Explore Our Courses

Administration of Kafka Message Queue

 14 Hours
This instructor-led, live training in New Zealand (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.
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Advanced Platform Engineering: Scaling with Microservices and Kubernetes

 35 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.By the end of this training, participants will be able to:
  • Design and implement scalable microservices architectures.
  • Deploy and manage applications on Kubernetes clusters.
  • Utilize Helm charts for efficient service deployment.
  • Monitor and maintain the health of microservices in production.
  • Apply best practices for security and compliance in a Kubernetes environment.
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Administration of Kafka Topic

14 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at beginner-level to intermediate-level 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.
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Building Microservices with NodeJS and React

 21 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at experienced developers who wish to build, deploy, and scale applications using microservices built with NodeJS and React. By the end of this training, participants will be able to:
  • Develop, deploy, and scale applications using different microservices.
  • Build a server-side rendered React application.
  • Deploy multi-service apps to the cloud using Docker and Kubernetes.
  • Perform application testing on microservices.
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Apache Kafka and Spring Boot

 7 Hours
This instructor-led, live training in New Zealand (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.
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Building Microservices with Spring Boot, Docker, and Kubernetes

 21 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate to advanced-level developers who wish to develop microservices using Spring Boot, Docker, and Kubernetes. By the end of this training, participants will be able to:
  • Understand the microservices architecture.
  • Build production-ready microservices using Spring Boot.
  • Understand the role of Docker in microservices.
  • Set up Kubernetes cluster to deploy microservices.
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Apache Kafka for Developers

 21 Hours
This instructor-led, live training in New Zealand (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.
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RabbitMQ

 14 Hours
The course is intended for IT specialists that want to set up a solution based on RabbitMQ, the highly reliable enterprise messaging system that implements the Advanced Message Queuing Protocol (AMQP).
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RabbitMQ with Java and Spring

 14 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at software architects and web developers who wish to use RabbitMQ as a messaging middle-ware and program in Java using Spring to build applications. By the end of this training, participants will be able to:
  • Use Java and Spring with RabbitMQ to build applications.
  • Design asynchronous message driven systems using RabbitMQ.
  • Create and apply queues, topics, exchanges, and bindings in RabbitMQ
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RabbitMQ with .NET

 14 Hours
In this instructor-led, live training in New Zealand, participants will learn how to install, configure and administer RabbitMQ, then integrate RabbitMQ messaging into a number of sample .NET applications. By the end of this training, participants will be able to:
  • Setup, configure and manage RabbitMQ.
  • Understand RabbitQ's role in the design and implementation of a microservices architecture.
  • Understand how RabbitMQ compares to other Message Queuing Architectures.
  • Set up and use RabbitMQ as a broker for handling asynchronous and synchronous messages for real-world enterprise .Net applications.
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RabbitMQ with PHP

 14 Hours
In this instructor-led, live training in New Zealand (online or onsite), participants will learn how to decouple a PHP application, then integrate it with the RabbitMQ messaging system to create distributed cloud applications or microservices. By the end of this training, participants will be able to:
  • Setup, configure and manage RabbitMQ.
  • Understand RabbitMQ's role in the design and implementation of a microservice's architecture.
  • Set up and use RabbitMQ as a broker for handling asynchronous and synchronous messages for real-world PHP applications.
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Creating a Service Mesh with Istio and Kubernetes

 14 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at engineers who wish to connect, secure, and manage cloud-based applications (e.g., microservices) using an Istio-based service mesh. By the end of this training, participants will be able to:
  • Install and configure Istio on Kubernetes.
  • Understand service meshes and to implement one with Istio.
  • Deploy an Istio service mesh on top of Kubernetes.
  • Use a service mesh to run, manage and monitor microservices in the cloud.
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Microservice Development with Java EE 8, Docker, and Kubernetes

 28 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at developers who wish to containerize their Java EE 8 applications and run them as microservices in the cloud. By the end of this training, participants will be able to:
  • Build and deploy Java microservices in Docker containers.
  • Manage Docker containers using Kubernetes.
  • Integrate microservices with an existing monolithic system.
  • Monitor, test, and secure microservices.
  • Troubleshoot containers and orchestration environments.
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RabbitMQ with Python

