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.

devops Advanced

Set 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.

45 min 4 distros 733 views
devops Intermediate

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.

45 min 4 distros 562 views
devops Advanced

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.

45 min 4 distros 636 views
performance Advanced

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.

45 min 4 distros 677 views
monitoring Intermediate

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.

25 min 4 distros 663 views
databases Intermediate

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.

25 min 4 distros 914 views
databases Intermediate

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.

45 min 4 distros 1,132 views
databases Advanced

Set up Spark 3.5 Delta Lake with MinIO for ACID transactions and big data analytics

Configure Apache Spark 3.5 with Delta Lake and MinIO object storage for ACID transactions, data versioning, and distributed analytics processing. Includes complete setup for production-grade data lake architecture.

45 min 4 distros 1,220 views
databases Advanced

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.

45 min 4 distros 1,291 views
performance Advanced

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.

45 min 4 distros 1,619 views
devops Intermediate

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.

45 min 4 distros 1,406 views
devops Advanced

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.

45 min 4 distros 1,181 views

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