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Observability

The de facto standard metrics: the Linux estate inside Yocto Vision and the numbers that explain the problems.

FOCUS · THE MEASURED ESTATEExporters, sensible alerts and dashboards that answer: the Linux observed as it should be
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01 · What it is

Observability — Prometheus & Grafana, made clear.

Prometheus and Grafana are observability's open standard: the exporters collect the metrics (node, services, databases), Prometheus stores them and evaluates the rules, Grafana tells their story. Our work is the difference between installing them and using them: alerts that mean something, dashboards that answer questions, and everything inside Yocto Vision.

Exporter
node, DBs, apps: every layer measured with the standard
PromQL
the questions on the numbers: from the symptom to the cause via queries
Grafana
the dashboards that tell: the state readable at a glance
Observability — Prometheus & Grafana
OFFICIAL LINUX BRANDING · OBSERVABILITY
DASHBOARD REALI · GRAFANA · FONTE: GRAFANA LABS
REAL DASHBOARDS · GRAFANA · SOURCE: GRAFANA LABS
02 · How to use it well

The things that make the difference.

The stack

The operational questions'why is it slow?' 'can we hold?'
Exporters
Prometheus & rules
Grafana & alerts
measure · brain · story
Alertmanager → NOCthe signal in the right flow
Yocto Visionthe customer's single picture
Numbers instead of feelings

Alerts with meaning

Thresholds on the service, not on the CPU: the alarm that deserves a wake-up, the rest in the reports.

Dashboards per question

'How is the ERP doing?' has a page: the views built on the real questions.

The right retention

Fine metrics for the troubleshooting, aggregated for the trends: the observability's storage sized.

Inside our service

Your Linux estate in the same dashboards we watch 24/7: open source with an SLA on top.

03 · In depth

Metrics, logs and traces: the open stack

Linux observability composes itself open: Prometheus collects the metrics (node_exporter for the OS, exporters for everything), Grafana visualizes and alerts, Loki aggregates the logs with the same labels (the metric→log correlation in one click), Tempo/Jaeger trace the requests, OpenTelemetry standardizes the instrumentation; the alerting must be designed (symptom-based, not every threshold): few pages that mean something, the rest in dashboards.

  • Prometheus — the scraped metrics with PromQL: the de facto standard
  • Grafana — dashboards and alerts unified: the NOC's panel
  • Loki — the logs with the metrics' labels: the natural correlation
  • OpenTelemetry — the standard instrumentation: no APM lock-in
  • Symptom-based alert — you page on the user symptom, not on every threshold: the noise down
  • Exporter ovunque — databases, queues, hardware: everything measurable
04 · Numbers and lifecycle

The numbers that matter.

0€
the stack's licenses: the investment goes into the project
1
one panel for metrics, logs and traces
-80%
the alerts with the symptom-based design
OTel
the standard: the portable instrumentation
Observability is design, not installation: the right metrics, sensible alerts and dashboards — our NOC lives inside them.
05 · Use cases

Where it really pays off.

Linux estates

The standard monitoring, done well.

Capacity planning

The trends that guide the purchases.

Troubleshooting

The cause in the charts, not in the hypotheses.

What isn't measured gets argued; what's measured gets solved: we measure everything — and we stand watch.