 14 Hours
In this instructor-led, live training in New Zealand (online or onsite), participants will learn how to decouple a Python application, then integrate it with the RabbitMQ messaging system to create distributed cloud applications or microservices. By the end of this training, participants will be able to:
  • Setup, configure and manage RabbitMQ.
  • Understand RabbitMQ's role in the design and implementation of a microservice's architecture.
  • Understand how RabbitMQ compares to other Message Queuing Architectures.
  • Set up and use RabbitMQ as a broker for handling asynchronous and synchronous messages for real-world Python applications.
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Building Microservices with Apigee Edge

 21 Hours
Apigee Edge, which is built on Java, enables you to provide secure access to your services with a well-defined API that is consistent across all of your services, regardless of service implementation. A consistent API:
  • Makes it easy for app developers to consume your services.
  • Enables you to change the backend service implementation without affecting the public API.
  • Enables you to take advantage of the analytics, monetization, developer portal, and other features built into Edge.
Audience This course is directed at engineers, architects and developers seeking to utilize Apigee Edge in their projects.
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Building Microservice Architectures

14 Hours
This training explores the microservices architectures and related patterns
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Systems and Service Architecture - Microservices Architecture

 14 Hours
Building complex enterprise applications is very challenging in an ever-changing environment. Changes in the integration between services or systems will trigger changes in the design of the system. This course covers how to design maintainable, fit to the size and purpose of your organisation service and systems architecture and practical infrastructure. This course covers common problems with building the landscape of distributed apps, starting from integration problem, infrastructure and modern approaches, to solving complexity issues. This course explains the pros and cons of each solution (e.g. traditional SOA vs Microservice architecture), available tools (mostly open-source) supporting the development and maintenance, etc.. Course Format It is mostly discussion (with limited presentations).
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Getting Started with Consul

 7 Hours
HashiCorp is an open-source software company that provides tools for provisioning, securing and running infrastructure for distributed applications. Their DevOps suite includes:
  • Vault - for securing distributed applications
  • Terraform - for provisioning infrastructure and application resources across public cloud, private cloud, and external services
  • Nomad - a distributed, highly available, datacenter-aware cluster manager and scheduler for deploying applications on any infrastructure, at any scale.
  • Consul - for discovering and configuring services in your infrastructure.
This course focuses on Consul. We go over the Consul's architecture and features and carry out a live implementation and deployment of a Consul server.
Format of the Course
  • Part lecture, part discussion, heavy hands-on practice and implementation, occasional quizzing to measure progress
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WSO2 API Manager for Developers

 7 Hours
In this instructor-led, live training in New Zealand, participants will learn the features, concepts and standards behind WS02 API Manager. Theory will be coupled with live hands-on practice and implementation throughout the training. By the end of the course participants will have the knowledge and practice to deploy their own APIs using the core features of WS02 API Manager.
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Microservice Patterns: Migrating from a Monolithic to a Microservice Architecture

 14 Hours
This instructor-led, live training in New Zealand is aimed at enterprise developers and architects. It introduces microservice architecture, presents migration strategies from a monolithic system, and walks participants through the creation and deployment of a sample microservice-based application. By the end of this training, participants will be able to:
  • Understand when to use and when not to use microservice architecture.
  • Create and implement a testing strategy for microservices.
  • Deploy a sample microservice-based application into a production environment.
  • Refactor a monolithic application into services.
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Building Microservices with Node.js and Seneca

 14 Hours
Seneca is a microservices framework for Node.js. In this instructor-led, live training, participants will learn the fundamentals of Seneca as they step through practical examples of building micro services with Seneca. By the end of this training, participants will be able to:
  • Learn the fundamentals of Seneca
  • Use Seneca to build micro services
Audience
  • Developers
  • Programmers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Building Microservices with Python

 7 Hours
Microservices refer to an application architecture style that promotes the use of independent, self-contained programs. Python is a dynamic high-level programming language that is ideal for both scripting as welll as application development. Python's expansive library of open source tools and frameworks make it a practical choice for building microservices. In this instructor-led, live training, participants will learn the fundamentals of microservices as they step through the creation of a microservice using Python. By the end of this training, participants will be able to:
  • Understand the basics of building microservices
  • Learn how to use Python to build microservices
  • Learn how to use Docker to deploy Python based microservices
Audience
  • Developers
  • Programmers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Building Microservices with Go

