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.
Browse by topic
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
Implement 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
networkingConfigure HAProxy with Consul for dynamic service discovery
networkingConfigure PostgreSQL 17 connection pooling with PgBouncer for high availability
databasesSet 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 Spark Kubernetes Operator with MinIO for cloud-native analytics
Deploy Apache Spark on Kubernetes with the Spark Operator and MinIO object storage for scalable big data processing. Configure RBAC, SSL certificates, and persistent storage for production-ready analytics workloads.
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.
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.
Don't want to manage this yourself?
We handle infrastructure for businesses that depend on uptime. Fully managed, with one fixed contact who knows your setup.
You get one fixed contact who knows your setup
Rotterdam 01:10 · reachable in a message, no ticket form