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
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Performance
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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
Configure Linux system time synchronization with chrony and NTP hardening
linuxInstall and configure CockroachDB cluster with high availability and distributed SQL
databasesInstall and configure PostgreSQL 17 with performance tuning and security hardening
databasesConfigure network interface monitoring with ICMP ping and connectivity testing
networkingInstall and configure ArgoCD for GitOps continuous deployment with RBAC and SSL
devopsRecently published
Implement Kubernetes workload rightsizing with VPA recommendations and cost analysis
devopsConfigure Kubernetes cluster autoscaler with mixed instance types for cost optimization
devopsConfigure Apache Airflow DAG performance optimization best practices
devopsImplement WireGuard multi-site mesh networking with automatic routing and failover
networkingSet up Kubernetes custom metrics autoscaling with Prometheus adapter for application-specific scaling
devopsImplement Kubernetes workload rightsizing with VPA recommendations and cost analysis
Set up Vertical Pod Autoscaler to automatically optimize resource requests and limits for your Kubernetes workloads. Create cost analysis dashboards to track resource utilization and identify opportunities for rightsizing containers in production clusters.
Configure Kubernetes cluster autoscaler with mixed instance types for cost optimization
Set up Kubernetes cluster autoscaler 1.30 with mixed instance types and spot instances to automatically scale nodes based on demand while minimizing infrastructure costs through intelligent instance selection and workload optimization.
Configure Apache Airflow DAG performance optimization best practices
Optimize Apache Airflow DAGs for production with parallelism tuning, resource allocation strategies, and performance monitoring. Learn executor configuration, task dependency optimization, and troubleshooting techniques for high-throughput workflows.
Set up Kubernetes custom metrics autoscaling with Prometheus adapter for application-specific scaling
Configure Prometheus adapter to expose custom application metrics to Kubernetes Horizontal Pod Autoscaler for intelligent scaling based on business metrics like queue depth, response time, and user load instead of basic CPU/memory usage.
Set up Apache Airflow performance monitoring with DataDog agent integration and custom dashboards
Configure comprehensive Apache Airflow monitoring using DataDog agent to track DAG performance, task execution metrics, and resource utilization with custom dashboards and automated alerting for production workflow management.
Implement Elasticsearch 8 snapshot lifecycle management with S3 storage for automated backups
Set up automated Elasticsearch 8 backups using snapshot lifecycle management policies with S3 repository storage. Configure retention policies, scheduling, and monitoring for production backup strategies.
Configure Elasticsearch 8 index lifecycle management with hot-warm-cold architecture for automated data tiering
Set up Elasticsearch 8 with hot-warm-cold node architecture and automated index lifecycle management policies to optimize storage costs and query performance. Configure ILM policies that automatically move data through different tiers based on age and usage patterns.
Set up Zabbix proxy for distributed network monitoring
Configure Zabbix proxy servers to distribute monitoring load across multiple network segments, reduce server load, and monitor remote locations through secure proxy connections.
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 custom Grafana plugins for specialized monitoring requirements
Build custom Grafana data source and panel plugins from scratch, then deploy them securely in production environments with proper authentication and access controls.
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 TimescaleDB data retention policies for time-series optimization
Learn to configure automated data retention policies in TimescaleDB for efficient storage management. Set up compression, continuous aggregates, and automated data lifecycle policies to optimize time-series database performance and reduce storage costs.
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