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
hostingInstall and configure TimescaleDB with PostgreSQL for high-performance time-series data
databasesInstall and configure Ollama for local AI models on Linux servers
devopsRecently published
Configure PostgreSQL 17 SSL encryption and certificate-based authentication
databasesSet up HAProxy SSL termination with Let's Encrypt certificates
networkingConfigure HAProxy with Consul for dynamic service discovery
networkingConfigure PostgreSQL 17 connection pooling with PgBouncer for high availability
databasesConfigure Kubernetes secrets management with External Secrets Operator and HashiCorp Vault
devopsSet 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.
Configure 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.
Configure Kafka Streams for real-time data processing and analytics
Set up Kafka Streams applications with Java development environment to build real-time data processing pipelines for analytics and monitoring workloads.
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.
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 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.
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.
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 ZooKeeper for ClickHouse replication with multi-node cluster setup
Set up a production-ready ZooKeeper ensemble to enable ClickHouse replication across multiple nodes. This tutorial covers ZooKeeper cluster configuration, ClickHouse integration, security hardening, and failover testing.
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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