SQL database is migrated to an Amazon RDS (Relational Database Service) environment, which offers managed database services.
  • Auto-scaling features ensure the database can dynamically handle traffic spikes during peak sales events.
2
Performance Optimization

Performance Optimization

  • Indexing and query optimization techniques are applied to improve response times for complex queries.
  • Caching is implemented for frequently accessed data, reducing database load.
3
High Availability and Disaster Recovery

High Availability and Disaster Recovery

  • AWS’s multi-AZ (Availability Zone) deployment ensures high availability and minimal downtime.
  • Automated backups and snapshots provide quick recovery options in case of failures.
4
Monitoring and Alerts

Monitoring and Alerts

AWS CloudWatch is set up to monitor database performance metrics and send alerts for potential issues, enabling proactive maintenance.

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