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
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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
monitoringInstall and configure Caddy web server with automatic HTTPS and reverse proxy
hostingInstall and configure TimescaleDB with PostgreSQL for high-performance time-series data
databasesInstall and configure Ollama for local AI models on Linux servers
devopsRecently published
Configure PostgreSQL 17 SSL encryption and certificate-based authentication
databasesSet up HAProxy SSL termination with Let's Encrypt certificates
networkingConfigure HAProxy with Consul for dynamic service discovery
networkingConfigure PostgreSQL 17 connection pooling with PgBouncer for high availability
databasesConfigure Kubernetes secrets management with External Secrets Operator and HashiCorp Vault
devopsConfigure MariaDB 11.6 performance monitoring with Prometheus and Grafana dashboards
Set up comprehensive MariaDB monitoring with mysqld_exporter, Prometheus metrics collection, and custom Grafana dashboards for database performance insights and alerting.
Benchmark database performance with sysbench and fio integration
Learn to benchmark MySQL and PostgreSQL database performance using sysbench 1.0.20 combined with fio 3.37 disk I/O testing. This comprehensive guide covers installation, configuration, execution of performance tests, and analysis of results for database optimization in production environments.
Configure Netdata MySQL monitoring and database performance alerts
Set up comprehensive MySQL monitoring with Netdata for real-time database performance metrics, query analysis, and automated alerts. Monitor connection pools, slow queries, and resource usage with production-grade alerting.
Set up development database environments with environment variables
Learn to configure PostgreSQL, MySQL, and MariaDB development databases using environment variables for secure connection management and simplified configuration across different environments.
Configure MariaDB 11.6 monitoring with Prometheus and Grafana dashboards
Set up comprehensive MariaDB monitoring with Prometheus mysqld_exporter metrics collection and Grafana visualization. Configure database performance alerts, query monitoring, and custom dashboards for production MariaDB instances.
Configure Cherokee web server with MySQL database optimization and performance tuning
Set up Cherokee web server with optimized MySQL database connections, FastCGI configuration, and performance tuning for high-traffic web applications on Linux systems.
Configure Tomcat 11 database connection pooling with HikariCP and JNDI optimization for high-performance applications
Set up efficient database connection pooling in Apache Tomcat 11 using HikariCP through JNDI configuration. Optimize connection parameters, implement proper resource management, and configure monitoring for production database workloads.
Configure Linux filesystem tuning and optimization for database workloads
Optimize Linux filesystem performance for database workloads by configuring mount options, I/O schedulers, and kernel parameters to maximize database throughput and minimize latency.
Set up Zabbix proxy for distributed network monitoring
Configure Zabbix proxy servers to distribute monitoring load across multiple network segments, reduce server load, and monitor remote locations through secure proxy connections.
Implement TimescaleDB data retention policies for time-series optimization
Learn to configure automated data retention policies in TimescaleDB for efficient storage management. Set up compression, continuous aggregates, and automated data lifecycle policies to optimize time-series database performance and reduce storage costs.
Configure TimescaleDB automated data retention policies for efficient storage management
Set up automated data retention and compression policies in TimescaleDB to optimize storage usage and maintain database performance. Learn to configure drop_chunks and compression policies with monitoring.
Monitor PostgreSQL performance with pg_stat_statements extension for query analysis and optimization
Set up pg_stat_statements extension to collect query statistics, analyze slow queries, and optimize PostgreSQL database performance with automated monitoring alerts.
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