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 Consul Connect service mesh monitoring with distributed tracing
monitoringConfigure Kubernetes RBAC with service accounts and cluster roles for secure access control
devopsImplement Deno microservices architecture with service discovery and load balancing
devopsImplement Kubernetes security scanning with Falco and OPA Gatekeeper for runtime protection
securityConfigure OpenTelemetry custom metrics for application monitoring with Prometheus and Grafana
monitoringSetup Jaeger sampling strategies for high-volume production tracing
Configure advanced Jaeger sampling strategies to efficiently capture traces in high-traffic production environments while controlling storage costs and maintaining observability.
Implement Node.js application monitoring with Prometheus metrics and Grafana dashboards
Set up comprehensive Node.js application monitoring using Prometheus metrics collection with the prom-client library and create custom Grafana dashboards for performance insights and alerting.
Configure 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.
Configure Elasticsearch 8 snapshot and restore policies with automated backup strategies
Set up comprehensive Elasticsearch 8 backup strategies with snapshot lifecycle management (SLM), filesystem and S3 repository backends, automated scheduling, and recovery procedures for production environments.
Optimize MongoDB 8.0 performance with advanced indexing strategies and aggregation pipelines
Master MongoDB 8.0 performance optimization through strategic index design, aggregation pipeline efficiency, and production-ready monitoring. Covers compound indexes, query analysis, memory management, and security hardening for high-throughput database workloads.
Set up centralized logging with Winston and Elasticsearch for Node.js applications
Configure Winston logging in Node.js with Elasticsearch transport for centralized log aggregation, monitoring, and analysis using Kibana dashboards.
Set up Kafka Streams testing framework with TopologyTestDriver for automated stream processing validation
Configure a complete testing framework for Kafka Streams applications using TopologyTestDriver to validate stream processing logic with automated tests and mock data pipelines.
Optimize DuckDB performance for large datasets with partitioning
Configure DuckDB with advanced partitioning strategies and memory optimization for processing multi-gigabyte datasets efficiently. Includes Python integration, query optimization techniques, and comprehensive monitoring setup.
Configure DuckDB cluster setup for distributed analytics and high performance workloads
Set up a DuckDB cluster with distributed query processing, network security, and performance optimization for high-throughput analytical workloads across multiple nodes.
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.
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