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.
Browse by topic
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
Configure Linux system time synchronization with chrony and NTP hardening
linuxSet up Node.js application security with Helmet and rate limiting
securityInstall and configure Caddy web server with automatic HTTPS and reverse proxy
hostingInstall and configure PostgreSQL 17 with performance tuning and security hardening
databasesConfigure network interface monitoring with ICMP ping and connectivity testing
networkingRecently published
Integrate ModSecurity 3 with SOAR platforms for automated incident response and threat detection
securityMonitor Node.js applications with Prometheus and Grafana for comprehensive performance metrics
monitoringSet up PostgreSQL 17 streaming replication with PgBouncer connection pooling and load balancing
databasesSet up ELK Stack for centralized ModSecurity log analysis and monitoring
securityImplement network security policies with iptables and firewalld for enterprise infrastructure protection
securityOptimize ClickHouse performance for high-throughput workloads with advanced tuning and memory management
Learn how to optimize ClickHouse for high-throughput analytics workloads through advanced memory configuration, query performance tuning, storage engine optimization, and connection pooling strategies.
Configure ClickHouse materialized views for real-time analytics with performance optimization
Set up ClickHouse materialized views to transform raw data into real-time aggregations. Configure performance optimization with memory tuning and monitoring for high-throughput analytics workloads.
Optimize ClickHouse performance for large datasets with advanced tuning and memory management
Optimize ClickHouse for high-performance analytics on multi-terabyte datasets with advanced memory tuning, storage engine configuration, query optimization strategies, and distributed clustering for production workloads.
Set up ClickHouse monitoring with Prometheus and Grafana dashboards
Configure comprehensive ClickHouse monitoring using Prometheus for metrics collection and Grafana for visualization. Set up system metrics, query performance monitoring, and alerting rules for production ClickHouse deployments.
Configure ClickHouse users and RBAC for production environments with authentication and access control
Secure your ClickHouse deployment with proper user authentication, role-based access control, and production-grade security policies. Learn to create users, manage roles, implement quota systems, and monitor access patterns for enterprise environments.
Implement automated ClickHouse backups with S3 storage and monitoring
Set up automated backup solutions for ClickHouse databases with S3 storage, retention policies, and monitoring alerts. This tutorial covers backup tool installation, S3 configuration, scheduling with systemd timers, and health monitoring.
Implement Kafka Streams applications for real-time data processing with Java and Scala
Build production-grade Kafka Streams applications for real-time data processing using Java and Scala. Configure stream processing topologies, implement windowing operations, and deploy scalable streaming applications with monitoring.
Install and configure DuckDB for analytical workloads with Python integration
Set up DuckDB, the high-performance analytical database, with CLI tools and Python integration for fast OLAP queries and data analytics workloads.
Install and configure ClickHouse for high-performance analytics with clustering
Set up ClickHouse OLAP database with clustering support for real-time analytics workloads. Configure distributed tables, security, SSL encryption, and monitoring for production environments.
Need help?
Don't want to manage this yourself?
We handle infrastructure for businesses that depend on uptime. From initial setup to ongoing operations.
Talk to an engineer