
Explore cost-effective Kafka data storage using tiered storage in Strimzi. Learn to implement extended retention periods and efficient data backfilling while optimizing performance and reducing expenses.

Explore Strimzi's solutions for managing multi-tenant Kafka platforms, including topic creation, privilege enforcement, and resource allocation. Learn about KafkaTopic, KafkaUser, and KafkaRebalance CRDs.

Explore Maersk's migration from Confluent to self-managed Apache Kafka on Kubernetes using Strimzi. Learn about architecture, implementation, monitoring, and self-service solutions for large-scale event streaming platforms.

Explore Nubank's journey in modernizing their Kafka platform, handling 1 trillion monthly messages across 50+ clusters. Learn about Strimzi migration, cell-based architecture, and cluster specialization strategies.

Streamline Kafka topic management in Kubernetes using the Unidirectional Topic Operator. Learn scalable, declarative approaches for efficient administration and migration strategies.

Discover how Strimzi's KafkaRoller component manages rolling updates for Kafka clusters, ensuring minimal disruption and maximizing availability in production environments.

Learn essential strategies for upgrading Strimzi and Apache Kafka, ensuring security and optimal performance in critical infrastructure environments.

Explore edge computing with Apache Kafka for improved performance and resiliency. Learn use cases, cloud integration, and Kubernetes management using GitOps. Includes IoT data processing demo.

Explore Apache Kafka's transition from ZooKeeper to KRaft, understanding advantages, challenges, and implications for Kubernetes deployments and the Strimzi project.

Explore event-driven architectures with Knative Eventing and Apache Kafka. Learn key concepts and see a live demo of a customer review moderation pipeline with AI/ML integration.

Explore Apache Kafka's fundamentals, history, key concepts, and real-world applications. Learn how to deploy and manage Kafka using Canonical's Charmed Kafka solution.

Optimizing Kafka and EventBridge Pipes for ProSiebenSat.1's streaming service, addressing challenges, implementing architectural patterns, and enhancing system resilience and efficiency for millions of users.

Detailed analysis of Kafka performance optimization, exploring file system impact on latency. Covers Kafka internals, tracing, journaled file systems, and the switch from ext4 to XFS for 80% speed improvement.

Comprehensive exploration of Apache Kafka ecosystem: from basic concepts to advanced features, including topics, APIs, stream processing, and enterprise-grade capabilities.

Learn to create real-time survey bots using Apache Kafka® and ksqlDB. Explore data processing, schema usage, and Kafka architecture while building an interactive Telegram bot for pastry preference polling.

Learn to build a houseplant monitoring system using Raspberry Pi, Apache Kafka, and ksqlDB. Explore event-driven pipelines, stream processing, and real-time alerts for practical home automation projects.

Master building a real-time analytics database using Apache ecosystem tools including Kafka, Druid, and Superset. Learn data streaming, processing, and containerization with hands-on implementation.

Build a real-time data streaming pipeline using Apache Airflow, Kafka, Spark, and Cassandra. Learn end-to-end data engineering, from ingestion to processing and storage, all containerized with Docker.

Build an end-to-end data engineering pipeline for real-time YouTube Analytics, using Python, Google Cloud, Docker, and Kafka. Learn to fetch, process, and stream data, with instant Telegram notifications.

Implement real-time Change Data Capture streaming using Docker, Postgres, Debezium, Kafka, Apache Spark, and Slack. Create an efficient data pipeline for responsive data engineering projects.

Design, implement, and maintain secure, scalable lakehouse architectures using Apache Spark, Kafka, Flink, Delta Lake, AWS, and open-source tools. Unlock data's potential through advanced analytics and machine learning.