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
monitoringSet up MinIO gateway for multi-cloud storage federation with AWS S3 and Azure integration
Learn to deploy MinIO as a unified storage gateway that seamlessly federates multiple cloud storage backends including AWS S3 and Azure Blob Storage. This advanced configuration provides intelligent failover, cost optimization, and vendor-neutral object storage management.
Configure Jaeger data retention policies and automated archiving with Elasticsearch backend
Learn to configure Jaeger data retention policies with Elasticsearch backend for automated trace archiving. This tutorial covers index lifecycle management, storage optimization, and performance monitoring to prevent disk space issues while maintaining observability requirements.
Set up Jaeger high availability clustering with load balancing and failover
Deploy a production-grade Jaeger distributed tracing cluster with Elasticsearch backend, load-balanced collectors, and automatic failover for enterprise-scale microservices monitoring.
Implement Elasticsearch 8 index lifecycle management and retention policies
Configure automated index lifecycle management (ILM) policies in Elasticsearch 8 to optimize storage, performance, and data retention. Learn to set up hot-warm-cold architectures with automatic rollover and deletion based on age and size criteria.
Setup Elasticsearch 8 SSL/TLS encryption and advanced security hardening with authentication and access control
Secure your Elasticsearch 8 cluster with comprehensive SSL/TLS encryption, user authentication, role-based access control, and network hardening. This tutorial covers production-grade security configuration to protect your search infrastructure.
Setup centralized log aggregation with Elasticsearch 8, Logstash 8, and Kibana 8 (ELK Stack)
Deploy a production-ready ELK stack for centralized log aggregation with Elasticsearch 8, Logstash 8, and Kibana 8. Configure secure log shipping from multiple sources with authentication and SSL encryption.
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 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.
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