---
title: "API Observability: See What Your Services Are Doing | Speedscale"
description: "Shine a spotlight on your API-driven applications with Speedscale's advanced observability features. Troubleshoot faster and uncover critical blindspots."
canonical: "https://speedscale.com/features/api-observability/"
---

## API Observability for Microservices and AI-Assisted Development

*   Troubleshoot faster with payload-level visibility
    
*   Uncover blindspots and unusual behavior quickly
    
*   Map dependencies with inbound/outbound insight
    

![Traffic capture for OpenAI APIs](https://speedscale.com/images/screenshots/capture-openai.png)

## Take observability to the next level

Traditional observability solutions tell you _when_ and _where_ a problem might be occurring in your API. But only Speedscale can tell you _why_ it happened. Speedscale captures Traffic Context—full request/response payloads, headers, and timing—so you can get to root cause faster and with a higher degree of certainty.

### Troubleshoot faster

Diagnose root causes by inspecting transaction details, payloads, headers, and Kubernetes metadata.

### Uncover blindspots

See exactly what users do, not just endpoints they hit, to detect unusual behavior quickly.

### Map dependencies

Automatically detect inbound and outbound transactions for real-time dependency mapping.

### Save costs

Monitor non-prod environments at a fraction of the cost of traditional tools.

## Real-life issues detected with Speedscale

### Health Check Bug

A national home improvement retailer found a bug in their staging environment that was **repeatedly "health checking" an API hundreds of times per second.** Had it been deployed to production, it would have likely caused an outage.

### Cost Savings

A fast food restaurant chain saved several thousand dollars on cloud costs by identifying and fixing five-year-old code that had been **polling an API 8 times per second.**

### Security Risk

A mobile phone provider noticed that one of their **test environments was connected to a production database**. This could have led to data corruption or GDPR violations.

## Prevent data loss and protect PII

*   Redact sensitive data and PII on the fly
    
*   Anonymize traffic while preserving structure
    
*   [Read the DLP guide →](https://docs.speedscale.com/guides/dlp/)

![Data privacy and DLP masking](https://speedscale.com/images/screenshots/capture-dlp.png)

## Customer Success Story

### Cimpress finds hidden issues in their app, thanks to Speedscale

> "In one instance, I noticed that there was a small amount of traffic that had been causing some failures in our system. It was only happening 3% of the time, but it was still somehow critical to how it all worked. So, I went in and fixed it, but I wouldn't have found that issue had I not seen it in Speedscale."

![Jeff Kwan](https://speedscale.com/images/customers/jeff-kwan.jpeg)

Jeff Kwan

Principal Software Engineer, Cimpress

[Read the full case study](https://speedscale.com/customers/cimpress)

## Related Resources

[

Blog

### Traffic Viewer For API Visibility In Kubernetes Clusters

Learn about Speedscale's new software release for enhanced API visibility.

](https://speedscale.com/blog/speedscale-announces-new-software-release-traffic-viewer-for-api-visibility-in-kubernetes-clusters/)[

Blog

### REST API observability for Python

Discover how to implement API observability in Python applications.

](https://speedscale.com/blog/rest-api-observability-for-python/)[

Blog

### Using Open Source For API Observability

Explore open source tools and techniques for API observability.

](https://speedscale.com/blog/api-observability-using-open-source/)

## Ready to illuminate your APIs?

Start using Speedscale's API observability features to troubleshoot faster and uncover critical issues.

[Get Started](https://app.speedscale.com/signup) [Schedule a Demo](https://speedscale.com/company/demo/)