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molesignal
Solutions

Start with the operational problem.

Different teams arrive through different pain: a slow incident, a growing bill, a fragile OSS stack, or a platform that cannot safely serve more teams.

01 · Detect

A real-time or scheduled rule fires

Start from the signal that changed, with its organization, service, and time range already attached.

02 · Localize

Open the service path and trace

Move from the metric spike to error-first traces and the span that consumed the latency budget.

03 · Explain

Inspect the logs in the same window

Query correlated events with the trace and time anchor prefilled instead of copying IDs between products.

continuous investigation
1
storage model
S3 economics
tenant isolation
planner-level
current maturity
pre-1.0

The differentiated workflow

Follow the failure, not a trail of copied IDs.

The investigation stack keeps each drill-down as a frame, so operators can move forward and back without reconstructing the incident.

  1. 101 · Detect

    A real-time or scheduled rule fires

    Start from the signal that changed, with its organization, service, and time range already attached.

  2. 202 · Localize

    Open the service path and trace

    Move from the metric spike to error-first traces and the span that consumed the latency budget.

  3. 303 · Explain

    Inspect the logs in the same window

    Query correlated events with the trace and time anchor prefilled instead of copying IDs between products.

  4. 404 · Act

    Acknowledge, route, and resolve

    Use escalation policies, rotations, and notification channels while the complete investigation stays available.

proof / shipped

No solution-specific data silos.

Cost, investigation, and platform controls all operate on the same telemetry plane. Teams do not need another copy of the data to unlock a new workflow.

  • 1 · continuous investigation
  • S3 economics · storage model
  • planner-level · tenant isolation
  • pre-1.0 · current maturity
pre-1.0 · building in the open

Use your own incident as the evaluation.

Load sample data in seconds, then repeat the workflow with a real service and the fields your team already depends on.