Infrastructure tutorials
Production-grade guides for Linux, servers, security and performance. Copy-paste commands, multi-distro support, written by engineers who run this in production.
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Linux
System administration, shell scripting, package management
Hosting & Servers
Web servers, reverse proxies, SSL, domains
Security
Firewalls, hardening, encryption, access control
Performance
Caching, optimization, profiling, load testing
Databases
MySQL, PostgreSQL, Redis, backups, replication
Networking
DNS, load balancing, VPN, TCP/IP, routing
DevOps
CI/CD, Docker, Kubernetes, automation
Monitoring
Logging, alerting, metrics, observability
Most viewed
Install and configure Deno for web development with systemd and reverse proxy
hostingInstall and configure Uptime Kuma for website monitoring with SSL and email alerts
monitoringFix apt update E: Repository no longer has a Release file
linuxInstall and configure Caddy web server with automatic HTTPS and reverse proxy
hostingInstall and configure TimescaleDB with PostgreSQL for high-performance time-series data
databasesRecently published
Set up automated MariaDB Galera cluster backups with compression
databasesConfigure MariaDB ColumnStore for high-performance analytics workloads
databasesImplement Kibana 8 custom threat hunting dashboards for security incident response
monitoringConfigure Logstash 8 security pipelines with threat intelligence enrichment
monitoringConfigure Ansible Vault integration with HashiCorp Vault for secrets management
devopsImplement Kubernetes monitoring with Prometheus and Helm charts for comprehensive cluster observability
Deploy a production-ready Prometheus monitoring stack on Kubernetes using Helm charts with ServiceMonitors, alerting rules, and comprehensive cluster observability for metrics collection and monitoring.
Monitor Docker containers with Prometheus and Grafana using cAdvisor for comprehensive metrics collection
Set up comprehensive Docker container monitoring with Prometheus, Grafana, and cAdvisor to track resource usage, performance metrics, and container health in production environments.
Configure Grafana dashboards for InfluxDB collectd metrics with advanced visualization and alerting
Build comprehensive Grafana dashboards to visualize collectd system metrics stored in InfluxDB with custom panels, advanced queries, and automated alerting rules for production monitoring.
Implement Spark streaming with Kafka and MinIO for real-time analytics and big data processing
Build a production-ready real-time analytics pipeline using Apache Spark 3.5 streaming, Kafka for data ingestion, and MinIO for distributed object storage. This tutorial covers fault-tolerant streaming configurations and end-to-end pipeline implementation.
Configure MinIO with Apache Spark 3.5 for big data analytics and object storage integration
Set up Apache Spark 3.5 with MinIO S3-compatible object storage for scalable big data analytics. Configure distributed storage, implement data lake patterns, and run production analytics workflows on your cluster infrastructure.
Monitor Istio service mesh with Prometheus and Grafana dashboards
Configure comprehensive monitoring for your Istio service mesh using Prometheus for metrics collection and Grafana for visualization. Set up observability dashboards to track traffic flow, security policies, and service performance with production-ready alerting rules.
Set up TimescaleDB clustering for high availability with automatic failover
Configure a production-ready TimescaleDB cluster with streaming replication, automatic failover using Patroni, and etcd for distributed consensus to ensure zero-downtime operation of your time-series database.
Configure Linux performance monitoring with collectd and InfluxDB 1.8 for real-time metrics collection
Set up comprehensive system monitoring using collectd to collect performance metrics and InfluxDB 1.8 as a time-series database backend. This tutorial covers installation, configuration, and retention policies for production monitoring environments.
Configure TimescaleDB continuous aggregates for real-time analytics with PostgreSQL optimization
Set up TimescaleDB continuous aggregates to automatically compute and maintain real-time materialized views for time-series data analytics. Configure refresh policies, optimize aggregate queries, and implement monitoring for production workloads.
Set up Prometheus and Grafana monitoring stack with Docker compose
Deploy a complete Prometheus and Grafana monitoring stack using Docker Compose with persistent storage, custom dashboards, and alerting rules for production monitoring.
Install and configure TimescaleDB with PostgreSQL for high-performance time-series data
Learn how to install TimescaleDB extension on PostgreSQL for handling time-series data at scale. This tutorial covers hypertables setup, compression policies, performance tuning, and security hardening with SSL.
Install and configure Jaeger for distributed tracing with Elasticsearch backend
Set up Jaeger distributed tracing system with Elasticsearch storage backend for microservices monitoring. Configure collector, query service, and UI with SSL security and performance optimization.
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