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
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.
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.
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.
Setup Kafka Schema Registry with Avro serialization for data processing
Configure Confluent Schema Registry with Avro serialization for production Kafka deployments. Includes schema evolution, producer/consumer integration, and SSL security configuration.
Configure Kafka Schema Registry with Avro serialization for data processing
Set up Confluent Schema Registry with Apache Kafka to manage Avro schemas for data serialization. Configure producers and consumers with schema evolution and compatibility rules for production data processing workflows.
Integrate Redis 7 with microservices architecture for caching and session management
Set up Redis 7 as a centralized caching layer and session store for microservices, with service discovery integration and clustering for high availability. Configure distributed session management patterns and implement Redis clustering for horizontal scalability.
Implement Kafka Streams applications for real-time data processing with Java and Scala
Build production-grade Kafka Streams applications for real-time data processing using Java and Scala. Configure stream processing topologies, implement windowing operations, and deploy scalable streaming applications with monitoring.
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.
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 12:59 · reachable in a message, no ticket form