Monitoring9 recipes

Metrics, alerting and observability

mlflowYAMLintermediate
MLflow Tracking Server with PostgreSQL and S3 Artifact Store

Deploy a production MLflow tracking server backed by PostgreSQL for run metadata and S3 for artifacts. Includes docker-compose setup, basic auth proxy and Python client configuration.

MLflow
ProductionDockerDatabaseMonitoringBackup
netdataYAMLintermediate
Configuring Prometheus to Query a Centralized Netdata Server

This article outlines how to set up a Prometheus server to collect metrics from a centralized Netdata server, enhancing security and efficiency.

Netdata
Monitoring
netdataMARKDOWNintermediate
Optimizing Netdata Configuration in a Dockerized Environment

This article explores strategies to optimize Netdata performance in a Docker setup, addressing CPU load issues experienced in a multi-machine configuration.

Netdata
PerformanceDockerMonitoring
netdataNginxintermediate
Setting Up Netdata with Basic Authentication on Nginx

This guide explains how to configure Netdata with basic authentication using Nginx, ensuring secure access to your monitoring dashboard.

Netdata
SecurityMonitoring
prometheusYAMLintermediate
Integrating Custom Applications with Prometheus Operator in Kubernetes

This guide explains how to configure the Prometheus Operator to monitor a custom application, using GitLab Runner as an example.

Prometheus
KubernetesMonitoring
prometheusBashintermediate
Installing a Specific Version of Prometheus Using Helm

This guide explains how to install a specific version of Prometheus using Helm, addressing common issues encountered during the process.

Prometheus
KubernetesMonitoring
prometheusYAMLintermediate
Configuring Target-Specific Labels in Prometheus

Learn how to enhance your Prometheus configuration by adding specific labels to individual targets within your static_configs.

Prometheus
Monitoring
grafanaPROMQLbeginner
Calculating Total HTTP Requests in Grafana Using Prometheus

Learn how to create a Grafana panel that displays the total number of HTTP requests over a specified time period using Prometheus metrics.

Grafana
Monitoring
postgresqlINIadvanced
PostgreSQL Performance Tuning - postgresql.conf

Tuned postgresql.conf settings for a dedicated 8-core / 32 GB RAM database server. Covers shared buffers, WAL, autovacuum, parallel query and connection settings - with explanations for each knob.

PostgreSQL
ProductionPerformanceDatabaseMonitoringAdvancedConnection Pooling