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
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 Uvicorn ASGI server with systemd and reverse proxy for FastAPI applications
hostingInstall and configure PostgreSQL 17 with performance tuning and security hardening
databasesRecently published
Configure systemd service resource limits and security isolation
linuxConfigure NGINX SSL termination with Redis session storage
hostingConfigure intrusion detection with OSSEC and fail2ban integration
securitySet up Varnish 7 cluster with load balancing across multiple backends
performanceConfigure OSSEC active response for automated threat blocking
securityConfigure Kafka Streams for real-time data processing and analytics
Set up Kafka Streams applications with Java development environment to build real-time data processing pipelines for analytics and monitoring workloads.
Implement Kafka Streams processing applications with Java and Scala for real-time data analytics
Build production-ready Kafka Streams applications using Java and Scala for real-time data processing, including stateless transformations, stateful aggregations, windowing, and stream joins with exactly-once semantics.
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.
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.
Set up ClickHouse and Kafka real-time data pipeline with streaming analytics
Build a production-ready real-time data pipeline using ClickHouse for high-performance analytics and Apache Kafka for streaming data ingestion. Configure clustering, replication, and automated data processing workflows.
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 ZooKeeper for ClickHouse replication with multi-node cluster setup
Set up a production-ready ZooKeeper ensemble to enable ClickHouse replication across multiple nodes. This tutorial covers ZooKeeper cluster configuration, ClickHouse integration, security hardening, and failover testing.
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.
Install and configure Apache Kafka with cluster setup and monitoring
Set up a production-ready Apache Kafka cluster with SSL security, ZooKeeper ensemble, and comprehensive monitoring using JMX and Prometheus for high-throughput message streaming.
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