オンラインまたはオンサイトのインストラクター主導のライブマイクロサービストレーニングコースでは、マイクロサービス・アーキテクチャの基礎と、マイクロサービス・アプリケーションの開発方法を実践的な実践を通じて示します。
マイクロサービストレーニングは、「オンラインライブトレーニング」または「オンサイトライブトレーニング」として利用できます。オンラインライブトレーニング（別名「リモートライブトレーニング」）は、インタラクティブなリモートデスクトップで行われます。現地でのライブトレーニングは、日本のお客様のオフィスまたは日本のNobleProg提携の企業トレーニングセンターにて実施が可能です。
マイクロサービスは、マイクロサービス・アーキテクチャとも呼ばれます。
NobleProg - 現地のトレーニングプロバイダー
お客様の声
被験者の深い知識と範囲。良い配達とプレゼンテーション。観客を尊重し、魅了するとても素敵な人。
Nigel Baker
コース: RabbitMQ
Machine Translated
私は、コースで期待していた科目の分野に何らかのインプットを与えることができたことが好きだったので、トレーナーはそれらを取り入れるためにいくつかの変更を加えました。
Parminder Flora
コース: RabbitMQ
Machine Translated
講師はトピックを説明するのに彼の時間を与えます、そして我々はkafka corriendpを持っているために必要なソフトウェアのインストールの問題で多くに詳しく見ます
Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL
コース: Distributed Messaging with Apache Kafka
Machine Translated
私は一般的に変動性が気に入っていました。
Sascha Matz
コース: RabbitMQ
Machine Translated
有益で、正確なレベルの詳細を私は信じていた。
Asif Akhtar
コース: Distributed Messaging with Apache Kafka
Machine Translated
私は本当に簡単に従うことから恩恵を受けました。
Zach Henke
コース: Distributed Messaging with Apache Kafka
Machine Translated
練習問題、特にうまくいかなかったとき（明らかに私のせいだが、失敗発見は仕事の一部です）。
Peter Hendriks
コース: Distributed Messaging with Apache Kafka
Machine Translated
すべてが大丈夫でした。
Mateusz Piosik
コース: RabbitMQ
Machine Translated
英語が母国語ではないにもかかわらず、簡単にフォローできます。実用的な例がたくさんあります。
Joao Baltazar
コース: Apache Camel
Machine Translated
私は理論とコードアプローチを好きでした。
Patrick Andersen
コース: Apache Camel
Machine Translated
私は主にトレーナーの知識を気に入っていました。
Christian Langer
コース: Distributed Messaging with Apache Kafka
Machine Translated
理論は完全に感じられ、私たちはすべての重要な問題を扱った。ユースケースの成果を拡大して理論を理解するのに役立つことは非常にうれしくありました。
Henk Huybrechts
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
私は概念がどのように適用できるかについての実用的な例を楽しんだ。
Ministry of Home Affairs
コース: RabbitMQ
Machine Translated
私は真に詳細な説明、よく準備された文書を本当に好きだった。
Allen Jeong
コース: Distributed Messaging with Apache Kafka
Machine Translated
私は実用的なアドバイス（カフカの設定と管理）の恩恵を受けました。
OLAmobile
コース: Distributed Messaging with Apache Kafka
Machine Translated
対象となる技術の数。リアルタイムの例とコースでソフトウェアを実行する。
Florin Diaconu
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
ラボはこのコンセプトを理解するために私にとって非常に役に立ちました。
Juan Curiel
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
私は実践的な例から恩恵を受けていました。
Rumos
コース: Distributed Messaging with Apache Kafka
Machine Translated
トレーナーは本当にカフカをとてもよく知っていて、この問題で多くの生産経験を持っています。
Matej Puntra
コース: Distributed Messaging with Apache Kafka
Machine Translated
私は一般的に、有益な情報の恩恵を受けていました。
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
それから出てきた議論。
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
講義は非常に簡潔で重要なポイントでした。ハンズオン・エクササイズは非常に役立ちました。将来的にはより多くの実践をしたいと思っています。
Jayaraman Ramansubramaniam
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
私は一般的に材料が良いと好きだった。
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
技術的に徹底的でトラブルシューティングに役立ち、トピックに関連していなくてもすべての質問に答えようとします。
CGI
コース: Apache Camel
Machine Translated
実際の生産環境での実装方法に関する実践的なヒントを得て、私はこの件に関する膨大な経験の恩恵を受けました。
Palawan Pawnshop - Palawan Express Pera Padala
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
私はボード上のモデルとは異なるインフラストラクチャの議論を楽しんだ。
BOYET NAZON - Palawan Pawnshop - Palawan Express Pera Padala
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
私は彼の練習スタイルを代表者に個別に呼びかけ、必要に応じて最初に短い紹介を議論してから詳細に話し合うことを賞賛します。最後に、将来的に使用できるトレーニングに関する提案や参考資料を提供しています。
Hiel Umiten - Palawan Pawnshop - Palawan Express Pera Padala
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
トレーナーは非常に親しみやすく、主題について知識があります。この驚くべき男が再び訓練を受けるのを楽しみにしています。
Allan Rae Saac - Palawan Pawnshop - Palawan Express Pera Padala
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
彼の講義で明らかになったトレーナーの知識と経験。
Palawan Pawnshop - Palawan Express Pera Padala
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
トレーニングは、チームが望む方向に向けられました。トレーナーは、スケーラビリティ、パフォーマンス、開発および展開の標準などの概念を扱う豊富な経験と、コード、設計、アーキテクチャ、ベストプラクティスなどに関するさまざまなレベルからのクエリに対応するためのトレーニングに非常に迅速です。
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
コース: Distributed Messaging with Apache Kafka
Machine Translated
概念、それが提示する方法、非常にコミュニケーション、非常に有用な、広い知識。
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
コース: Distributed Messaging with Apache Kafka
Machine Translated
記載されているすべてのツールは完全に説明されています。
Michelle Baluran - Palawan Pawnshop - Palawan Express Pera Padala
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
より多くのイラストレーション、より少ないビジュアルプレゼンテーション。マイクロサービスのパイプライン図、クライアントからサーバーまでの動作推奨されるツールとリファレンス。
Palawan Pawnshop - Palawan Express Pera Padala
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
それは非常に実用的だった。
FreelyIT
コース: RabbitMQ with .NET
Machine Translated
私は理論と実践の良い組み合わせから利益を得ました。
CACI bv
コース: Apache Camel
Machine Translated
私は主に手作りラボが好きでした。
CACI bv
コース: Apache Camel
Machine Translated
私は主に話題の量を楽しんだ。
Ipreo
コース: Distributed Messaging with Apache Kafka
Machine Translated
ユーレカのサービス登録と発見。
准时达
コース: Building Microservices with Spring Cloud and Docker
Machine Translated
私はカリキュラムのすべてのトピックをカバーし、最も必要とされていたものに焦点を当てたトレーニングに非常に満足しました。
Lilliahna Martin - Payspan, Inc.; Payspan, Inc.
