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Sessions are guaranteed from 1 registered participant (except in cases of force majeure).
This training course is part of our DevOps Training Courses. Discover our complete DevOps offer to go further in automation, CI/CD and infrastructure industrialisation.
By the end of this training course, each participant will be able to:
Good foundations in software development (Java, Python or equivalent). Knowledge of messaging systems or distributed architecture (a plus). Comfortable with command line and local deployment (Linux/Windows).
Ideal for developers, architects, DevOps/DataOps engineers, or integration managers wishing to master real-time data streaming with Apache Kafka.
Apache Kafka is a distributed, high-throughput data streaming and messaging platform. It enables systems to publish, store and consume event streams in real time, with strong fault tolerance. It is used for event-driven architectures, log aggregation, CDC and real-time analytics. MFE-IT trains developers and architects.
Kafka is a distributed log designed for high throughput and long-term event retention, with a pull-based consumer model. RabbitMQ is an AMQP broker built around message queues, optimised for fine-grained routing and push-based delivery. Kafka excels at streaming and event sourcing; RabbitMQ at transactional exchanges.
Centralised log aggregation, real-time pipelines (Kafka Streams, Flink), event sourcing, CDC with Debezium, asynchronous microservices, metrics and IoT telemetry. MFE-IT illustrates these use cases with concrete examples and explains architectural choices (partitions, keys, consumers, failure recovery).
The training lasts 3 days (21 hours), either remotely or in-person, with a maximum of 3 participants per session and 30 days of post-training support included.