7M
Visitors/Mth
120M
API Requests/Mth
60
Developers
100
AWS Instances
Highlights
  • OverOps helps Viator replicate issues locally in their PCI Level One compliant environment.
  • Using OverOps, Viator is able to have a test-driven development approach for legacy code.
  • OverOps allows Viator to cut down time spent debugging by 90%.
  • OverOps alerts on every error in production, allowing the team to fix issues quickly and easily.
Production Monitoring Ecosystem
Steve Rogers
Software Development Director
About the team:

TripAdvisor is the world’s largest online resource and category leader for travel destination activities, reaching over 7 million global travelers per month who are seeking to find, research, and book activities and tours prior to traveling and during their trip.


Key challenges and pain points:

Working in a PCI Level One compliant environment means that it’s nearly impossible to replicate issues locally, and it also limits production access. On top of that, there’s legacy code, when the original developer is long gone and things are being logged just-in-case, that leads to very noisy (and costly) logs. This made identifying, finding and understanding the errors and exceptions a real challenge for us.

Prior to OverOps, once we detected an issue in production, we had to:
1. Roll back the release.
2. Search for the error in the logs and code, where nothing was obvious.
3. Create a new hotfix release with extra logging.
4. release the new version.
5. Wait for replication, which could take days.
6. Get the new verbose logs and roll back the release.
7. Fix the issue.
8. Finally, release the new version.

That process could take days. OverOps reduced that time to minutes, and we have everything we need to reproduce issues straight off the bat.

“Short of attaching a debugger in production, OverOps is the next best thing.”
Example problem that OverOps helped resolve:

We saw a performance degradation following a release. We tried looking through our APM tools, but couldn’t find any obvious elements that might have caused it within the code. Then, we received an email from OverOps that showed many “gets” from a cache failing, so objects were being re-generated.

OverOps then showed us all the variable values across the callstack for that error in production, and enabled us to fix this issue quickly and easily.

Another case was after releasing a major version - We saw a sudden spike of 500 errors on one of our APIs, and our logs were filling up with exceptions. We had to roll back the release, search the logs and code, create a hotfix with extra logging, release the new version and wait for replication. That took 3 days.

Now when we release a version, OverOps alerts us about errors in real time, shows us the variables and lets us easily reproduce and solve the issue. OverOps turned days of work into minutes. Short of attaching a debugger in production, OverOps is the next best thing.

“OverOps turned days of work into minutes”
How are you integrating OverOps with your daily workflow?

OverOps’s email digests alert us on new errors that were detected in our application during the last 24 hours. These emails also notify about specific errors that exceed target volumes that we’ve set up in advance.

With OverOps, we’ve cut down our time spent debugging and troubleshooting by 90%. This enables us to speed up development time and deliver a reliable product, while still offering an excellent user experience.

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