Expertise DevOps & Monitoring - Observabilité et automatisation
Surveillez, analysez et optimisez vos applications avec des outils de monitoring de pointe
Monitoring and observability are essential to ensure the reliability and performance of your applications. Without visibility into what is happening in production, you are navigating blindly. Problems are discovered by users rather than by your teams.
Our DevOps approach integrates monitoring from the design stage, not as a layer added after the fact. Metrics, logs, and traces are collected, correlated, and visualized for a complete understanding of your systems' behavior.
We use proven open-source tools (Grafana, Prometheus, Loki) to build professional monitoring solutions without license costs. Intelligent alerting detects anomalies before they impact your users.
Our Monitoring Stack
Grafana - Visualization and Dashboards
Grafana is at the heart of our observability strategy:
- Custom dashboards tailored to your needs
- Real-time metrics visualization
- Multi-source data correlation
- Integrated alerting with Slack, email, SMS
- Annotations and event history
Prometheus - Metrics Collection
Prometheus collects and stores all your metrics:
- System metrics (CPU, RAM, disk, network)
- Custom application metrics
- Docker container metrics
- Automatic service discovery
Loki - Log Aggregation
Loki centralizes all your logs:
- Structured application logs
- System and infrastructure logs
- Powerful search and filtering
- Correlation with Grafana metrics
Monitored Metrics
Infrastructure
- CPU and memory usage
- Disk space and I/O
- Network traffic
- Service availability
Applications
- API response times
- Error rates
- Requests per second
- Core Web Vitals
Databases
- Active connections
- Query execution times
- Size and growth
- PostgreSQL replication
Intelligent Alerting
Our alerting system is designed to avoid alert fatigue:
- Dynamic thresholds based on history
- Progressive alert escalation
- Correlated alert grouping
- Silencing during planned maintenance
Grafana/Prometheus Monitoring Stack
Grafana is at the heart of our observability strategy. Custom dashboards visualize your metrics in real time with graphs, gauges, and tables tailored to your needs. Multi-source correlation allows you to cross-reference metrics, logs, and traces in a unified interface.
Prometheus collects and stores metrics from your systems and applications. Exporters retrieve data from CPU, RAM, disk, network, Docker containers, and application services. Service discovery automatically detects new instances for minimal configuration.
Loki aggregates the logs from all your applications in a unified interface. Powerful search and filtering allow you to quickly find relevant information. Correlation with Grafana metrics links log events to anomalies detected on the graphs.
Monitored Metrics and Intelligent Alerting
Infrastructure metrics cover CPU usage, memory, disk space and I/O, network traffic, and service availability. Application metrics measure API response times, error rates, requests per second, and Core Web Vitals. Database metrics track active connections and query performance.
Intelligent alerting avoids alert fatigue with dynamic thresholds based on history, progressive escalation, and grouping of correlated alerts. Alerts are automatically silenced during scheduled maintenance. You are notified only when action is needed.
Notification channels include email, Slack, Discord, PagerDuty, and custom webhooks. Alerts contain the necessary context for rapid diagnosis: metric graph, associated logs, troubleshooting runbook. Detection and resolution time is minimized.
Reference Architecture and CI/CD Automation
Our typical architecture separates responsibilities: a Coolify server dedicated to management and orchestration, separate application servers for isolation and security. PostgreSQL with replication ensures high data availability. Redis optimizes performance via caching.
The CI/CD workflow integrates automatic deployment from GitHub/GitLab, staging environments for pre-production testing, and instant rollback in case of problems. Builds are reproducible thanks to versioned Dockerfiles. The pipeline is configurable according to your needs.
Grafana/Prometheus monitoring monitors system and application metrics. Proactive alerts detect anomalies before they impact users. Centralized logs facilitate debugging. Minio provides object storage for backups and assets.
Choosing our DevOps & Monitoring expertise means benefiting from:
- full visibility into the health of your applications,
- intelligent alerting that detects problems before your users do,
- automated processes for a reliable infrastructure,
- open-source tools with no recurring license costs.
You get an observable, automated, and resilient infrastructure, managed according to DevOps best practices.