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
linuxInstall and configure CockroachDB cluster with high availability and distributed SQL
databasesConfigure network interface monitoring with ICMP ping and connectivity testing
networkingInstall and configure PostgreSQL 17 with performance tuning and security hardening
databasesInstall and configure ArgoCD for GitOps continuous deployment with RBAC and SSL
devopsRecently published
Implement Podman pod security with network policies and microsegmentation
securityConfigure Apache Airflow high availability with CeleryExecutor and Redis clustering for production deployments
devopsConfigure advanced gRPC load balancing with Envoy Proxy health checks and circuit breakers
networkingConfigure custom Grafana plugins for specialized monitoring requirements
monitoringConfigure NGINX monitoring with Prometheus and Grafana dashboards for real-time web server performance metrics
monitoringInstall 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.
Optimize Linux filesystem performance with mount options and I/O schedulers
Learn to optimize Linux filesystem performance by configuring I/O schedulers, tuning ext4 mount options, and monitoring disk performance with iostat and iotop for high-throughput workloads.
Install and configure ScyllaDB cluster with replication and performance tuning
Set up a production-ready ScyllaDB cluster with multi-node configuration, automatic replication, and performance optimization. ScyllaDB provides 10x better performance than Cassandra with drop-in compatibility.
Configure Linux log rotation with logrotate and compression for system maintenance
Master log rotation with logrotate to manage disk space efficiently. Configure custom rotation policies, compression settings, and automated cleanup for applications and system logs.
Configure Linux memory management and swap optimization for high-performance workloads
Optimize Linux memory subsystem performance through advanced swap configuration, virtual memory tuning, and memory compression techniques. Learn to configure transparent huge pages, zram, and application-specific memory settings for high-performance workloads.
Automate WireGuard client management with scripts for provisioning and configuration
Create automated scripts to provision WireGuard clients, manage configurations, and monitor VPN connections. This tutorial builds comprehensive management tools for production WireGuard deployments.
Optimize Elasticsearch 8 indexing performance for large datasets with bulk operations and memory tuning
Configure Elasticsearch 8 for maximum indexing performance when handling large datasets through bulk API optimization, JVM memory tuning, and index mapping strategies. This guide covers production-grade performance tuning for high-throughput indexing workloads.
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.
Configure MinIO with Apache Spark 3.5 for big data analytics and object storage integration
Set up Apache Spark 3.5 with MinIO S3-compatible object storage for scalable big data analytics. Configure distributed storage, implement data lake patterns, and run production analytics workflows on your cluster infrastructure.
Set up TimescaleDB clustering for high availability with automatic failover
Configure a production-ready TimescaleDB cluster with streaming replication, automatic failover using Patroni, and etcd for distributed consensus to ensure zero-downtime operation of your time-series database.
Configure TimescaleDB continuous aggregates for real-time analytics with PostgreSQL optimization
Set up TimescaleDB continuous aggregates to automatically compute and maintain real-time materialized views for time-series data analytics. Configure refresh policies, optimize aggregate queries, and implement monitoring for production workloads.
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