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 PostgreSQL 17 with performance tuning and security hardening
databasesInstall and configure Uvicorn ASGI server with systemd and reverse proxy for FastAPI applications
hostingRecently 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
securityConfigure custom Grafana plugins for specialized monitoring requirements
Build custom Grafana data source and panel plugins from scratch, then deploy them securely in production environments with proper authentication and access controls.
Implement Apache Spark 3.5 cluster with YARN and HDFS for distributed computing
Set up a production-grade Apache Spark 3.5 cluster with YARN resource management and HDFS distributed storage for scalable big data processing. This tutorial covers multi-node Hadoop cluster configuration, YARN integration, and monitoring setup.
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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