AI case study

PicsartPerformance monitoring

Scattered monitoring across 125+ AI models slowed debugging. Unified telemetry lets teams trace issues from user sessions down to the GPU.

Published|3 weeks ago

Key results

MTTR Reduction
~40-50%
Debugging Time Reduction
~40-50%

Result highlights

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The story

Context

A creative software platform serving hundreds of millions of users with over 125 AI models for generating visual and audio content.

Challenge

Complex CPU and GPU-intensive AI workloads spanned multiple layers, from user interactions to backend model inference. Traditional monitoring lacked...

Solution
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Quotes

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The company

AI creative platform for photo and video editing and digital content generation.

IndustrySoftware & Platforms
LocationMiami, FL, USA
Employees251-1K
Founded2011

The vendor

Observability and security platform for cloud-scale monitoring and analytics.

IndustrySoftware & Platforms
LocationNew York, NY, USA
Employees5K-10K
Founded2010

Use case

Picsart's Performance monitoring is part of this use case:

AI Infrastructure
77 case studies(+108% YoY)
Proven impact?
LowModerateVery Strong
3.6Moderate
2.9Lowwithin Software & Platforms
3.5Moderatewithin Product Engineering

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