Healthcare Inventory Management Platform

Reducing infrastructure costs for a high volume API

A company running an inventory platform for healthcare facilities saw unpredictable API response spikes driving up costs and complaints. Ollon monitored logs and metrics daily through Azure Application Insights, tracing performance issues to their source. Response times have improved, spikes are less frequent, and the platform now runs on fewer server nodes than before.

Situation

A company running an inventory management platform for healthcare facilities was processing enough traffic that performance problems translated directly into high infrastructure costs. Their API had been experiencing unpredictable response time spikes and periods of instability that were directly impacting the facilities relying on the system. With complaints from end users increasing, they brought in outside support to diagnose and address the issues.

Solution

Ollon used Azure and Azure Application Insights to monitor logs and metrics daily, identifying sources of performance degradation and passing targeted recommendations to the appropriate teams. The distributed nature of the system meant issues surfaced continuously, and the engagement evolved into an ongoing collaborative effort to keep performance stable.

Results

API response times have improved across the board and the frequency of severe performance spikes has been reduced, with fewer server nodes now required to run the system. Ollon continues to monitor the platform, maintaining stability as the team works through issues as they arise. Current work includes evaluating custom logging and monitoring solutions that would further reduce infrastructure costs and allow potential issues to be caught earlier.

Technologies

Azure, Azure Application Insights

Our Expertise in Action

Fractional DevOps Support

A surgical inventory platform used by centers across the country runs a distributed, high traffic API that needed ongoing expert monitoring. Ollon set up daily monitoring of logs and metrics through Azure Application Insights, passing targeted recommendations to the teams responsible for acting on them. As new issues kept surfacing across the distributed system, the engagement grew into an ongoing collaborative arrangement that has stayed in place since. The platform is more stable today, with Ollon watching it continuously and flagging issues as they come up.

Performance Optimization

A surgical inventory platform's high volume API had grown expensive and unpredictable to run, with performance dips forcing costly server scaling. Ollon traced the sources of performance degradation across the distributed system and made targeted changes to address them. Response times improved across the board, severe performance spikes became less frequent, and the platform now runs on fewer server nodes than before. The work continues, with the team currently evaluating custom logging and monitoring that would cut infrastructure costs further and catch problems earlier.

Azure

A surgical inventory platform runs a high volume API where even small performance dips can force costly server scaling. Ollon monitors the system through Azure Application Insights, tracing performance issues back to their source using only logs and metrics, since there is no direct access to the client's source code or database. That visibility lets Ollon hand off targeted findings to the teams who can act at the code or database level, and the team is now evaluating custom logging and monitoring solutions that could catch problems earlier while cutting monitoring costs.