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 Ollama for local AI models on Linux servers
devopsInstall and configure Uvicorn ASGI server with systemd and reverse proxy for FastAPI applications
hostingInstall and configure Uptime Kuma for website monitoring with SSL and email alerts
monitoringRecently published
Configure Spark on Kubernetes with cluster autoscaling for dynamic workloads
devopsConfigure Jaeger alerting with Prometheus and Grafana for distributed tracing observability
monitoringImplement MariaDB backup encryption with Mariabackup and automated restoration
databasesImplement Kubernetes secrets management with HashiCorp Vault integration
devopsSet up Spark Streaming with Kafka and Delta Lake for real-time analytics
devopsOptimize ScyllaDB performance for time-series data workloads with advanced configuration tuning
Configure ScyllaDB with specialized optimizations for time-series workloads including partitioning strategies, compaction settings, and memory tuning. Set up monitoring with Prometheus and Grafana for production performance insights.
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.
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 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.
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