The operational problem
Production teams need fast answers about whether an issue is ongoing, degrading, or resolved, but logs and metrics are often scattered across systems and environments.
What changes for the service
A monitoring assistant collects logs and metrics, correlates them with existing monitoring signals, evaluates health status, and exposes consistent decision-ready summaries.
How it works in the service
Inside the service
A consistent health layer runs across the existing infrastructure and monitoring tools, so operations teams get one answer to “is this degrading, ongoing, or resolved” instead of five partial ones. It is built for landscapes that keep changing, where hard-coded paths and manual checks stop scaling.
Why it is delivered this way
Monitoring is extended, not replaced. RED Reply operates the collection and health model as part of the service so the standardized status can be reused by dashboards, tickets, and root-cause work across the whole managed estate.
Accountable delivery
This capability is not sold as a product. RED Reply operates it as part of a managed service, with named service roles responsible for quality, escalation, and outcomes. Automated steps are scoped, logged, and reversible, and the actions that change a system or reach a customer stay under human control.
What it uses and produces
Inputs
- Container logs
- Linux logs
- Zabbix metrics
- Application status signals
- Environment metadata
Outputs
- Near-real-time health status
- Polling cycle status
- Signal correlation
- Operational summaries
- Decision-ready incident context
Integrations
- Zabbix
- Container platforms
- Linux hosts
- Digital Twin view
- Monitoring APIs
How it is built
The pattern integrates with existing monitoring rather than replacing it, using collectors, polling cycles, health scoring, and a common presentation model.
