ELK Stack & Search
Elasticsearch, Logstash and Kibana for logs, metrics and advanced search. From gigabytes of scattered data to answers in milliseconds.
The challenge
When something fails at 3 a.m., the difference between minutes and hours is having all logs centralised and searchable.
Simplify
We centralise Odoo, PostgreSQL and web logs in a single point
From scattered gigabytes to answers in milliseconds
Elasticsearch indices optimised for search
Automate
Ingestion with Filebeat, Logstash or Fluentd and Odoo log parsing
Kibana dashboards: errors by module and slow queries
Alerts on error rates and anomalous patterns
Scale
Index lifecycle management (ILM) for cost control
SIEM integration (Wazuh) for event correlation
Docker Compose, dashboards and retention policies
Stack and technologies
Frequently asked questions
How many resources does it need?
The ELK stack is memory-intensive; at least 4 GB is recommended for Elasticsearch in production. Sizing is tuned to your log volume.
Is it useful for security too?
Yes: with SIEM integration and anomaly alerts, ELK is a key piece for auditing and detecting security incidents.
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