Your Legacy Database Is Holding You Back. Break Free Without Breaking It.

Note: This is a use case example demonstrating how Rediacc can solve this problem. As a startup, these scenarios represent potential applications rather than completed case studies.

Crisis Scenario: Despite scaling servers 10 times with Kubernetes, performance only improved 2 times. Customers complained about slow query times, costs increased without satisfactory results, and reputation was at risk.

The Problem

The company’s services in the cloud environment were struggling to respond. As a solution, the software team:

  • Performed horizontal scaling with Kubernetes and increased the number of servers 10 times
  • However, performance improved only 2 times

Bottleneck Detection:

  • It was understood that the source of the problem was a legacy database that cannot be scaled
  • The database could not work in a distributed manner like in modern architectures

Dilemma:

  • Migrating to a modern database could take years → It required rewriting code, data migration, and testing processes
  • Cost and time loss were unacceptable

Crisis Impact

  • Customers are complaining due to slow query times
  • Server costs are increasing, but performance is not satisfactory
  • Risk of reputation loss increases in a competitive market

Rediacc Solution

System engineer Yüksel, using Rediacc’s cross-backup feature:

Legacy DB Scaling

1. Real-time Data Replication

  • Changes in the legacy database were transferred to other servers at 10-15 minute intervals
  • Only changed data was synchronized → Bandwidth consumption reduced by 95%

2. Query Distribution

  • Read queries were distributed to multiple machines
  • Write operations were kept in the main database to ensure consistency

3. Cost-Free Scaling

  • The legacy system was supported with additional servers without being changed
  • No need for new hardware acquisition → Cloud servers were rented hourly for cost optimization

Result

Performance Increase:

  • Query times were reduced from 55 seconds to 7 seconds
  • System capacity increased 8 times

Cost Control:

  • Savings from rewriting the legacy system → Financial resources were preserved

Time Gain:

  • The solution was implemented within 3 weeks
  • Customer complaints were resolved by 99.99% (depending on update ratio of the total data between snapshots)