
Learn how Maersk migrated from Confluent to self-managed Apache Kafka on Kubernetes using Strimzi, including architecture, implementation, monitoring, and self-service solutions for their Event Streaming Platform.

Explore Nubank's journey in modernizing their Kafka platform to handle 1 trillion monthly messages, including migration strategies, cell-based architecture, and cluster specialization for optimized workload management.

Explore Strimzi's solutions for partial multi-tenancy in Kafka, including topic creation, least privilege enforcement, and noisy neighbor mitigation. Learn how LittleHorse Cloud leverages Strimzi CRDs for efficient management.

Discover the importance of software upgrades for Strimzi and Apache Kafka, focusing on security and support benefits. Learn practical upgrade methods through demonstrations.

Discover how Apache Pulsar serves as a scalable messaging platform, offering unified data streaming, multi-tenancy, and seamless integration with container environments - all while providing an alternative to traditional message brokers.

Discover how Kubernetes has evolved to effectively manage stateful applications, from databases and big data to machine learning workloads on Google Kubernetes Engine.

Explore vector search at billion-scale through Milvus, understanding distributed systems architecture, indexing strategies, and scalability solutions for unstructured data processing.

Leveraging Knative for scalable ML inference platforms: simplifying deployment, enabling serverless containers, and optimizing performance for production-ready machine learning applications.

Explore Fastly's Autopilot system for optimizing edge network traffic, focusing on telemetry pipeline, k8s-based platform, and key operators like Strimzi Kafka. Learn about challenges in network-related use cases.

Explore patterns for modern data integration using Apache Kafka. Learn to build fast, scalable, and manageable data pipelines for reliable stream processing and low-latency applications.

Explore Event-Driven Architectures, focusing on orchestration and choreography patterns for scalable systems using Apache Kafka, Camel K, and Argo Workflows on Kubernetes.

Learn to build secure, resilient Kafka streaming apps on Kubernetes using 12-factor principles. Explore Lenses.io's SQL Engine and overcome deployment challenges for portable, cloud-native applications.

Explore streaming data pipelines on Apache Mesos, covering tools like Kafka, Spark, and Flink. Learn about Mesos features, implementation details, and lessons from real-world applications.

Learn to build robust stateful applications on DC/OS using the SDK. Explore storage provisioning, scaling, client discovery, operator management, and failure resilience for distributed systems like Apache Kafka and Cassandra.

Explore MLSecOps on Kubernetes: Automate real-time and offline ML model evaluations using KServe, Knative, Apache Kafka, and Trusted-AI tools for enhanced security and monitoring in production environments.

Explore event-driven autoscaling for serverless Java using KEDA and Knative on Kubernetes, focusing on Apache Kafka metrics for efficient scaling beyond traditional resource-based methods.

Explore the Unidirectional Topic Operator for Strimzi, streamlining Kafka topic management in Kubernetes. Learn about scalability improvements, KRaft mode support, and declarative configurations for efficient operations.

Explore Debezium for real-time data streaming with MongoDB. Learn deployment topologies, outbox pattern implementation, and building scalable architectures for efficient data synchronization.

Explore event-driven autoscaling for serverless Java on Kubernetes using KEDA and Knative, focusing on Apache Kafka metrics for efficient scaling.

Explore event-driven messaging systems, focusing on Apache Pulsar's unique capabilities in supporting both streaming and queueing semantics for modern, cloud-native applications.

Automate SQL Server change data capture into Event Hub using Debezium. Learn to streamline data transfer for serverless architectures.