04Capability
Reliability &
observability.
Metrics, logs, and alerting engineered as infrastructure in their own right, with one governing requirement: stay useful during the failures they exist to explain.
Built for
the worst hour.
An observability system must remain useful during the failures it exists to explain. That single requirement drives the whole architecture: where telemetry is stored, which network paths alerts travel, what the dashboards depend on, and how the monitoring system's own health is watched.
A stack that shares every dependency with the systems it observes will go dark in sympathy with them. Independence does not happen by default; it is designed, and then proven by breaking things deliberately.
01
Telemetry architecture
Metrics with Prometheus, visualization with Grafana, and log aggregation with Loki, deployed as an engineered system: collection paths, retention, and storage placement decided against failure scenarios, not just capacity.
System-state visibility across every layer: hardware, power, network fabric, hypervisors, workloads, and the services above them, so questions can be answered from evidence instead of memory.
02
Alerting & alert integrity
Alerting architecture with explicit routing, deduplication, and escalation, engineered so that a silent pipeline is itself a detectable failure. Monitoring the monitoring system is part of the design, not an afterthought.
Alert delivery over independent paths, because notification is the last hop of observability and the easiest one to lose exactly when everything else is failing.
03
Incident reconstruction
Incidents investigated from preserved evidence: what changed, what degraded first, what cascaded, and what the system looked like at each step. Telemetry retention and structure are designed so reconstruction is possible even when part of the stack was down.
The output of an incident is structural: corrected failure domains, new telemetry where blindness was found, and a record future engineers can actually use.
Discipline scope
- PrometheusMetrics collection and evaluation with engineered placement.
- GrafanaVisibility surfaces that stay reachable during incidents.
- LokiLog aggregation engineered alongside metrics, not apart from them.
- Alerting architectureRouting, escalation, and delivery over independent paths.
- Monitoring the monitoringSilent pipeline death converted into a loud event.
- Incident reconstructionEvidence preserved by design, timelines built from data.
Related
Projects
Research
Technology