 28 Hours
In this instructor-led, live training in New Zealand, participants will learn how to build microservices using Go (Golang) and Spring Cloud.
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Microservice Patterns: Migrating from a Monolithic to a Microservice Architecture with .Net

 14 Hours
Microservice architecture is an approach to developing a software application as a suite of small, independent services, each running in its own process and communicating with lightweight mechanisms such as an HTTP resource API. These services can be efficiently deployed using continuous automation systems and bypass the need for centralized management. Microservices can be written in different programming languages and integrate with different data storage systems. This instructor-led, live training is aimed at enterprise developers and architects. It introduces microservice architecture from a .Net perspective, presents migration strategies from a monolithic system, and walks participants through the creation and deployment of a sample microservice-based application. By the end of this training, participants will be able to:
  • Understand when to use and when not to use microservice architecture
  • Create and implement a testing strategy for microservices
  • Deploy a sample microservice-based application into a production environment
  • Refactor a monolithic application into services
Audience
  • Developers
  • Architects
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Building Microservices with Microsoft Azure Service Fabric (ASF)

 21 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at developers who wish to learn how to build microservices on Microsoft Azure Service Fabric (ASF).By the end of this training, participants will be able to:
  • Use ASF as a platform for building and managing microservices.
  • Understand key microservices programming concepts and models.
  • Create a cluster in Azure.
  • Deploy microservices on premises or in the cloud.
  • Debug and troubleshoot a live microservice application.
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Envoy Proxy

 14 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at engineers who wish to use Envoy Proxy to enable microservices to "talk to each other". By the end of this training, participants will be able to:
  • Install and configure Envoy Proxy.
  • Use Envoy Proxy to abstract the network and visualize problem areas with ease.
  • Resolve microservice issues related to networking and observability.
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Building Microservices with Lumen PHP Framework

 14 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at developers who wish to use Lumen to build Laravel-based microservices and applications. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start developing microservices with Lumen.
  • Understand the benefits of implementing microservices using Lumen and PHP.
  • Perform and implement the microservices functions and operations using the Lumen framework.
  • Protect and control access to the microservices architectures by building security layers.
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Traefik

 7 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at system administrators and developers who wish to deploy, manage, monitor, and operate microservices using Traefik. By the end of this training, participants will be able to:
  • Configure and launch Traefik through a Docker provider.
  • Enable secure and encrypted connections using Let's Encrypt.
  • Deploy and connect middleware to a router to transform service requests.
  • Monitor Traefik operations using the dashboard.
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Introduction to Apache Log4j

 14 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at software engineers who wish to use Apache Log4j for logging data and messages. By the end of this training, participants will be able to:
  • Use Apache Log4j for logging application messages and data.
  • Automate the configuration of appenders, pattern converters, layouts, and more.
  • Implement advanced filtering to all events before being passed to appenders.
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Apache Dubbo for Administrators and Developers

 14 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at software developers and system administrators who wish to use Apache Dubbo to develop microservices with high-throughput. By the end of this training, participants will be able to:
  • Develop an Apache Dubo application.
  • Support multiple service load balance strategies to reduce latency.
  • Apply service governance and maintenance with Apache Dubbo.
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Axon Framework

 21 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at developers who wish to use Axon to build well structured enterprise applications that leverage the power of CQRS and Event Sourcing. By the end of this training, participants will be able to:
  • Set up the development environment needed to create an Axon Framework application.
  • Implement the CQRS (Command Query Responsibility Segregation) and Event Sourcing architectural patterns to develop complex applications.
  • Apply the concepts of Domain Driven Design to their application design.
  • Build applications that focus on the business problem instead of the infrastructure.
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Spring Cloud for Microservices

