Case Study: AppOmni achieves better performance, lower cloud costs, and faster delivery with Elastic Observability

AppOmni is Minimizing Operational Risk with Elastic Observability's Universal Profiling

AppOmni, a cloud security and management platform, needed better visibility into the performance and operational risks of its SaaS security services as it processed billions of customer events each day. To keep customer experiences seamless while minimizing disruptions, AppOmni turned to Elastic Observability’s Universal Profiling for continuous production monitoring, code optimization, and release validation.

Using Elastic, AppOmni gained end-to-end visibility across applications, microservices, and infrastructure to find bottlenecks, improve Python and Go code, and optimize cloud resources on Google Kubernetes Engine. The results included faster event processing, improved scalability and responsiveness, accelerated product delivery, and reduced cloud costs and carbon footprint.

AppOmni

Drew Gatchell

Director, Detection Engineering