Treblle enables Autopix to achieve a 247% increase in ROI

Autopix, a leading image editing platform, leveraged Treblle's API Intelligence Platform to streamline operations, boost uptime, and achieve a 247% ROI.

About

Autopix is a platform that allows customers to get professional image editing quickly, processing 10TB of images per year. The platform consists of a website, a native iOS application and an Android application.

Industry

IT Services and IT Consulting

Company Size

50 - 200

Headquarters

Oslo, Norway

Founded

2010

“For me, Treblle equals peace of mind and also the insights that we need to run an efficient business with a high uptime and satisfying customers that we worked so hard to get over so many years.”

Erlend Bakke

CEO, Autopix

The Challenge

Undetected APIs, Struggling to Enhance Team Productivity and Scale

Hidden APIs and Low Usage Visibility

Tracking API usage and identifying bottlenecks was a manual and time-consuming process.

Finding and Resolving Bugs

Troubleshooting API issues was often slow and inefficient, further hindering developer productivity.

Unmonitored API Health and Security Gaps

Lack of API Governance and security visibility left APIs vulnerable to performance issues, misconfigurations, and undetected threats.

10xFaster Debugging

99.9%API Uptime

247%Increased ROI in 6 months

Solution

API Visibility, Boosted Productivity, and Enabled Scalability

By using Treblle, the Autopix team gained API visibility, increased developer productivity, reduced downtime, and enhanced scalability. They used Treblle's API Intelligence, API Governance, API Documentation, and API Security features to achieve a 247% ROI increase through cost avoidance and productivity savings.

By experiencing 1.5 fewer downtime events per year, Autopix saved around $70,861.88. Additionally, improved developer productivity contributed to annual savings of approximately $3,448.61.

API Intelligence

API Documentation

API Governance

API Security

“Before Treblle, we were flying blind. We had no real way to measure the quality of our APIs or know if something was going wrong until it reached the user.”