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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Security
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Databases
MySQL, PostgreSQL, Redis, backups, replication
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Monitoring
Logging, alerting, metrics, observability
Most viewed
Install and configure CockroachDB cluster with high availability and distributed SQL
databasesConfigure Linux system time synchronization with chrony and NTP hardening
linuxConfigure network interface monitoring with ICMP ping and connectivity testing
networkingInstall and configure PostgreSQL 17 with performance tuning and security hardening
databasesInstall and configure ArgoCD for GitOps continuous deployment with RBAC and SSL
devopsRecently published
Configure custom Grafana plugins for specialized monitoring requirements
monitoringConfigure NGINX monitoring with Prometheus and Grafana dashboards for real-time web server performance metrics
monitoringImplement Grafana high availability clustering with PostgreSQL backend and load balancing
monitoringConfigure Spark Kubernetes Operator with MinIO for cloud-native analytics
devopsImplement Airflow DAG security scanning with Bandit and safety checks
securityConfigure 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.
Implement Grafana high availability clustering with PostgreSQL backend and load balancing
Set up a production-ready Grafana high availability cluster with PostgreSQL shared database backend and HAProxy load balancing for enterprise monitoring infrastructure with automatic failover.
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.
Configure Apache Airflow data lineage tracking with OpenLineage for comprehensive workflow observability
Set up OpenLineage with Apache Airflow to track data lineage across workflows, providing comprehensive observability into data transformations, dependencies, and quality issues in production environments.
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.
Configure TimescaleDB backup and recovery with pgBackRest for automated PostgreSQL protection
Set up pgBackRest with TimescaleDB for automated backups, point-in-time recovery, and database protection. Includes configuration for local and remote repositories, scheduled backups, and comprehensive restore procedures.
Set up InfluxDB alerting with Kapacitor and notifications
Configure comprehensive alerting for InfluxDB using Kapacitor with email, Slack, and webhook notifications. Set up real-time monitoring, thresholds, and automated responses for time-series data anomalies.
Configure Grafana dashboards for TimescaleDB analytics with real-time metrics and alerting
Build comprehensive Grafana dashboards for TimescaleDB analytics with time-series visualizations, custom queries, and automated alerting for performance monitoring and data insights.
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.
Set up TimescaleDB high availability with streaming replication and automatic failover
Configure TimescaleDB with PostgreSQL streaming replication for high availability. Set up primary and standby servers with hot standby mode, implement automatic failover with pg_auto_failover, and monitor replication status for production-ready time-series database clustering.
Integrate TimescaleDB with Telegraf for metrics collection and time-series monitoring
Set up TimescaleDB with PostgreSQL and configure Telegraf to collect system and application metrics. Create continuous aggregates and monitoring dashboards for comprehensive time-series analysis and alerting.
Configure TimescaleDB automated data retention policies for efficient storage management
Set up automated data retention and compression policies in TimescaleDB to optimize storage usage and maintain database performance. Learn to configure drop_chunks and compression policies with monitoring.
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