Observability and Log Management

Observability: seeing what cannot be seen

Observability goes beyond traditional monitoring: it allows you to understand the internal behaviour of a system from its external outputs (metrics, logs and traces). With a mature observability strategy, teams detect issues before they impact the end user and resolve incidents in minutes, not hours.

• The three pillars: metrics, logs and distributed traces
• ELK / OpenSearch stack for log aggregation and search
• Prometheus + Grafana for real-time metrics and dashboards
• Distributed traces with Jaeger or OpenTelemetry
• Intelligent alerting with noise reduction and event correlation
• SLI/SLO dashboards oriented to the business
• DORA metrics

Applied to Odoo

Odoo generates structured logs, worker metrics and business events that, when properly instrumented, allow you to detect bottlenecks, slow queries and errors before the user reports them. An observability stack for Odoo covers infrastructure, application and business.

• Odoo log collection with Filebeat and forwarding to the ELK stack
• Worker, thread and memory metrics via Prometheus + Grafana
• Alerts on 500 errors, response times and slow queries
• HTTP request traces with processing time per controller
• Business KPI dashboard: orders/hour, pending invoices, leads
• Correlation of infrastructure incidents with business events

Logs are Odoo's memory

They contain every error, warning and performance information. A good logging policy lets you detect errors without reproducing them manually.

Observability: seeing what cannot be seen

Observability goes beyond traditional monitoring: it allows you to understand the internal behaviour of a system from its external outputs. With a mature observability strategy, teams detect issues before they impact the end user and resolve incidents in minutes, not hours.

• The three pillars: metrics, logs and distributed traces
• ELK or OpenSearch stack for log aggregation and search
• Prometheus and Grafana for real-time metrics and dashboards
• Distributed traces with Jaeger or OpenTelemetry
• Intelligent alerting with noise reduction and event correlation
• SLI/SLO dashboards oriented to the business

Applied to Odoo

Odoo generates structured logs, worker metrics and business events that, when properly instrumented, allow you to detect bottlenecks, slow queries and errors before the user reports them. An observability stack for Odoo covers infrastructure, application and business.

• Odoo log collection with Filebeat and forwarding to the ELK stack
• Worker, thread and memory metrics via Prometheus and Grafana
• Alerts on 500 errors, response times and slow queries
• HTTP request traces with processing time per controller
• Business KPI dashboard: orders per hour, pending invoices, leads
• Correlation of infrastructure incidents with business events