WEBINAR on JULY 14 | Honeycomb + Embrace: How to Close the Gap Between Frontend Experience & Backend Truth

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Embrace MCP Server is now GA

The larger AI landscape moves ever faster, and the same is true for innovation at Embrace. We launched the Embrace MCP Server in beta just over a month ago, and the feedback from customers has been incredible. We love hearing about all the different ways you’re incorporating Embrace data into your AI workflows, so keep that feedback coming!
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Auto-instrumentation now available for screen rendering
To understand how quickly end users can interact with your application screens, you can use spans and traces around key rendering events. Now, Embrace is making it easier than ever to do so by providing automatic instrumentation for screen rendering and interactivity, available for both Android and iOS.
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In love with OTel and observability panel recap
Watch this OpenTelemetry expert panel to learn about the most loved (and hated) parts of everyone’s favorite observability framework. And to play “Fling, Marry, Kill” with logs, metrics, and traces.
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Introducing enhanced alerting with new, delayed data views
Mobile telemetry is often delayed in reaching the servers, and your observability tooling. This can impact how alerts are interpreted, making it harder to see the real picture of your app's performance at any given time. Embrace's new enhanced alerting visualizations with delayed data are now here to help solve this issue.
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Building a mobile SLO with Embrace and Grafana
Engineering teams use mobile SLOs to monitor user flows and ensure user-impacting issues are detected and resolved quickly. In this tutorial, we'll show you how to use Embrace, in combination with Grafana, to build and monitor mobile SLO for your app – from initial app instrumentation, all the way to connecting to backend dashboards and alerts.
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