Search production logs by service, level, request, environment, and time while keeping latency and error context close. The screen connects Live tail and Search so platform and engineering teams can find the “Run search” action while checking events/min and errors.
Use this reference when you need to design this workflow inside an existing product. The example includes practical records such as api-gateway · 42% and worker · 24%, rather than an empty visual shell.

Analytics
Run search
Analytics
Default, loading, empty, error, permission, success
Adaptable product UI theme
Platform and engineering teams need a clear “Run search” action without losing sight of events/min, errors and the affected records. Keep the decision and its outcome clear before moving to the next task.
Live tail → Search → Run search → Review outcome
Analytics, Live tail, Search, Saved, accessible states, contextual actions
Make time ranges, filters and metric units clear. Show the data behind each trend so readers can test what changed.
In this design, people should be able to compare api-gateway · 42% with worker · 24%. Make events/min clear, then use errors to explain whether the next step needs attention.
Before handing this to a designer or engineer, check keyboard focus, error copy, permissions and what happens after they choose the “Run search” action. The happy path alone is not enough.
Related UI examples: Deployment Console, Feature Flags, API Dashboard.
Design a logs explorer screen for our existing software product. Use our real design-system tokens, components and product language. Show Live tail and Search, include believable records such as api-gateway · 42%, and make run search easy to find. Map loading, empty, failure, permission and success states before you create editable high-fidelity screens.