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 Zabbix 7 API automation with Python scripts for monitoring and alerting
Automate Zabbix 7 monitoring tasks with Python scripts using the API. Set up host discovery, template assignment, custom monitoring scripts, and alerting automation for streamlined infrastructure management.
Configure SonarQube quality gates and custom rules for automated code quality enforcement
Set up SonarQube quality gates with custom conditions, create language-specific rules, and integrate automated quality enforcement into CI/CD pipelines for continuous code quality monitoring.
Deploy applications to Kubernetes with Helm charts and production best practices
Learn how to create production-ready Helm charts for Kubernetes deployments with proper templating, values management, security configurations, and environment-specific customizations for scalable application orchestration.
Integrate GitLab with Kubernetes for automated deployments using CI/CD pipelines and runners
Set up GitLab CI/CD pipelines with Kubernetes runners for automated application deployments. Configure RBAC, implement rolling updates, and establish production-grade deployment strategies.
Configure Kubernetes OpenTelemetry auto-instrumentation for microservices observability
Set up OpenTelemetry Operator in Kubernetes to automatically instrument microservices with distributed tracing. Enable seamless observability across your application stack without modifying application code.
Implement Kafka Streams processing applications with Java and Scala for real-time data analytics
Build production-ready Kafka Streams applications using Java and Scala for real-time data processing, including stateless transformations, stateful aggregations, windowing, and stream joins with exactly-once semantics.
Setup 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.
Integrate Jaeger with Kubernetes service mesh for comprehensive distributed tracing
Set up production-grade distributed tracing in Kubernetes using Jaeger with Istio service mesh integration. Configure OpenTelemetry instrumentation, Elasticsearch storage backend, and comprehensive observability for microservices.
Set up OpenTelemetry custom instrumentation and metrics collection with Prometheus integration
Configure OpenTelemetry Collector with custom metrics exporters and processors, set up application instrumentation with SDKs, and integrate with Prometheus and Grafana for comprehensive distributed system monitoring and observability.
Integrate OpenTelemetry with ELK stack for unified observability and distributed tracing
Set up a comprehensive observability stack by integrating OpenTelemetry Collector with Elasticsearch, Logstash, and Kibana for distributed tracing, metrics collection, and unified monitoring across microservices and applications.
Set up Linux performance monitoring with perf tools and flame graphs
Configure perf tools and FlameGraph toolkit to capture detailed CPU profiling data and generate interactive flame graphs for Linux performance analysis. Monitor application hotspots, CPU usage patterns, and identify performance bottlenecks in production environments.
Set up OpenTelemetry metrics collection with Prometheus integration for distributed system monitoring
Configure OpenTelemetry Collector to gather metrics from distributed services and export them to Prometheus for comprehensive observability monitoring. This integration provides unified metrics collection across your microservices architecture.
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