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
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Performance
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Databases
MySQL, PostgreSQL, Redis, backups, replication
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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 Uvicorn ASGI server with systemd and reverse proxy for FastAPI applications
hostingInstall and configure Ollama for local AI models on Linux servers
devopsConfigure Linux system time synchronization with chrony and NTP hardening
linuxRecently published
Configure Kafka Schema Registry with Avro serialization for data processing
devopsSetup Elasticsearch 8 index lifecycle management for automated log retention and storage optimization
devopsConfigure Kafka Streams state stores and RocksDB optimization for high-performance streaming applications
devopsImplement Django continuous deployment with Git hooks and automated testing
devopsConfigure Django Redis caching and session storage for high-performance web applications
performanceConfigure 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.
Setup Tekton Pipelines 0.62 for Kubernetes CI/CD with security scanning integration
Configure Tekton Pipelines for cloud-native CI/CD with automated security scanning, Git webhooks, and production-ready RBAC policies. Build secure container pipelines with integrated vulnerability detection and compliance checks.
Set up GitLab container registry mirror and proxy cache for improved performance
Configure GitLab's built-in container registry as a mirror and proxy cache to reduce Docker Hub rate limits, speed up image pulls, and improve CI/CD pipeline performance across your organization.
Configure Apache Airflow high availability with CeleryExecutor and Redis clustering for production deployments
Set up Apache Airflow with CeleryExecutor and Redis clustering for high availability production deployments. Configure multiple workers, load balancing, monitoring, and automated failover to handle enterprise-scale workflow orchestration with zero downtime.
Configure Spark Kubernetes Operator with MinIO for cloud-native analytics
Deploy Apache Spark on Kubernetes with the Spark Operator and MinIO object storage for scalable big data processing. Configure RBAC, SSL certificates, and persistent storage for production-ready analytics workloads.
Configure Apache Airflow data lineage tracking with OpenLineage for comprehensive workflow observability
Set up OpenLineage with Apache Airflow to track data lineage across workflows, providing comprehensive observability into data transformations, dependencies, and quality issues in production environments.
Configure Apache Airflow DAG security and secrets management with RBAC policies and encryption
Implement comprehensive security for Apache Airflow DAGs using role-based access control, HashiCorp Vault integration, and encrypted secrets management. Configure granular permissions, audit logging, and isolation policies for production workflows.
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