Forecast
Predictive service monitoring
Track service health through current signals and forecasted risk so teams can act before reliability issues escalate.
Features
Capabilities for proactive, trust-aware monitoring.
eazeTrace combines service-first monitoring, forecast confidence, signal discovery, and reason-code visibility so teams can move from reactive review to better operational decisions.
Built forDashboards to decisions
Features stay focused on what teams can review and act on.
SurfaceRisk with context
Current signals, forecast posture, and reason codes stay connected.
WorkspaceTeam-ready access
Support reliability workflows with shared product context.
Model qualification
A model earns its place before it can shape a forecast.
QualifiedEligible for trust-aware forecasting
- Eligible for trust
- Yes
- Qualified models
- 2 of 3
- Trust mode
- Multiple qualified models
Key capabilities
Everything is organized around service risk and confidence before action.
Eligibility
Model qualification
Evaluate whether trained models are suitable enough for the modeled signal before they influence a forecast, so training success alone does not make a model trusted.
Trust
Trust-aware forecasts
See confidence and decision posture beside forecasts built from qualified models, so teams know when to accept, question, or suppress them.
Discover
Signal discovery
Find important operational patterns and turn them into clear monitored signals for the workspace.
Errors
Error intelligence
Understand error trends, categories, and risk patterns that influence service reliability decisions.
Guided
Model-guided monitoring setup
Use guided configuration to define forecast targets, supporting signals, and thresholds that match team workflows.
Suppression
Forecast confidence and suppression
Keep unreliable predictions out of action queues until signal quality and confidence support operational use.
Reasons
Reason-code visibility
Show why a forecast was accepted, questioned, or suppressed so teams can review decisions with context.
Workspace
Workspace user management
Manage workspace users so administrators and reliability teams can collaborate around monitored services.
Scoped
Service and API scoped views
Focus reviews around a service and narrow into API behavior when teams need a more precise risk view.
Clear views
Current vs forecasted separation
Keep observed behavior and likely next behavior visually distinct so teams do not confuse fact with forecast.
Workspace collaboration
Reliability work needs shared context.
A workspace for the full monitoring decision loop
eazeTrace helps teams move from signal setup to forecast review to trust-aware action without scattering context across disconnected tools.
Administrators create a workspace and manage team access.
Reliability teams review service health, error patterns, and forecasts together.
Trust context stays visible so predictions do not become unreviewed assumptions.
Start with a workspace
Create your eazeTrace workspace
Create a workspace and start shaping service signals into forecast-ready, trust-aware monitoring workflows.