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 Uptime Kuma for website monitoring with SSL and email alerts
monitoringInstall and configure Caddy web server with automatic HTTPS and reverse proxy
hostingFix apt update E: Repository no longer has a Release file
linuxInstall and configure TimescaleDB with PostgreSQL for high-performance time-series data
databasesRecently published
Configure MariaDB ColumnStore for high-performance analytics workloads
databasesImplement Kibana 8 custom threat hunting dashboards for security incident response
monitoringConfigure Logstash 8 security pipelines with threat intelligence enrichment
monitoringConfigure Ansible Vault integration with HashiCorp Vault for secrets management
devopsImplement Thanos Ruler for distributed alerting and recording rules across Prometheus clusters
monitoringSetup 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.
Configure Kafka Schema Registry with Avro serialization for data processing
Set up Confluent Schema Registry with Apache Kafka to manage Avro schemas for data serialization. Configure producers and consumers with schema evolution and compatibility rules for production data processing workflows.
Optimize ClickHouse performance for large datasets with advanced tuning and memory management
Optimize ClickHouse for high-performance analytics on multi-terabyte datasets with advanced memory tuning, storage engine configuration, query optimization strategies, and distributed clustering for production workloads.
Implement MinIO data lifecycle management and automated archival with S3 retention policies
Configure MinIO lifecycle policies to automatically transition and expire objects based on age and storage class. Set up intelligent tiering and automated archival to optimize storage costs and compliance with data retention requirements.
Set up ClickHouse monitoring with Prometheus and Grafana dashboards
Configure comprehensive ClickHouse monitoring using Prometheus for metrics collection and Grafana for visualization. Set up system metrics, query performance monitoring, and alerting rules for production ClickHouse deployments.
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.
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