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 Caddy web server with automatic HTTPS and reverse proxy
hostingInstall and configure Uvicorn ASGI server with systemd and reverse proxy for FastAPI applications
hostingInstall and configure Ollama for local AI models on Linux servers
devopsConfigure Linux system time synchronization with chrony and NTP hardening
linuxRecently published
Setup Elasticsearch 8 index lifecycle management for automated log retention and storage optimization
devopsConfigure Kafka Streams state stores and RocksDB optimization for high-performance streaming applications
devopsImplement Django continuous deployment with Git hooks and automated testing
devopsConfigure Django Redis caching and session storage for high-performance web applications
performanceSet up Kafka Streams testing framework with TopologyTestDriver for automated stream processing validation
devopsOptimize DuckDB performance for large datasets with partitioning
Configure DuckDB with advanced partitioning strategies and memory optimization for processing multi-gigabyte datasets efficiently. Includes Python integration, query optimization techniques, and comprehensive monitoring setup.
Configure DuckDB cluster setup for distributed analytics and high performance workloads
Set up a DuckDB cluster with distributed query processing, network security, and performance optimization for high-throughput analytical workloads across multiple nodes.
Optimize 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.
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