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 ArgoCD for GitOps continuous deployment with RBAC and SSL
devopsInstall and configure CockroachDB cluster with high availability and distributed SQL
databasesInstall and configure PostgreSQL 17 with performance tuning and security hardening
databasesInstall and configure Loki for centralized log aggregation with Grafana integration
monitoringInstall and configure WireGuard VPN server with client management
networkingRecently published
Configure Nagios SNMP monitoring for network devices with automated discovery and templates
monitoringIntegrate Elasticsearch 8 with Prometheus monitoring and Grafana dashboards
monitoringSet up NGINX web application firewall with ModSecurity 3 and OWASP Core Rule Set
securityConfigure NGINX reverse proxy with advanced caching and load balancing
hostingConfigure Netdata alerts with Slack and Microsoft Teams for real-time monitoring notifications
monitoringConfigure ClickHouse users and RBAC for production environments with authentication and access control
Secure your ClickHouse deployment with proper user authentication, role-based access control, and production-grade security policies. Learn to create users, manage roles, implement quota systems, and monitor access patterns for enterprise environments.
Implement automated ClickHouse backups with S3 storage and monitoring
Set up automated backup solutions for ClickHouse databases with S3 storage, retention policies, and monitoring alerts. This tutorial covers backup tool installation, S3 configuration, scheduling with systemd timers, and health monitoring.
Implement Apache Spark 3.5 cluster with YARN and HDFS for distributed computing
Set up a production-grade Apache Spark 3.5 cluster with YARN resource management and HDFS distributed storage for scalable big data processing. This tutorial covers multi-node Hadoop cluster configuration, YARN integration, and monitoring setup.
Set up Spark 3.5 Delta Lake with MinIO for ACID transactions and big data analytics
Configure Apache Spark 3.5 with Delta Lake and MinIO object storage for ACID transactions, data versioning, and distributed analytics processing. Includes complete setup for production-grade data lake architecture.
Implement Kafka Streams applications for real-time data processing with Java and Scala
Build production-grade Kafka Streams applications for real-time data processing using Java and Scala. Configure stream processing topologies, implement windowing operations, and deploy scalable streaming applications with monitoring.
Set up ClickHouse and Kafka real-time data pipeline with streaming analytics
Build a production-ready real-time data pipeline using ClickHouse for high-performance analytics and Apache Kafka for streaming data ingestion. Configure clustering, replication, and automated data processing workflows.
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.
Install and configure ClickHouse for high-performance analytics with clustering
Set up ClickHouse OLAP database with clustering support for real-time analytics workloads. Configure distributed tables, security, SSL encryption, and monitoring for production environments.
Install and configure Apache Kafka with cluster setup and monitoring
Set up a production-ready Apache Kafka cluster with SSL security, ZooKeeper ensemble, and comprehensive monitoring using JMX and Prometheus for high-throughput message streaming.
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