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

Implement 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.

45 min 4 distros 67 views
devops Intermediate

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.

45 min 4 distros 140 views
devops Advanced

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.

45 min 4 distros 76 views
devops Intermediate

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.

45 min 4 distros 60 views
devops Advanced

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.

45 min 4 distros 180 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 121 views
devops Intermediate

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.

45 min 4 distros 183 views
devops Advanced

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.

45 min 4 distros 191 views
devops Intermediate

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.

25 min 4 distros 241 views
devops Advanced

Implement Kafka Streams applications for real-time data processing with Java and Scala

Build production-grade Kafka Streams applications for real-time data processing using Java and Scala. Configure stream processing topologies, implement windowing operations, and deploy scalable streaming applications with monitoring.

45 min 4 distros 553 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 590 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 593 views

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