Journey latency
Percentiles for nominated user and API paths, with application time separated from dependency wait. Owns release and capacity conversations.
Signal Atlas
A thematic map of the cloud performance signals we keep—and the ones we leave behind—during analytics engagements.
App analytics for cloud performance monitoring fails when every metric claims equal importance. The Signal Atlas is how we explain trade-offs before instrumentation expands: which questions belong to latency, which to saturation, and which only matter once you serve more than one region.
Use it as a briefing aid with your platform and product partners. When you are ready for a scoped reading of your own stack, request a Latency Baseline Audit or another service from the catalogue.
Bring your journeys
We apply the atlas to the applications you nominate—never as a generic dashboard template.
How the atlas is read
Four layers. Each layer answers one decision. If a signal cannot name its decision, it does not enter the standing set.
Saturation precursors
Queue depth, worker exhaustion, and cache-miss spikes that move before customers complain. Owns on-call first actions.
Budget burn
Latency and error interactions that consume reliability spend fastest. Owns whether to harden, shed load, or renegotiate a dependency.
Regional variance
Same journey, different geography—edge versus origin contribution made explicit. Owns multi-region investment debates.
What we deliberately omit
Vanity uptime tiles without journey context, host-level charts that never changed a release decision, and identical regional boards that only prove colours differ. If you need those elsewhere, keep them—just do not let them crowd the performance conversation.