Місцеві, інструктора під керівництвом в прямому ефірі навчальних курсів демонструють через практичний практиці основи мікросервісних архітектура і як розробляти мікросервіс додатків.
Мікропослуги тренінг доступний як "на місці навчання" або "дистанційне навчання жити". На місці навчання в прямому ефірі може здійснюватися на місцевому рівні в україні або в Неbleprog корпоративні навчальні центри в україні. Дистанційне навчання в прямому ефірі здійснюється шляхом інтерактивного, віддаленого робочого стола.
Мікропослуги також називають архітектурою Мікросервісу.
Nobleпрога-ваш місцевий навчальний провайдер
Machine Translated
Відгуки
Глибокі знання і охоплення предмета. Go вручення та презентацію. Шанобливе і взаємодія з аудиторією. Дуже хороша людина.
Nigel Baker
Курси: RabbitMQ
Machine Translated
Мені сподобався той факт, що я зміг надати деякі введення в які суб'єкти області я очікував на курсі, отже, тренер зробив деякі зміни, щоб включити їх.
Parminder Flora
Курси: RabbitMQ
Machine Translated
Інструктор бере свій час у поясненні теми, і ми бачимо багато докладно про установку програмного забезпечення, необхідного для Кафки runendp
Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL
Курси: Distributed Messaging with Apache Kafka
Machine Translated
мінливість
Sascha Matz
Курси: RabbitMQ
Machine Translated
Інформативний і мав правильний рівень деталізації я вірю.
Asif Akhtar
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Я дійсно була вигода від легко дотримуватися.
Zach Henke
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Вправи, і особливо, коли вони не працюють (очевидно, моя вина, але несправність знаходження є частиною роботи).
Peter Hendriks
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Все було добре.
Mateusz Piosik
Курси: RabbitMQ
Machine Translated
Легко дотримуватися, незважаючи на англійську не будучи нашою рідною мовою. Багато практичних прикладів.
Joao Baltazar
Курси: Apache Camel
Machine Translated
Мені сподобалася теорія, то кодекс підхід.
Patrick Andersen
Курси: Apache Camel
Machine Translated
Я в основному любив знання тренера.
Christian Langer
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Теорія відчувала себе цілком повним, ми впорався з усіма важливими предметами. Це було дуже приємно, що ми могли б збільшити на наш прецедентне досягнення, яке допомогло нам зрозуміти теорію.
Henk Huybrechts
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Мені подобалося практичні приклади про те, як можуть застосовуватися концепції.
Ministry of Home Affairs
Курси: RabbitMQ
Machine Translated
Мені дійсно подобалася деталь пояснень, добре підготовлений документ.
Allen Jeong
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Я отримав вигоду від практичних порад (за Кафки конфігурації та управління).
OLAmobile
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Кількість покритих технологій; У реальному часі приклади і запуск програмного забезпечення на звичайно;.
Florin Diaconu
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Лабораторії були дуже корисні для мене, щоб зрозуміти концепцію.
Juan Curiel
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Я отримав вигоду з практичних прикладів, тренер новий те, що він говорить.
Rumos
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Тренер дійсно знає Кафки дуже добре, і має багато виробничого досвіду в цьому питанні.
Matej Puntra
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Я взагалі був корисний з хорошим набором корисної інформації.
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Дискусії, які вийшли з нього.
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Лекції були дуже лаконічними і до цієї точки. Практичний вправи були дуже корисними, ми бажаємо, щоб у нас було більше рук-на майбутнє.
Jayaraman Ramansubramaniam
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Я взагалі любив матеріал добре.
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Технічно ретельне і допомагає в усуненні несправностей і намагається відповісти на всі питання, навіть якщо він не пов'язаний з цією темою.
CGI
Курси: Apache Camel
Machine Translated
Я отримав вигоду від величезного досвіду з цього питання практичні поради про те, як реалізувати в реальному житті виробничого середовища.
Palawan Pawnshop - Palawan Express Pera Padala
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Мені подобалося обговорення різних інфраструктур з моделями на дошці.
BOYET NAZON - Palawan Pawnshop - Palawan Express Pera Padala
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Я високо оцінюю свій стиль підготовки до делегатів індивідуально і обговорювати короткий вступ спочатку на предмет, коли це необхідно, перш ніж в деталях. І, нарешті, для надання пропозицій і посилань, пов'язаних з навчанням, що ми можемо використовувати в майбутньому.
Hiel Umiten - Palawan Pawnshop - Palawan Express Pera Padala
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Тренер дуже доступним і добре обізнаний про цю тему. Дивлячись вперед, щоб навчатися знову цього дивного хлопця.
Allan Rae Saac - Palawan Pawnshop - Palawan Express Pera Padala
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Знання і досвід тренера, який є дуже очевидним на його лекції.
Palawan Pawnshop - Palawan Express Pera Padala
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Навчання спрямовувалося в тому напрямку, якого хотіла команда. Тренер занадто гарний, має великий досвід роботи з такими поняттями, як масштабованість, продуктивність, стандарти розробки та розгортання, і дуже швидко навчається вирішенню запитів різних рівнів, таких як код, дизайн, архітектура та кращі практики тощо.
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Концепції, як вона представлена, дуже комунікабельність, дуже корисні, широкі знання.
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Всі згадані інструменти ретельно пояснені.
