I corsi di formazione Microservices live condotti da istruttori locali dimostrano attraverso la pratica pratica i fondamenti dell'architettura dei microservizi e come sviluppare applicazioni di microservizi. L'addestramento sui microservizi è disponibile come "allenamento dal vivo in loco" o "allenamento dal vivo a distanza". La formazione on-site in loco può essere svolta localmente presso la sede del cliente in Italia o nei centri di formazione aziendale NobleProg in Italia . La formazione in remoto dal vivo viene effettuata tramite un desktop remoto interattivo. Microservices è anche noto come Microservice Architecture. NobleProg: il tuo fornitore di formazione locale
Machine Translated
Recensioni
La concretezza (applicabilità) delle informazioni ricevute durante il corso.
Roberto NATALE - SIA
Corso: Building Microservice Architectures
Machine Translated
Teoria fornita con un sacco di esempio preso sul campo. L'esperienza e i casi di studio sono molto utili nella materia a disposizione. L'insegnante è stato molto attento alle nostre esigenze e ci ha dato esattamente quello che abbiamo chiesto, qualcosa che raramente è fatto.
Oliviero Rossi - SIA
Corso: Building Microservice Architectures
Machine Translated
Profonda conoscenza e copertura della materia. Buona consegna e presentazione Rispettoso e coinvolgente con il pubblico. Persona molto carina
Nigel Baker
Corso: RabbitMQ
Machine Translated
Mi è piaciuto il fatto di essere stato in grado di fornire un input su quali aree mi aspettavo durante il corso, quindi il trainer ha apportato alcune modifiche per includerle.
Parminder Flora
Corso: RabbitMQ
Machine Translated
L'istruttore dà il suo tempo per spiegare gli argomenti e vediamo molto in dettaglio in merito all'installazione del software necessario per avere kafka corriendp
Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL
Corso: Distributed Messaging with Apache Kafka
Machine Translated
In generale mi è piaciuta la variabilità.
Sascha Matz
Corso: RabbitMQ
Machine Translated
Informativo e ho avuto il giusto livello di dettaglio, credo.
Asif Akhtar
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Ho davvero tratto beneficio dal facile da seguire.
Zach Henke
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Gli esercizi, e soprattutto quando non hanno funzionato (ovviamente è colpa mia ma la ricerca di guasti fa parte del lavoro).
Peter Hendriks
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Tutto andava bene.
Mateusz Piosik
Corso: RabbitMQ
Machine Translated
Facile da seguire, nonostante l'inglese non sia la nostra lingua madre. Un sacco di esempi pratici.
Joao Baltazar
Corso: Apache Camel
Machine Translated
Mi è piaciuta la teoria e poi l'approccio al codice.
Patrick Andersen
Corso: Apache Camel
Machine Translated
Mi è piaciuta soprattutto la conoscenza del Trainer.
Christian Langer
Corso: Distributed Messaging with Apache Kafka
Machine Translated
La teoria sembrava abbastanza completa, abbiamo trattato tutti i temi importanti. È stato molto bello poter fare uno zoom sul nostro caso d'uso Achievements, che ci ha aiutato a comprendere la teoria.
Henk Huybrechts
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
Mi sono piaciuti gli esempi pratici su come i concetti possono essere applicati.
Ministry of Home Affairs
Corso: RabbitMQ
Machine Translated
Mi è veramente piaciuta la spiegazione dei dettagli, documento ben preparato.
Allen Jeong
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Ho tratto beneficio dal consiglio pratico (per la configurazione e la gestione di Kafka).
OLAmobile
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Il numero di tecnologie coperte; Gli esempi in tempo reale e l'esecuzione del software in corso ;.
Florin Diaconu
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
I laboratori mi sono stati di grande aiuto per comprendere il concetto.
Juan Curiel
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
Ho tratto beneficio dagli esempi pratici, allenatore nuovo di cosa sta parlando.
Rumos
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Il formatore conosce molto bene Kafka e ha molta esperienza di produzione in materia.
Matej Puntra
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Generalmente ho tratto beneficio dalla buona serie di informazioni utili.
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
Le discussioni che ne sono uscite.
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
Le lezioni erano molto concise e al punto. Gli esercizi pratici sono stati molto utili, ci auguriamo di avere più mani in avanti in futuro.
Jayaraman Ramansubramaniam
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
In genere mi è piaciuto il materiale è buono.
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
Tecnicamente approfondito e aiuta nella risoluzione dei problemi e cerca di rispondere a tutte le domande anche se non è correlato all'argomento.
CGI
Corso: Apache Camel
Machine Translated
Ho tratto beneficio dalla vasta esperienza in materia con consigli pratici su come implementare l'ambiente di produzione nella vita reale.
Palawan Pawnshop - Palawan Express Pera Padala
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
Mi sono piaciute le discussioni sulle diverse infrastrutture con i modelli alla lavagna.
BOYET NAZON - Palawan Pawnshop - Palawan Express Pera Padala
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
Raccomando il suo stile di formazione per raggiungere individualmente i delegati e discutere una breve introduzione prima su un argomento, ogni volta che è necessario, prima di entrare nei dettagli. Infine, per fornire suggerimenti e riferimenti relativi alla formazione che possiamo utilizzare in futuro.
