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
Setup Node.js error tracking with Sentry for production monitoring and debugging
monitoringImplement Node.js application monitoring with Prometheus metrics and Grafana dashboards
monitoringImplement OSPF multi-area design with FRRouting and advanced routing policies
networkingConfigure Istio security policies with external authorization services integration
securityImplement Docker network security with custom bridge networks and container isolation
securityConfigure Spark on Kubernetes with cluster autoscaling for dynamic workloads
Deploy Apache Spark 3.5 on Kubernetes with automatic cluster scaling, dynamic resource allocation, and comprehensive monitoring for production data processing workloads.
Set up Spark Streaming with Kafka and Delta Lake for real-time analytics
Configure Apache Spark 3.5 with Kafka integration and Delta Lake support for building production-grade real-time analytics pipelines with ACID transactions and streaming capabilities.
Implement Spark SQL performance optimization with Catalyst optimizer and advanced tuning
Optimize Apache Spark 3.5 SQL performance using Catalyst optimizer with advanced query tuning, adaptive query execution, and production-grade configuration for high-throughput analytics workloads.
Set up GitLab CI/CD with Kubernetes runners for scalable deployments
Configure GitLab Runner with Kubernetes executor to automatically scale CI/CD workloads. Set up RBAC permissions, deploy pipelines to Kubernetes clusters, and implement resource management policies for efficient container orchestration.
Setup advanced Airflow alerting with Slack integration and custom notification rules
Configure Apache Airflow to send intelligent alerts to Slack channels when DAGs fail, with custom notification rules based on task importance and execution context. Includes automated retry logic and escalation workflows.
Implement Kafka Streams exactly-once processing semantics with Java applications
Configure Kafka cluster and Java applications for exactly-once processing semantics with transaction state management, idempotent producers, and EOS isolation levels for reliable stream processing.
Configure Kafka Streams state stores and RocksDB optimization for high-performance streaming applications
Configure Kafka Streams state stores with RocksDB optimization for high-performance streaming applications. Learn custom state store configurations, RocksDB tuning parameters, and monitoring techniques for production-grade stream processing.
Setup DuckDB with Apache Airflow for automated data pipelines
Configure DuckDB as a high-performance analytical database backend for Apache Airflow workflows. Build automated data pipelines that process files, APIs, and databases using DuckDB's columnar engine.
Set up Nagios Core 4.5 distributed monitoring with NRPE for remote host checks
Configure Nagios Core server with NRPE agents for distributed monitoring across multiple servers. Set up remote host checks, service monitoring, and centralized alerting for comprehensive infrastructure oversight.
Configure Apache Airflow DAG performance optimization best practices
Optimize Apache Airflow DAGs for production with parallelism tuning, resource allocation strategies, and performance monitoring. Learn executor configuration, task dependency optimization, and troubleshooting techniques for high-throughput workflows.
Set up Apache Airflow performance monitoring with DataDog agent integration and custom dashboards
Configure comprehensive Apache Airflow monitoring using DataDog agent to track DAG performance, task execution metrics, and resource utilization with custom dashboards and automated alerting for production workflow management.
Implement Airflow load balancing with Celery executor for high availability workflows
Set up Apache Airflow with Celery executor, Redis cluster backend, HAProxy load balancing, and auto-scaling workers for production-grade workflow orchestration with high availability.
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