![]() ![]() #Rack app error handling request { get code#Transaction traces identify how long code takes to perform a task, interact with the database, call external APIs, etc.Īfter you’ve identified which part of your slow transactions is causing the bottleneck, take steps to mitigate that slowness. Some monitoring tools automatically capture sample transaction traces or offer the ability to designate critical transactions to monitor. Follow the trace and timings for these transactions.Slow transactions can hold locks in the database, for example, preventing other queries from running. Even if there’s low throughput, slow transactions can still affect the overall performance. Identify the transactions with the slowest average response times.These transactions likely have the highest impact on the app’s overall performance. Identify the transactions that are both time-consuming and have high throughput.Trace transactions in the 99th percentile and for max response times.Refer to the monitoring tool’s documentation to learn how to: Use an add-on like New Relic or another performance monitoring add-on to trace slow transactions. ![]() While the Heroku Dashboard shows some metrics, it doesn’t provide the details required to diagnose which parts of requests take the longest to complete. Identify Slowness in the App Code and External Calls To minimize H12 errors, review and fix slow code and use background jobs. The Heroku router timeout value isn’t configurable. See Request Timeout in Ruby (MRI) for more tips. After crossing the timeout threshold, the gem raises a Rack::TimeoutError exception.
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