コース: RabbitMQ
Machine Translated
トレーナーと簡単に話せます。
VSC Technologies
コース: Distributed Messaging with Apache Kafka
Machine Translated
コーチのアプローチ、知識を伝達する方法。
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
コース: Distributed Messaging with Apache Kafka
Machine Translated
実施方法、実践的演習
darek lesiak - Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
コース: Distributed Messaging with Apache Kafka
Machine Translated
トピック
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
コース: Distributed Messaging with Apache Kafka
Machine Translated
私は本当にたくさんのコード例を楽しんでいました。
Catriona Corley - PEAC Finance
コース: Apache Camel
Machine Translated
インタラクティブ性、トレーナーとの接触、客観性
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
コース: Distributed Messaging with Apache Kafka
Machine Translated
リスナーとの良好な接触、トレーナーのかなりの知識。
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
コース: Distributed Messaging with Apache Kafka
Machine Translated
興味深い演習の例
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
コース: Distributed Messaging with Apache Kafka
Machine Translated
面白い演習で、Apache Kafkaのアーキテクチャーと操作をダイアグラムに示します。
Damian Niesteruk - Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
コース: Distributed Messaging with Apache Kafka
Machine Translated
知識は講師にとって間違いない利点です。
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
コース: Distributed Messaging with Apache Kafka
Machine Translated
実用的な生産上の問題への言及。
Orange Szkolenia Sp. zo.o.
コース: Building Microservices with Apigee Edge
Machine Translated
私は一般的に、有益な情報の恩恵を受けていました。
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
それから出てきた議論。
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
私は一般的に材料が良いと好きだった。
コース: Systems and Service Architecture - Microservices Architecture
Machine Translated
Microservice Architectureサブカテゴリ
マイクロサービスコース概要
コース名
期間
概要
コース名
期間
概要
21 時間
概要
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 時間
概要
This training explores the microservices architectures and related patterns
14 時間
概要
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 時間
概要
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 時間
概要
In this instructor-led, live training in 日本, 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 時間
概要
This instructor-led, live training in 日本 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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
In this instructor-led, live training in 日本, participants will learn how to build microservices using Go (Golang) and Spring Cloud.
14 時間
概要
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 時間
概要
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 時間
概要
This instructor-led, live training in 日本 (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 時間
概要
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 時間
概要
This instructor-led, live training in 日本 (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 時間
概要
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 時間
概要
In this instructor-led, live training in 日本, 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 時間
概要
This instructor-led, live training in 日本 (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 時間
概要
In this instructor-led, live training in 日本 (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 時間
概要
In this instructor-led, live training in 日本 (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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
In this instructor-led, live training in 日本 (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 時間
概要
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 時間
概要
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 時間
概要
This instructor-led, live training in 日本 (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 時間
概要
This instructor-led, live training in 日本 (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 時間
概要
This instructor-led, live training in 日本 (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 時間
概要
This instructor-led, live training in 日本 (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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週末Microservice Architectureコース, 夜のマイクロサービストレーニング, Microservice Architectureブートキャンプ, Microservice Architecture インストラクターよる, 週末Microservice Architectureトレーニング, 夜のマイクロサービスコース, マイクロサービス指導, Microservice Architectureインストラクター, マイクロサービスレーナー, マイクロサービスレーナーコース, Microservice Architectureクラス, Microservice Architectureオンサイト, Microservice Architectureプライベートコース, Microservice Architecture1対1のトレーニング週末Microservice Architectureコース, 夜のMicroservicesトレーニング, Microservicesブートキャンプ, Microservices インストラクターよる, 週末Microservicesトレーニング, 夜のMicroservicesコース, Microservices指導, Microservicesインストラクター, Microservicesレーナー, Microservice Architectureレーナーコース, Microservicesクラス, Microservicesオンサイト, Microservicesプライベートコース, Microservices1対1のトレーニング
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