Services, hosts, and deploys in one place — error and latency movement linked to the change behind it, with the blast radius already drawn.
APM suites bolt data and AI on as afterthoughts. byteshift starts connected, so a service regression links to the deploy that shipped it and everything it touches downstream.
OTLP-native logs, traces, and metrics — no proprietary agent. Purpose-built views surface open incidents and the actions that matter, not a wall of charts you have to read.
A checkout-api error rate that jumps right after the 15:14 deploy shows up anchored to that deploy, with the error delta and a 30-minute window as evidence — and a rollback one step away.
byteshift walks your dependencies backwards, so an incident carries the services, tables, and agents it actually affects — severity scored by what’s downstream, not by the alert alone.
A service degradation, the data it stops feeding, the agent that starts failing, and the spend it runs up arrive as one incident with root cause at the top — not four alerts you stitch together at 3am.
Infrastructure is one domain among several. The others — data, AI, cost, security — connect to it automatically.
POST /v1/traces is the whole onboarding. Send OTLP and your services appear as entities — no pre-registration, no schema to design.