ci: configure and stabilize CI/CD pipeline

- fix runner configuration issues
- correct workflow labels and execution environment
- resolve dependency issues in pipeline (python deps)
- improve reliability of automation runs
This commit is contained in:
Mateusz Suski
2026-04-29 23:14:14 +00:00
parent 2313efac88
commit fcf305bd70
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# Observability Stack Architecture
## Components
- Filebeat: tails sample and container logs.
- Logstash: receives and processes log events.
- Elasticsearch: stores searchable observability data.
- Kibana: supports log exploration and dashboards.
- Grafana: provides operational dashboards.
- Alert rules: document symptoms, thresholds, and severity.
- Incident simulation: generates controlled failure signals.
## Data Flow
```
Log source -> Filebeat -> Logstash -> Elasticsearch -> Kibana
|
v
Grafana
```
Incident exercises follow this flow:
```
Operator -> incident_simulation.sh -> logs/incident_simulation.log -> Filebeat -> Logstash -> alerts/dashboards
```
## Notes
This is a local demonstration stack, not a production Elasticsearch deployment. A production version would add dedicated nodes, TLS, secret management, retention policies, index lifecycle management, and external alert delivery.