How often have you used Grafana?

On a daily basis for monitoring and visualizing metrics from various sources such as Prometheus, Loki, InfluxDB, and Elasticsearch.

Key use cases:

• Performance monitoring. Creating dashboards to track CPU load, memory consumption, network traffic, latencies, and other parameters of servers, containers, and services.
• Logging. Visualizing and analyzing logs from Loki to identify errors, problematic patterns, and bottlenecks.
• Alerting. Setting up alert rules based on metric thresholds for prompt incident response.
• Incident analysis. Using dashboards for quick root cause analysis of failures and issues.
• Capacity planning. Tracking resource consumption trends to forecast future needs.
• Business metrics. Visualizing metrics specific to the application or business.

Worked with various panels: Graph, Stat, Table, Heatmap, Geomap, Native Histogram. Actively used variables for dynamic data changes on dashboards. Configured data sources and service accounts. Implemented dashboards through provisioning for version control and automatic deployment.

Example of provisioning configuration:

# data sources
apiVersion: 1

datasources:
- name: Prometheus
  type: prometheus
  access: proxy
  url: http://prometheus:9090
  isDefault: true
  version: 1
  editable: false

# dashboards
apiVersion: 1

providers:
  - name: 'System Dashboards'
    orgId: 1
    folder: ''
    type: file
    disableDeletion: true
    editable: true
    options:
      path: /etc/grafana/provisioning/dashboards

Example of a Prometheus query used in Grafana:

# Number of HTTP requests per second
sum(rate(http_requests_total{job="web"}[5m]))

Example of a Loki query:

# Find errors in the "backend" service logs
{job="backend", level="error"}

Experience includes working with Grafana in many projects, from small services to complex distributed systems. Integrated Grafana with various monitoring and orchestration tools such as Kubernetes, Prometheus Operator, Loki Operator.