
Explore key event-driven architecture patterns for robust, decoupled service communication using Apache Kafka. Learn to implement claim-check, content enricher, message translator, and outbox patterns through live demos.

Explore strategies for autoscaling Confluent Cloud resources. Learn when and how to implement scaling for cloud-based Kafka, handle ephemeral workloads, and create effective monitoring policies for optimal performance.

Explore Kafka Streams' internal architecture for efficient application deployment and tuning. Learn threading models, partition assignment, and key configurations to optimize performance and scalability.

Explore Apache Kafka's ecosystem, including Producer and Consumer libraries, Connect, Streams, and Schema Registry. Gain insights for implementing Kafka in your organization.

Explore Apache Pinot's real-time analytics capabilities for user-facing applications, leveraging streaming data from Apache Kafka to deliver rapid insights across diverse business domains.

Explore tradeoffs between workflow engines and event streaming brokers for microservices communication. Compare Apache Kafka and Temporal, examining their strengths and implementation challenges in various use cases.

Explore data modernization with Confluent and AWS. Learn migration strategies, cloud capabilities, and real-time streaming potential. Gain insights from success stories and best practices for unlocking data value.

Develop a real-time threat detection system using Kafka Streams. Learn to handle dynamic rule modifications, implement external data feeds, and apply best practices for stream processing.

Explore the evolution of real-time machine learning techniques, addressing low latency, dynamic data adaptability, and resource efficiency challenges in modern ML systems.

Explore the architecture and design of a real-time analytics platform, featuring sub-second latency, cloud-native services, and CDC streams for efficient data processing and customer insights.

Learn to manage massive IoT device networks using Kafka and MQTT for real-time data ingestion, analysis, and control in applications like vehicle communication and predictive maintenance.

Aprende a implementar el patrón CQRS utilizando Debezium, PostgreSQL, Redis y Kafka para mejorar el rendimiento y la escalabilidad de tus aplicaciones Java con Spring Boot.

Crea funciones FaaS utilizando Java, Spring Boot y Spring Cloud. Explora las ventajas de la arquitectura sin servidor y desarrolla un ejemplo práctico.

Aprende a crear una Data Pipeline eficiente utilizando fluentbit, Kafka, Python y PostgreSQL. Domina la generación de KPIs y explora herramientas como CloudBeaver.

Aprende a instalar Apache Airflow, crear DAGs, utilizar operadores, ejecutar workflows, comunicar tareas y manejar el cliente CLI y API REST en este tutorial práctico.

Explora DuckDB, una base de datos veloz y liviana para análisis, ETL, scripting y microservicios. Aprende sus ventajas y aplicaciones prácticas.

Aprende a desplegar aplicaciones Serverless, contenedores y Kubernetes en Amazon AWS. Configura AWS CLI, redes EC2, clusters EKS y realiza despliegues en ECS para dominar DevOps en la nube.

Explore sidecar-less service mesh alternatives, overcoming operational challenges and complexity while enhancing network communication for applications.

Explore OpenFeature, a vendor-neutral standard for feature flagging. Learn implementation, building, deployment, and management of your first feature in cloud-native applications.

Harness Kubernetes for cloud-native development environments. Learn to mirror production setups, catch errors early, and boost productivity using Okteto CLI. Includes live demo and hands-on workshop exercise.

Streamline Kubernetes add-on management across multiple clusters using Sveltos. Learn centralized configuration, event-driven frameworks, and version control for efficient, consistent deployments at scale.