 14 Hours
In this instructor-led, live training in New Zealand, we start with a discussion of microservice architecture. Participant knowledge is put to the test through exercises and the step-by-step development of sample microservices. By the end of this training, participants will have a solid understanding of how to use Spring Cloud and related Spring technologies to rapidly develop their own cloud-scale, cloud-ready microservices.
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System Architecture, Service Architecture, and Microservice Architecture with Spring Cloud

 21 Hours
In this instructor-led, live training in New Zealand, participants will learn how to evaluate different technologies and approaches for the design of a services-based system architecture. The training begins with a discussion and comparison of monolithic systems and service architectures, then digs into the details of microservice architecture. Participants are given a chance to put their knowledge into practice as they step through the creation and deployment of a set of proof-of-concept microservices built with Spring Cloud, Spring Boot and Docker.
Finally, the relevant infrastructure building blocks are examined to help participants determine the most suitable tools and approaches to use for different organizational requirements.
By the end of this training, participants will have a solid understanding of Service-Oriented Architecture (SOA) and Microservice Architecture as well practical experience using Spring Cloud and related Spring technologies for rapidly developing their own cloud-scale, cloud-ready microservices.
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Building Microservices with Spring Cloud and Docker

 21 Hours
In this instructor-led, live training in New Zealand, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Participant knowledge is put to the test through exercises and the step-by-step development of sample microservices. By the end of this training, participants will be able to:
  • Understand the fundamentals of microservices.
  • Use Docker to build containers for microservice applications.
  • Build and deploy containerized microservices using Spring Cloud and Docker.
  • Integrate microservices with discovery services and the Spring Cloud API Gateway.
  • Use Docker Compose for end-to-end integration testing.
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Building Microservices with Spring Cloud and Netflix OSS

 21 Hours
Spring Cloud is an open-source lightweight microservices framework for building Java applications for the cloud. Netflix OSS is a set of frameworks and libraries for developing microservices. Spring Cloud integrates nicely with Netflix components using auto configuration and convention over configuration. In this instructor-led, live training, participants will learn the fundamental concepts of building microservices using Spring Cloud and Netflix OSS. Participant knowledge is put to the test through exercises and the step-by-step development of sample microservices. By the end of this training participants will have a solid understanding of how to use Spring Cloud and related Spring technologies together with Netflix OSS to rapidly develop their own cloud-scale, cloud-ready microservices. Audience
  • Java Developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Microservices with Spring Cloud and Kafka

 21 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at developers who wish to transform traditional architecture into a highly concurrent microservices-based architecture using Spring Cloud, Kafka, Docker, Kubernetes and Redis. By the end of this training, participants will be able to:
  • Set up 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 to microservice based architecture.
  • Adopt a DevOps approach to developing, testing and releasing software.
  • Ensure high concurrency among microservices in production.
  • Monitor microservices and implement recovery strategies.
  • Carry out performance tuning.
  • Learn about future trends in microservices architecture.
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Developing Microservices on Google Cloud Apigee

 21 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at developers who wish to learn how to build, test, debug and deploy an API on top of Google Cloud's Apigee API Platform. By the end of this training, participants will be able to:
  • Set up a development environment that includes all needed resources to start developing an API.
  • Understand and implement the tools available within Apigee Edge.
  • Build and deploy an API to Google Cloud.
  • Monitor and debug API errors.
  • Leverage Google Cloud's analytics and machine learning solutions to make APIs more intelligent.
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Managing APIs with Apigee

 14 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at developers who wish to learn how to build, test, debug and deploy an API on top of Google Cloud's Apigee API Platform. By the end of this training, participants will be able to:
  • Set up a development environment that includes all needed resources to start developing an API.
  • Understand and implement the tools available within Apigee Edge.
  • Build and deploy an API to Google Cloud.
  • Monitor and debug API errors.
  • Leverage Google Cloud's analytics and machine learning solutions to make APIs more intelligent.
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Distributed Messaging with Apache Kafka

 14 Hours
This course is for enterprise architects, developers, system administrators and anyone who wants to understand and use a high-throughput distributed messaging system. If you have more specific requirements (e.g. only system administration side), this course can be tailored to better suit your needs.
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Samza for Stream Processing