Hiel Umiten - Palawan Pawnshop - Palawan Express Pera Padala
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
L'allenatore è molto socievole e competente sull'argomento. Non vedo l'ora di essere di nuovo allenato da questo ragazzo fantastico.
Allan Rae Saac - Palawan Pawnshop - Palawan Express Pera Padala
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
La conoscenza e l'esperienza del trainer che è molto evidente nella sua lezione.
Palawan Pawnshop - Palawan Express Pera Padala
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
L'allenamento è stato guidato nella direzione desiderata dalla squadra. Il trainer è troppo bravo con una vasta esperienza nella gestione di concetti come scalabilità, prestazioni, standard di sviluppo e implementazione e molto rapido nella formazione nell'affrontare domande da diversi livelli come riguardo a codice, design, architettura e buone pratiche ecc.
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Concetti, il modo in cui è presentato, molto comunicativo, molto utile, ampia conoscenza.
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Tutti gli strumenti menzionati sono spiegati a fondo.
Michelle Baluran - Palawan Pawnshop - Palawan Express Pera Padala
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
Più illustrazione, meno presentazione visiva. Lo schema di una pipeline di micro servizi, come funziona dal client al server. Gli strumenti consigliati e riferimento.
Palawan Pawnshop - Palawan Express Pera Padala
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
Che era molto pratico.
FreelyIT
Corso: RabbitMQ with .NET
Machine Translated
Ho tratto beneficio dalla buona combinazione di teoria e maniere.
CACI bv
Corso: Apache Camel
Machine Translated
Mi piacevano soprattutto i laboratori manuali.
CACI bv
Corso: Apache Camel
Machine Translated
Mi è piaciuta soprattutto la quantità di argomenti trattati.
Ipreo
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Registrazione e scoperta del servizio Eureka.
准时达
Corso: Building Microservices with Spring Cloud and Docker
Machine Translated
Sono stato molto contento di come la formazione riguardasse tutti gli argomenti del curriculum e si focalizzasse su quelli di cui avevamo più bisogno.
Lilliahna Martin - Payspan, Inc.; Payspan, Inc.
Corso: RabbitMQ
Machine Translated
Essere in grado di parlare facilmente con l'allenatore.
VSC Technologies
Corso: Distributed Messaging with Apache Kafka
Machine Translated
L'approccio del coach, il modo di trasferire la conoscenza.
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
Machine Translated
modo di condurre, esercizi pratici
darek lesiak - Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
Machine Translated
argomenti
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Mi sono davvero piaciuti i numerosi esempi di codice.
Catriona Corley - PEAC Finance
Corso: Apache Camel
Machine Translated
interattività, contatto con l'allenatore e sua obiettività
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Buon contatto con gli ascoltatori, notevole conoscenza del trainer.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Corso: Distributed Messaging with Apache Kafka
Machine Translated
Generalmente ho tratto beneficio dalla buona serie di informazioni utili.
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
Le discussioni che ne sono uscite.
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
In genere mi è piaciuto il materiale è buono.
Corso: Systems and Service Architecture - Microservices Architecture
Machine Translated
Sottocategorie Microservice Architecture
Schema generale del corso Microservices
Nome del corso
Durata
Overview
Nome del corso
Durata
Overview
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.
- 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 hours
This training explores the microservices architectures and related patterns
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).
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 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
- 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 hours
In this instructor-led, live training in Italia, 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 hours
This instructor-led, live training in Italia 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 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
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 hours
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 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
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 hours
In this instructor-led, live training in Italia, participants will learn how to build microservices using Go (Golang) and Spring Cloud.
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
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 hours
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 hours
This instructor-led, live training in Italia (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 hours
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 hours
This instructor-led, live training in Italia (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 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).
14 hours
In this instructor-led, live training in Italia, 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 hours
This instructor-led, live training in Italia (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 hours
In this instructor-led, live training in Italia (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 hours
In this instructor-led, live training in Italia (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 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.
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
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 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
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 hours
In this instructor-led, live training in Italia (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 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.
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 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.
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 hours
This instructor-led, live training in Italia (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 hours
This instructor-led, live training in Italia (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 hours
This instructor-led, live training in Italia (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 hours
This instructor-led, live training in Italia (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.
Last Updated:
Prossimi corsi Microservices
29-12-2021 09:30
21 ore
24-01-2022 09:30
14 ore
24-01-2022 09:30
14 ore
01-02-2022 09:30
7 ore
10-02-2022 09:30
14 ore
Other countries
Consulting
Fine settimana Microservices corsi, Sera Microservice Architecture training, Microservice Architecture centro di addestramento, Microservice Architecture con istruttore, Fine settimana Microservice Architecture training, Sera Microservice Architecture corsi, Microservices coaching, Microservice Architecture istruttore, Microservices trainer, Microservice Architecture corsi di formazione, Microservice Architecture classi, Microservices in loco, Microservice Architecture corsi privati, Microservices training individuale
.png "new york stock exchange (nyse)")
.jpg "european molecular biology laboratory (embl)")
.png "european space agency (esa)")
