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When shipping APIs, having access to logs and metrics is crucial to understand API usage and troubleshoot issues. However, I've found that most monitoring tools bury these in bloated dashboards that are a pain to use.
That's why I built Apitally, a simple API monitoring and analytics tool for Echo that focuses on what actually matters for APIs:
Usage metrics (per endpoint and consumer)
Error tracking (with stack traces)
Performance monitoring
Request logs + correlated application logs
Uptime monitoring + alerts with Slack/Teams notifications
Apitally's open-source SDK integrates with Echo via a lightweight middleware, which captures key metrics for all API requests & responses, aggregates them and asynchronously ships them to Apitally in regular intervals, without affecting performance.
Setup is super easy. You just add a few lines of code to your app ⬇️
import ( apitally "github.com/apitally/apitally-go/echo""github.com/labstack/echo/v4" ) funcmain() { e:=echo.New() config:=&apitally.Config{ ClientId: "your-client-id", Env: "dev", // or "prod" etc. } e.Use(apitally.Middleware(e, config)) // ... rest of your code ... }
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Hey Echo community,
When shipping APIs, having access to logs and metrics is crucial to understand API usage and troubleshoot issues. However, I've found that most monitoring tools bury these in bloated dashboards that are a pain to use.
That's why I built Apitally, a simple API monitoring and analytics tool for Echo that focuses on what actually matters for APIs:
Apitally's open-source SDK integrates with Echo via a lightweight middleware, which captures key metrics for all API requests & responses, aggregates them and asynchronously ships them to Apitally in regular intervals, without affecting performance.
Setup is super easy. You just add a few lines of code to your app ⬇️
If you'd like to try it out, there's a setup guide for Echo.
Screenshot of the Apitally dashboard ⬇️
Please let me know what you think!
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