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 ArgoCD for GitOps continuous deployment with RBAC and SSL
devopsInstall and configure CockroachDB cluster with high availability and distributed SQL
databasesInstall and configure PostgreSQL 17 with performance tuning and security hardening
databasesInstall and configure Loki for centralized log aggregation with Grafana integration
monitoringInstall and configure WireGuard VPN server with client management
networkingRecently published
Configure Nagios SNMP monitoring for network devices with automated discovery and templates
monitoringIntegrate Elasticsearch 8 with Prometheus monitoring and Grafana dashboards
monitoringSet up NGINX web application firewall with ModSecurity 3 and OWASP Core Rule Set
securityConfigure NGINX reverse proxy with advanced caching and load balancing
hostingConfigure Netdata alerts with Slack and Microsoft Teams for real-time monitoring notifications
monitoringImplement 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.
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.
Install and configure Apache Kafka with cluster setup and monitoring
Set up a production-ready Apache Kafka cluster with SSL security, ZooKeeper ensemble, and comprehensive monitoring using JMX and Prometheus for high-throughput message streaming.
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