Managing multi-database performance with DBmarlin
Managing database infrastructure is a delicate balance between performance, cost, and scalability. This blog post explores the complexities of multi-database performance and how DBmarlin can help manage and optimise this setup effectively.
The problem
In environments with numerous applications or services, each one may have its own database. While this approach protects against poorly optimised queries affecting multiple services, it results in substantial infrastructure costs. Consolidating these databases into fewer clusters, which are shared across multiple applications, could reduce the overall infrastructure costs but may face resistance due to concerns from application owners that their performance or scalability could be impacted by other applications outside their control.
Challenges of consolidation
Here are some of the challenges with consolidation and how you can overcome them.
Runaway queries:
Resource contention:
Complexity in management:
Organisational resistance:
Steps to successful consolidation
Here are some stops which will help get a successful result from a database consolidation project.
Pilot project:
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Resource allocation and monitoring:
Query optimization:
Automated backups and restores:
How DBmarlin can help
DBmarlin provides several features that can facilitate the management and optimisation of a consolidated database infrastructure:
Comprehensive monitoring:
Query analytics:
Automated alerts and recommendations:
Historical data analysis:
Conclusion
Consolidating multiple databases into fewer clusters can significantly reduce infrastructure costs while maintaining performance and reliability. By starting with a pilot project, implementing robust monitoring and optimisation practices, and leveraging DBmarlin’s powerful features, you can successfully manage and optimise a consolidated database infrastructure.