 14 Hours
Apache Samza is an open-source near-realtime, asynchronous computational framework for stream processing.  It uses Apache Kafka for messaging, and Apache Hadoop YARN for fault tolerance, processor isolation, security, and resource management. This instructor-led, live training introduces the principles behind messaging systems and distributed stream processing, while walking participants through the creation of a sample Samza-based project and job execution. By the end of this training, participants will be able to:
  • Use Samza to simplify the code needed to produce and consume messages.
  • Decouple the handling of messages from an application.
  • Use Samza to implement near-realtime asynchronous computation.
  • Use stream processing to provide a higher level of abstraction over messaging systems.
Audience
  • Developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Stream Processing with Kafka Streams

 7 Hours
Kafka Streams is a client-side library for building applications and microservices whose data is passed to and from a Kafka messaging system. Traditionally, Apache Kafka has relied on Apache Spark or Apache Storm to process data between message producers and consumers. By calling the Kafka Streams API from within an application, data can be processed directly within Kafka, bypassing the need for sending the data to a separate cluster for processing. In this instructor-led, live training, participants will learn how to integrate Kafka Streams into a set of sample Java applications that pass data to and from Apache Kafka for stream processing. By the end of this training, participants will be able to:
  • Understand Kafka Streams features and advantages over other stream processing frameworks
  • Process stream data directly within a Kafka cluster
  • Write a Java or Scala application or microservice that integrates with Kafka and Kafka Streams
  • Write concise code that transforms input Kafka topics into output Kafka topics
  • Build, package and deploy the application
Audience
  • Developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Notes
  • To request a customized training for this course, please contact us to arrange
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A Practical Introduction to Stream Processing

 21 Hours
In this instructor-led, live training in New Zealand (onsite or remote), participants will learn how to set up and integrate different Stream Processing frameworks with existing big data storage systems and related software applications and microservices. By the end of this training, participants will be able to:
  • Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming.
  • Understand and select the most appropriate framework for the job.
  • Process of data continuously, concurrently, and in a record-by-record fashion.
  • Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.
  • Integrate the most appropriate stream processing library with enterprise applications and microservices.
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Building Kafka Solutions with Confluent

 14 Hours
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use 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 Confluent Platform.
  • Use Confluent's management tools and services to run Kafka more easily.
  • Store and process incoming stream data.
  • Optimize and manage Kafka clusters.
  • Secure data streams.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • 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 a customized training for this course, please contact us to arrange.
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Building Data Pipelines with Apache Kafka

 7 Hours
Apache Kafka is a distributed streaming platform. It is de facto a standard for building data pipelines and it solves a lot of different use-cases around data processing: it can be used as a message queue, distributed log, stream processor, etc. We'll start with some theory behind data pipelines in general, then continue with fundamental concepts behind Kafka. We'll also discover important components like Kafka Streams and Kafka Connect.
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Apache Kafka Connect

 7 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at 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.
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Confluent KSQL

 7 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at developers who wish to implement Apache Kafka stream processing without writing code. By the end of this training, participants will be able to:
  • Install and configure Confluent KSQL.
  • Set up a stream processing pipeline using only SQL commands (no Java or Python coding).
  • Carry out data filtering, transformations, aggregations, joins, windowing, and sessionization entirely in SQL.
  • Design and deploy interactive, continuous queries for streaming ETL and real-time analytics.
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Kafka for Administrators

 21 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at sysadmins who wish to set up, deploy, manage and optimize an enterprise-grade Kafka cluster. By the end of this training, participants will be able to:
  • Set up and administer a Kafka Cluster.
  • Evaluate the benefits and disadvantages of deploying Kafka on-premise vs in the cloud.
  • Deploy and monitor Kafka in using various on-premise and cloud environment tools.
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Security for Apache Kafka

 7 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at software testers who wish to implement network security measures into an Apache Kafka application. By the end of this training, participants will be able to:
  • Deploy Apache Kafka onto a cloud based server.
  • Implement SSL encryption to prevent attacks.
  • Add ACL authentication to track and control user access.
  • Ensure credible clients have access to Kafka clusters with SSL and SASL authentication.
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SMACK Stack for Data Science

