Apache Kafka Training in Argentina

Confluent Apache Kafka is an enterprise-grade distributed event streaming platform built on Apache Kafka. It supports high-throughput, fault-tolerant data pipelines and real-time streaming applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and administrators who wish to deploy, configure, and optimize Confluent Kafka clusters in production environments.

By the end of this training, participants will be able to:

• Install, configure, and operate Confluent Kafka clusters with multiple brokers.
• Design high-availability setups using Zookeeper and replication techniques.
• Tune performance, monitor metrics, and apply recovery strategies.
• Secure, scale, and integrate Kafka with enterprise environments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Confluent Apache Kafka is a distributed event streaming platform engineered for high-throughput, fault-tolerant data pipelines and real-time analytics.

This instructor-led live training, available online or onsite, targets intermediate-level system administrators and DevOps professionals seeking to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

Upon completion of this training, participants will be able to:

• Grasp the components and architecture of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and essential services.
• Configure advanced features such as security, replication, and performance tuning.
• Utilize management tools to monitor and maintain Kafka clusters.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Argentina (online or onsite) targets intermediate-level Java developers who want to integrate Apache Kafka into their applications for reliable, scalable, and high-throughput messaging.

Upon completion of this training, participants will be capable of:

• Gaining insight into the architecture and core components of Kafka.
• Setting up and configuring a Kafka cluster.
• Producing and consuming messages using Java.
• Implementing Kafka Streams for real-time data processing.
• Ensuring fault tolerance and scalability in Kafka applications.

This instructor-led, live training in Argentina (online or onsite) targets intermediate-level system administrators who aim to effectively utilize Kafka's message queuing features.

By the end of this training, participants will be able to:

• Understand Kafka's message queuing capabilities and architecture.
• Configure Kafka topics for message queuing scenarios.
• Produce and consume messages using Kafka.
• Monitor and manage Kafka as a message queue.

This instructor-led, live training in Argentina (online or onsite) is designed for beginner to intermediate system administrators seeking to learn how to effectively manage Kafka topics for optimal data streaming and processing.

By the conclusion of this training, participants will be able to:

• Understand the basics and architecture of Kafka topics.
• Create, configure, and manage Kafka topics.
• Monitor Kafka topics for health, performance, and availability.
• Implement security measures for Kafka topics.

This instructor-led, live training in Argentina (online or onsite) is aimed at intermediate-level developers who wish to learn the fundamentals of Kafka and integrate it with Spring Boot.

By the end of this training, participants will be able to:

• Understand Kafka and its architecture.
• Learn how to install, configure, and set up a basic Kafka environment.
• Integrate Kafka with Spring Boot.

This instructor-led live training in Argentina (online or onsite) is designed for intermediate developers who aim to develop big data applications with Apache Kafka.

By the end of this training, participants will be able to:

• Build Kafka producers and consumers to transmit and receive data from Kafka.
• Connect Kafka with external systems via Kafka Connect.
• Develop streaming applications using Kafka Streams & ksqlDB.
• Link a Kafka client application to Confluent Cloud for cloud-based Kafka deployments.
• Acquire practical skills through hands-on exercises and real-world scenarios.

This instructor-led, live training in Argentina (online or onsite) is tailored for developers aiming to integrate Apache Kafka with current databases and applications to facilitate processing, analysis, and more.

Upon completion of this training, participants will be able to:

• Leverage Kafka Connect to load large datasets from databases into Kafka topics.
• Ingest log data produced by application servers into Kafka topics.
• Ensure collected data is readily available for stream processing.
• Export data from Kafka topics to secondary systems for storage and analysis.

This course is designed for enterprise architects, developers, system administrators, and anyone interested in understanding and utilizing high-throughput distributed messaging systems. If you have specific requirements, such as focusing solely on the system administration aspects, the curriculum can be customized to better meet your needs.

This instructor-led, live training in Argentina (online or onsite) is tailored for beginner-level, intermediate-level, and advanced-level system administrators and operations engineers who aim to deploy, secure, monitor, and troubleshoot Apache Kafka clusters.

By the end of this training, participants will be able to explain Kafka architecture and KRaft mode, operate and secure Kafka clusters, monitor performance and reliability metrics, and resolve common production issues.

This live, instructor-led training in Argentina (online or onsite) targets developers who aim to transition traditional architectures into a highly concurrent, microservices-based structure using Spring Cloud, Kafka, Docker, Kubernetes, and Redis.

By the end of this training, participants will be able to:

• Establish the necessary development environment for building microservices.
• Design and implement a highly concurrent microservices ecosystem using Spring Cloud, Kafka, Redis, Docker, and Kubernetes.
• Transform monolithic and SOA services into a microservice-based architecture.
• Adopt a DevOps approach to software development, testing, and release.
• Ensure high concurrency among microservices in production.
• Monitor microservices and implement recovery strategies.
• Carry out performance tuning.
• Learn about future trends in microservices architecture.