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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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 Uvicorn ASGI server with systemd and reverse proxy for FastAPI applications
hostingInstall and configure Ollama for local AI models on Linux servers
devopsInstall and configure Uptime Kuma for website monitoring with SSL and email alerts
monitoringRecently published
Implement NGINX Plus active health checks for enterprise environments
hostingSetup Prometheus Blackbox Exporter for endpoint monitoring with SSL and alerting
monitoringConfigure Prometheus alerting with AlertManager notifications and webhook integration
monitoringConfigure Elasticsearch cross-cluster replication for disaster recovery
databasesConfigure InfluxDB 2.7 clustering for high availability with data replication and automated failover
databasesImplement Kafka Streams exactly-once processing semantics with Java applications
Configure Kafka cluster and Java applications for exactly-once processing semantics with transaction state management, idempotent producers, and EOS isolation levels for reliable stream processing.
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.
Configure Kafka Streams state stores and RocksDB optimization for high-performance streaming applications
Configure Kafka Streams state stores with RocksDB optimization for high-performance streaming applications. Learn custom state store configurations, RocksDB tuning parameters, and monitoring techniques for production-grade stream processing.
Set up Kafka Streams testing framework with TopologyTestDriver for automated stream processing validation
Configure a complete testing framework for Kafka Streams applications using TopologyTestDriver to validate stream processing logic with automated tests and mock data pipelines.
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.
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 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.
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.
Configure ClickHouse materialized views for real-time analytics with performance optimization
Set up ClickHouse materialized views to transform raw data into real-time aggregations. Configure performance optimization with memory tuning and monitoring for high-throughput analytics workloads.
Configure Fluentd with Kubernetes DaemonSet and log routing for centralized collection
Deploy Fluentd as a DaemonSet on Kubernetes for centralized log collection with multi-format parsing, routing to multiple outputs, and RBAC security. Includes configuration for Elasticsearch, S3, and custom log sources.
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.
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