 14 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at data scientists who wish to use the SMACK stack to build data processing platforms for big data solutions. By the end of this training, participants will be able to:
  • Implement a data pipeline architecture for processing big data.
  • Develop a cluster infrastructure with Apache Mesos and Docker.
  • Analyze data with Spark and Scala.
  • Manage unstructured data with Apache Cassandra.
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Apache Kafka for Python Programmers

 7 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Apache Kafka features in data streaming with Python. By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams using Python programming.
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Spark Streaming with Python and Kafka

 7 Hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Spark Streaming features in processing and analyzing real-time data. By the end of this training, participants will be able to use Spark Streaming to process live data streams for use in databases, filesystems, and live dashboards.
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Testimonials(23)

Engagement with the Trainer A number of relevant Exercises and Labs Practical Exams

Salim - SICPA SA

Course - Administration of Kafka Message Queue

the trainer competence

Vincenzo - Plus Innovation srl

Course - WSO2 API Manager for Developers

the technical preparation of teachers

Giorgio - Asystel-BDF S.p.A.

Course - Creating a Service Mesh with Istio and Kubernetes

interactive approach of the teacher, not a straight story but acting on the questions from the audience.

Rens - Canon Medical Informatics Europe B.V.

Course - Administration of Kafka Topic

The labs and the slides combine well with Jorge's knowledge and love for Kafka.

Willem - BMW SA

Course - Apache Kafka for Developers

Friendly environment. Also, I liked one on one training. It’s very productive. I would definitely recommend it to my friends and colleagues.

Zeed - Tamkeen Technologies

Course - Building Microservices with NodeJS and React

It was dynamic and very practical, in addition to the fact that a virtual machine was provided to us through a URL

Aida - ENGINEERING AND SERVICES JF S.A. DE C.V.

Course - Spring Cloud for Microservices

The topics covered in the training and the trainer's knowledge about the topics.

Sajid Baloch - Eschbach GmbH

Course - Microservice Patterns: Migrating from a Monolithic to a Microservice Architecture with .Net

very friendly and helpful

Aktar Hossain - Unit4

Course - Building Microservices with Microsoft Azure Service Fabric (ASF)

Flexibility to cover the subjects I am most intrested in

James Ferrier - OptoicoreIT

Course - Building Microservices with Go

very interactive...

Richard Langford

Course - SMACK Stack for Data Science

Detailed information provided on the more advanced topics requested.

Farukh Khan - Tandem Solution

Course - RabbitMQ with Java and Spring

Sufficient hands on, trainer is knowledgable

Chris Tan

Course - A Practical Introduction to Stream Processing

Grate skills, examples, very good exercises

Marek Konieczny - G2A.COM Limited

Course - Kafka for Administrators

The trainer was very knowledgeable. he also organised to show us Realtime work remotely.

Chandani Singh - Hertz Europe Service Centre Limited

Course - Microservice Patterns: Migrating from a Monolithic to a Microservice Architecture

Practical examples, and open disussions

Nenad Terzic - Пейсейф България ЕООД

Course - Building Microservices with Spring Cloud and Netflix OSS

The course was excellent. Our trainer Andreas was very prepared and answered all the questions that we asked. Also he helped us when we have troubles and explained in details when needed. The best course that i have ever been part of.

Bozhidar Marinov - Пейсейф България ЕООД

Course - Microservices with Spring Cloud and Kafka

Recalling/reviewing keypoints of the topics discussed.

Paolo Angelo Gaton - SMS Global Technologies Inc.

Course - Building Stream Processing Applications with Kafka Streams

The concreteness (applicability) of the information received during the course.

Roberto NATALE - SIA

Course - Building Microservice Architectures

The theory felt quite complete, we handled all important subjects. It was very nice we could zoom in on our use-case Achievements, which helped us with understanding the theory.

Henk Huybrechts

Course - Systems and Service Architecture - Microservices Architecture

Easy to follow, despite English not being our native language. Lots of practical examples.

Joao Baltazar

Course - Apache Camel

Informative and had correct level of detail I believe.

Asif Akhtar

Course - Distributed Messaging with Apache Kafka

Deep knowledge and coverage of the subject. Good delivery and presentation. Respectful and engaging with the audience. Very nice person.

Nigel Baker

Course - RabbitMQ

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