Security for Apache Kafka Training Course

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 on-site) 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 effectively.

Format of the Course

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

Course Customization Options

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

This instructor-led live training in Romania (online or onsite) targets developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, etc.

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

• Use Kafka Connect to ingest large amounts of data from a database into Kafka topics.
• Ingest log data generated by an application servers into Kafka topics.
• Make any collected data available for stream processing.
• Export data from Kafka topics into secondary systems for storage and analysis.

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

This instructor-led live training (available online or onsite) is designed for intermediate-level engineers and administrators looking 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 featuring multiple brokers.
• Design high-availability architectures leveraging Zookeeper and replication techniques.
• Tune performance, monitor key metrics, and implement recovery strategies.
• Secure, scale, and integrate Kafka within enterprise environments.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training (available online or onsite) is designed for engineers who want to leverage Confluent—a distribution of Kafka—to build and manage a real-time data processing platform for their applications.

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

• Install and configure the Confluent Platform.
• Utilize Confluent's management tools and services to simplify Kafka operations.
• Store and process incoming stream data.
• Optimize and manage Kafka clusters.
• Secure data streams.

Course Format

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

Course Customization Options

• This course is based on the open-source version of Confluent: Confluent Open Source.
• To request customized training for this course, please contact us to arrange.

Apache Kafka serves as a distributed streaming platform and has become the industry standard for developing data pipelines. It addresses a wide array of data processing scenarios, functioning effectively as a message queue, distributed log, or stream processor.

Our journey begins with an exploration of the theoretical foundations of data pipelines, followed by an in-depth look at the core principles of Kafka. Additionally, we will examine essential components such as Kafka Streams and Kafka Connect.

Through this instructor-led live training in Romania (onsite or remote), attendees will learn how to configure and integrate various Stream Processing frameworks with existing big data storage solutions, as well as related software applications and microservices.

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

• Installing and configuring various Stream Processing frameworks, such as Spark Streaming and Kafka Streaming.
• Understanding the characteristics of different frameworks and selecting the most suitable one for specific tasks.
• Processing data continuously, concurrently, and on a record-by-record basis.
• Integrating Stream Processing solutions with existing databases, data warehouses, data lakes, and other systems.
• Integrating the most appropriate stream processing library into enterprise applications and microservices.

Designed for enterprise architects, developers, system administrators, and anyone seeking to master high-throughput distributed messaging systems. We can customize the curriculum to focus on specific areas, such as system administration, to better align with your individual requirements.

This instructor-led, live training in Romania (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level system administrators and operations engineers who wish to use Apache Kafka to deploy, secure, monitor, and troubleshoot 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, and resolve common production issues.

This instructor-led, live training in Romania (online or onsite) is aimed at intermediate-level developers who wish to develop big data applications with Apache Kafka.

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

• Develop Kafka producers and consumers to send and read data from Kafka.
• Integrate Kafka with external systems using Kafka Connect.
• Write streaming applications with Kafka Streams & ksqlDB.
• Integrate a Kafka client application with Confluent Cloud for cloud-based Kafka deployments.
• Gain practical experience through hands-on exercises and real-world use cases.

This instructor-led live training, delivered Romania (online or onsite), is intended for data engineers, data scientists, and developers seeking to apply Apache Kafka features to data streaming with Python.

By the end of this session, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams via Python programming.

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

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

• Understand the architecture and core components of Kafka.
• Set up and configure a Kafka cluster.
• Produce and consume messages using Java.
• Implement Kafka Streams for real-time data processing.
• Ensure fault tolerance and scalability in Kafka applications.

This instructor-led, live training in Romania (online or onsite) is aimed at intermediate-level system administrators who wish to harness Kafka's message queuing features effectively.

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 Romania (online or onsite) is designed for intermediate-level developers looking to master Kafka fundamentals and integrate it with Spring Boot.

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

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

Kafka Streams is a client-side library designed for developing applications and microservices that exchange data with a Kafka messaging system. Historically, Apache Kafka has depended on Apache Spark or Apache Storm to handle data transmission between message producers and consumers. However, by invoking the Kafka Streams API within an application, data can be processed directly inside Kafka, eliminating the necessity to route it to a separate cluster for processing.

In this instructor-led live training, participants will learn how to integrate Kafka Streams into sample Java applications that facilitate data exchange with Apache Kafka for stream processing.

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

• Comprehend the features and advantages of Kafka Streams compared to other stream processing frameworks
• Process stream data directly within a Kafka cluster
• Develop Java or Scala applications or microservices that integrate with Kafka and Kafka Streams
• Write concise code to transform input Kafka topics into output Kafka topics
• Build, package, and deploy the application

Audience

• Developers

Format of the course

• A combination of lectures, discussions, exercises, and extensive hands-on practice

Notes

• To request a customized training for this course, please contact us to make arrangements

This instructor-led, live training in Romania (online or in-person) is aimed at beginner to intermediate system administrators who wish to learn how to effectively manage Kafka topics for efficient data streaming and processing.

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

• Understand Kafka topic fundamentals and architecture.
• Create, configure, and manage Kafka topics.
• Monitor Kafka topics for health, performance, and availability.
• Implement security measures for Kafka topics.