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
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 MariaDB ColumnStore for high-performance analytics workloads
Deploy and tune MariaDB ColumnStore for columnar analytics, covering single-node and multi-node cluster setup, table design, memory tuning, bulk loading with cpimport, and cluster health monitoring.
Set 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.
Implement Kafka Streams exactly-once processing semantics with Java applications
Configure Kafka cluster and Java applications for exactly-once processing semantics with transaction state management, idempotent producers, and EOS isolation levels for reliable stream processing.
Configure Kafka Schema Registry with Avro serialization for data processing
Set up Confluent Schema Registry with Avro serialization to manage schemas and ensure data compatibility in your Kafka streaming applications. This guide covers installation, schema management, and producer/consumer configuration.
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.
Set up Kafka Streams testing framework with TopologyTestDriver for automated stream processing validation
Configure a complete testing framework for Kafka Streams applications using TopologyTestDriver to validate stream processing logic with automated tests and mock data pipelines.
Set up Kafka Connect cluster with high availability and load balancing
Configure a production-ready Kafka Connect cluster with multiple worker nodes, HAProxy load balancing, and Prometheus monitoring. Includes distributed configuration, shared storage setup, and comprehensive health checks for reliable data pipeline 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.
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.
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.
Configure ClickHouse materialized views for real-time analytics with performance optimization
Set up ClickHouse materialized views to transform raw data into real-time aggregations. Configure performance optimization with memory tuning and monitoring for high-throughput analytics 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.
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 07:40 · reachable in a message, no ticket form