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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Databases
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Monitoring
Logging, alerting, metrics, observability
Most viewed
Install and configure Deno for web development with systemd and reverse proxy
hostingInstall and configure Caddy web server with automatic HTTPS and reverse proxy
hostingInstall and configure Ollama for local AI models on Linux servers
devopsInstall and configure Uvicorn ASGI server with systemd and reverse proxy for FastAPI applications
hostingInstall and configure Uptime Kuma for website monitoring with SSL and email alerts
monitoringRecently published
Setup Node.js error tracking with Sentry for production monitoring and debugging
monitoringImplement Node.js application monitoring with Prometheus metrics and Grafana dashboards
monitoringImplement OSPF multi-area design with FRRouting and advanced routing policies
networkingConfigure Istio security policies with external authorization services integration
securityImplement Docker network security with custom bridge networks and container isolation
securitySet 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.
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.
Set up Kafka Connect cluster with high availability and load balancing
Configure a production-ready Kafka Connect cluster with multiple worker nodes, HAProxy load balancing, and Prometheus monitoring. Includes distributed configuration, shared storage setup, and comprehensive health checks for reliable data pipeline processing.
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.
Set up ClickHouse and Kafka real-time data pipeline with streaming analytics
Build a production-ready real-time data pipeline using ClickHouse for high-performance analytics and Apache Kafka for streaming data ingestion. Configure clustering, replication, and automated data processing workflows.
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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