Case Studies
How RadixTrie helped stabilise PostgreSQL performance
When Monday morning reporting became slow and unstable, RadixTrie helped uncover the real cause hiding beneath averaged system metrics. By introducing higher resolution monitoring, the team identified storage I/O saturation and helped the customer restore consistent PostgreSQL performance.
By RadixTrie3 September 20262 min read
Monday mornings were becoming a problem.
A customer’s PostgreSQL environment was not coping with report processing. SQL was running slowly, the system was unstable, and end users were feeling the impact.
The challenge was not just the performance issue.
It was finding the real cause.
The problem
The customer’s existing operating system metrics were too broad to give a clear answer.
The data was averaged over longer intervals, sometimes 1 minute and sometimes up to 10 minutes. That made the environment look healthier than it really was.
Important performance spikes were being smoothed out.
In other words, the issue was there, but the data was hiding it.
What RadixTrie did
RadixTrie introduced more detailed OS level monitoring.
The key change was collecting iostat metrics at a 4 second interval.
That gave the team a much clearer view of what was happening during the periods of instability.
What the data revealed
The storage subsystem was under pressure.
The finer grained metrics showed sustained I/O saturation on the storage array. The issue became even worse during periodic VMware backup operations.
This explained the slow SQL execution, system instability and poor user experience.
Why it mattered
The new data changed the conversation.
Instead of guessing, RadixTrie could bring clear evidence to the OS team, storage team and application owners.
That created alignment across teams and helped everyone focus on the actual root cause.
The outcome
The customer moved the workload to a higher tier storage array.
The result was a more stable PostgreSQL environment, more consistent SQL runtimes and better support for the customer’s required Recovery Point Objectives.
The takeaway
Sometimes the problem is not the database alone.
Sometimes the real issue is hidden in the layers around it.
With the right monitoring, the right expertise and the right questions, performance problems become much easier to understand and resolve.
TAGSPostgreSQLDatabase PerformancePerformance StabilisationI/O Monitoring, Storage OptimisationDatabase SupportRoot Cause AnalysisRecovery Point ObjectivesManaged Database Services