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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
10 spots per session maximum — 9 already taken
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The Training Kafka Clients - Optimizing Scalable Data Streams training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Kafka Clients - Optimizing Scalable Data Streams training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Kafka Clients - Optimizing Scalable Data Streams training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Advanced configuration of Kafka producer clients. Batch and compression management. Implementation of callbacks and retries. Hands-on practice on concrete enterprise cases. Exercises on maximum throughput. Red thread project: producer for e-commerce streams. Optimization of ACKs and idempotence. Performance tests with Kafka tools. Secure TLS/SASL integration. JMX metrics analysis. Debugging common errors. Setting up a simulated cluster. Professional exercises on horizontal scaling. (112 words)
Development of advanced Kafka consumers. Consumer group management. Dynamic rebalancing and heartbeats. Implementation of exactly-once with transactions. Hands-on practice on streaming logs. Red thread project: consumer for real-time analytics. Manual offset configuration. Management of assigned partitions. Exercises on fault-tolerance. Integration with Kafka Streams clients. Optimization of batch consumption. Resilience tests under load. Concrete enterprise IoT cases. Monitoring with Kafka tools. Debugging consumption lags. Vertical and horizontal scaling. (124 words)
Advanced topologies with Kafka clients. Integration with Spring Boot or Akka. Full Kerberos/OAuth security. Deployment in Kubernetes with clients. Final red thread project: end-to-end pipeline. Production deployment with Prometheus monitoring. Global performance optimization. Exercises on multi-clusters. Schema management with Schema Registry clients. Endurance tests and chaos engineering. Professional finance and logistics cases. Writing certified configurations. Evaluation of the red thread project. DevOps best practices for Kafka clients. Post-training support. (118 words)
Target audience
Data engineers, backend developers, streaming architects for skill development in enterprise settings
Prerequisites
Proficiency in Java/Python/Scala, Kafka basics (topics, partitions, brokers)
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