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
monitoringConfigure 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.
Optimize ClickHouse performance for high-throughput workloads with advanced tuning and memory management
Learn how to optimize ClickHouse for high-throughput analytics workloads through advanced memory configuration, query performance tuning, storage engine optimization, and connection pooling strategies.
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 TimescaleDB clustering for high availability with automatic failover
Configure a production-ready TimescaleDB cluster with streaming replication, automatic failover using Patroni, and etcd for distributed consensus to ensure zero-downtime operation of your time-series database.
Install and configure TimescaleDB with PostgreSQL for high-performance time-series data
Learn how to install TimescaleDB extension on PostgreSQL for handling time-series data at scale. This tutorial covers hypertables setup, compression policies, performance tuning, and security hardening with SSL.
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