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 Uptime Kuma for website monitoring with SSL and email alerts
monitoringFix apt update E: Repository no longer has a Release file
linuxInstall and configure Caddy web server with automatic HTTPS and reverse proxy
hostingInstall and configure TimescaleDB with PostgreSQL for high-performance time-series data
databasesRecently published
Set up automated MariaDB Galera cluster backups with compression
databasesConfigure MariaDB ColumnStore for high-performance analytics workloads
databasesImplement Kibana 8 custom threat hunting dashboards for security incident response
monitoringConfigure Logstash 8 security pipelines with threat intelligence enrichment
monitoringConfigure Ansible Vault integration with HashiCorp Vault for secrets management
devopsSetup Kafka Schema Registry with Avro serialization for data processing
Configure Confluent Schema Registry with Avro serialization for production Kafka deployments. Includes schema evolution, producer/consumer integration, and SSL security configuration.
Configure Kafka Connect for database integration with JDBC connectors and CDC
Set up Kafka Connect with JDBC connectors for real-time database integration and configure Debezium for change data capture. Monitor connector performance and troubleshoot common integration issues.
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.
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