Michelle Baluran - Palawan Pawnshop - Palawan Express Pera Padala
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Більше ілюстрацій, менше візуальної презентації. Діаграма трубопроводу мікро-послуг, як це працює від клієнта до сервера. Рекомендовані інструменти та посилання.
Palawan Pawnshop - Palawan Express Pera Padala
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Що це було дуже практично.
FreelyIT
Курси: RabbitMQ with .NET
Machine Translated
Я отримав вигоду від гарного поєднання теорії і практичний.
CACI bv
Курси: Apache Camel
Machine Translated
Я в основному любив руку на лабораторіях.
CACI bv
Курси: Apache Camel
Machine Translated
Я в основному користувався кількість теми покриті.
Ipreo
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Я був дуже задоволений тим, як тренінг охоплював усі теми у навчальній програмі та орієнтувався на ті теми, які нам найбільше потрібні.
Lilliahna Martin - Payspan, Inc.; Payspan, Inc.
Курси: RabbitMQ
Machine Translated
Можна легко говорити з тренером.
VSC Technologies
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Тренер підхід, спосіб спілкування знань.
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Спосіб проведення, практична вправа
darek lesiak - Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Предметом
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Я справді насолоджувався безліччю прикладів коду.
Catriona Corley - PEAC Finance
Курси: Apache Camel
Machine Translated
Інтерактивність, контакт з тренером і його іменник
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Хороший контакт з слухачами, багато знань про тренера.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Цікаві приклади вправ
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Цікаві вправи, представлення архітектури і метод Apache Kafka роботи на схемах.
Damian Niesteruk - Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Знання - це безсумнівна перевага лектора.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Курси: Distributed Messaging with Apache Kafka
Machine Translated
Посилання на практичні проблеми виробництва.
Orange Szkolenia Sp. zo.o.
Курси: Building Microservices with Apigee Edge
Machine Translated
Мені сподобався практичний підхід до навчання.
Heynen BV
Курси: RabbitMQ
Machine Translated
Я взагалі був корисний з хорошим набором корисної інформації.
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Дискусії, які вийшли з нього.
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Я взагалі любив матеріал добре.
Курси: Systems and Service Architecture - Microservices Architecture
Machine Translated
Microservice Architecture Підкатегорії
Microservice Architecture Зміст курсу
Назва курсу
Тривалість
Огляд
Назва курсу
Тривалість
Огляд
21 годин
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.
- 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.
14 годин
This training explores the microservices architectures and related patterns
14 годин
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).
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).
7 годин
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
- 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
7 годин
In this instructor-led, live training in україні, 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.
14 годин
This instructor-led, live training in україні 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.
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.
14 годин
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
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
7 годин
Gilliam is an open-source platform intended for Micro Service Architectures that allows users to easily develop, deploy, and scale their application backend.
In this instructor-led, live training, participants will learn how to work with Gilliam in building micro services.
By the end of this training, participants will be able to:
- Learn the fundamentals of Gilliam
- Use Gilliam to build micro services
Audience
- Developers
- Programmers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to work with Gilliam in building micro services.
By the end of this training, participants will be able to:
- Learn the fundamentals of Gilliam
- Use Gilliam to build micro services
Audience
- Developers
- Programmers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
7 годин
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
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
28 годин
In this instructor-led, live training in україні, participants will learn how to build microservices using Go (Golang) and Spring Cloud.
14 годин
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
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
21 годин
Microsoft Azure Service Fabric (ASF) is a platform as a service (PaaS) used for deploying scalable microservices-based cloud applications.
In this instructor-led, live training, participants will 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
Audience
- Developers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
- To request a customized training for this course, please contact us to arrange.
- To learn more about Service Fabrice, please see: https://github.com/Microsoft/service-fabric
In this instructor-led, live training, participants will 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
Audience
- Developers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
- To request a customized training for this course, please contact us to arrange.
- To learn more about Service Fabrice, please see: https://github.com/Microsoft/service-fabric
28 годин
This instructor-led, live training in україні (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.
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.
21 годин
The course is intended for system integrators who want to learn about Apache Camel as a rule-based routing and mediation engine that provides a Java object-based implementation of the Enterprise Integration Patterns.
14 годин
This instructor-led, live training in україні (online or onsite) is aimed at web developers who wish to program in Spring Boot to build Apache Camel applications.
By the end of this training, participants will be able to:
- Develop Apache Camel applications with Spring Boot.
- Apply error monitoring and alerting for Apache Camel applications.
- Use Apache Camel for integration solutions.
By the end of this training, participants will be able to:
- Develop Apache Camel applications with Spring Boot.
- Apply error monitoring and alerting for Apache Camel applications.
- Use Apache Camel for integration solutions.
14 годин
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).
14 годин
In this instructor-led, live training in україні, 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.
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.
14 годин
This instructor-led, live training in україні (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
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
14 годин
In this instructor-led, live training in україні (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.
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.
14 годин
In this instructor-led, live training in україні (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.
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.
14 годин
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.
14 годин
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
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
7 годин
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
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
21 годин
In this instructor-led, live training in україні (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.
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.
14 годин
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.
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.
7 годин
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.
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.
21 годин
This instructor-led, live training in україні (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.
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.
7 годин
This instructor-led, live training in україні (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.
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.
7 годин
This instructor-led, live training in україні (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.
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.
21 годин
This instructor-led, live training in україні (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.
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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