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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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
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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 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 HAProxy with Consul for dynamic service discovery and automatic backend updates
networkingImplement Istio multi-cluster canary deployments and traffic splitting
devopsImplement HAProxy WAF integration with ModSecurity 3 for advanced threat protection
securityConfigure PostgreSQL 17 SSL encryption and certificate-based authentication
databasesSet up HAProxy SSL termination with Let's Encrypt certificates
networkingSet 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.
Optimize DuckDB performance for large datasets with partitioning
Configure DuckDB with advanced partitioning strategies and memory optimization for processing multi-gigabyte datasets efficiently. Includes Python integration, query optimization techniques, and comprehensive monitoring setup.
Configure DuckDB cluster setup for distributed analytics and high performance workloads
Set up a DuckDB cluster with distributed query processing, network security, and performance optimization for high-throughput analytical workloads across multiple nodes.
Set up LUKS full disk encryption during Linux installation
Configure full disk encryption with LUKS during OS installation to secure your data at rest. Includes post-installation key management, performance optimization, and troubleshooting for production systems.
Optimize ScyllaDB performance for time-series data workloads with advanced configuration tuning
Configure ScyllaDB with specialized optimizations for time-series workloads including partitioning strategies, compaction settings, and memory tuning. Set up monitoring with Prometheus and Grafana for production performance insights.
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.
Optimize CockroachDB 24.3 performance with advanced tuning and configuration
Master advanced CockroachDB 24.3 performance optimization through memory, CPU, storage, and query tuning. Configure cluster parameters, connection pooling, and indexing strategies for production-grade distributed SQL workloads.
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.
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.
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.
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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