Observability teams often ask why we don’t show monolithic traces for issues like slow startups. While they theoretically reveal all services involved, they’re hard to interpret, and distract from what’s critical: the mobile experience context.
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!
Answering your most complex questions about issues affecting yours users is now faster and easier. KPI, gauge, pie chart, and bar chart widgets now support multiple queries and custom formulas.
If you want to get the attention of non-technical stakeholders, these are the three most powerful charts to immediately grab folks' interest and get them to care about site speed and user experience.
Contribution continues Embrace’s investment in vendor-agnostic, open-source instrumentation in frontend and mobile by extending support to Kotlin and Kotlin Multiplatform
With Network Spans Forwarding in Embrace, you're only a click away from connecting client-side network requests to your backend observability platforms.
