Praktyczne szkolenie na żywo z Microservices pokazuje jak poprzez praktyczne ćwiczenia opanować podstawy i zaawansowane koncepcje architektury mikroserwisów. Architektura mikroserwisowa to wariant stylu strukturalnego architektury zorientowanej na usługi - organizuje aplikację jako zbiór luźno powiązanych usług. W architekturze mikrousług usługi są bardzo szczegółowe, a protokoły są lekkieproblemów, może to oznaczać użycie metod statystycznych, eksploracyjnych i innych.
Szkolenia Microservices są dostępne jako "szkolenie na miejscu" lub "szkolenie na żywo". Szkolenie stacjonarne może odbywać się lokalnie w siedzibie klienta w Toruń lub w ośrodkach szkoleniowych NobleProg w Toruń. Zdalne szkolenie online odbywa się za pomocą interaktywnego, zdalnego pulpitu DaDesktop .
NobleProg -- Twój lokalny dostawca szkoleń.
Toruń
Sale szkoleniowe NobleProg, Bydgoska 1, Toruń, poland, 87-100
Sale szkoleniowe NobleProg w Toruniu znajdują się w biurze Coworking Toruń przy ulicy Bydgoskiej 1
Advanced Platform Engineering is the strategic application of microservices and Kubernetes to scale applications efficiently and reliably.This instructor-led, live training (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.By the end of this training, participants will be able to:
Design and implement scalable microservices architectures.
Deploy and manage applications on Kubernetes clusters.
Utilize Helm charts for efficient service deployment.
Monitor and maintain the health of microservices in production.
Apply best practices for security and compliance in a Kubernetes environment.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Microservices is an architectural approach based on developing applications from a collection of small services.
This instructor-led, live training (online or onsite) is aimed at experienced developers who wish to build, deploy, and scale applications using microservices built with NodeJS and React.
By the end of this training, participants will be able to:
Develop, deploy, and scale applications using different microservices.
Build a server-side rendered React application.
Deploy multi-service apps to the cloud using Docker and Kubernetes.
Perform application testing on microservices.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Spring Boot is a Java-based web application development framework that favors convention over configuration, allowing developers to create stand-alone, production-grade applications.
This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level developers who wish to develop microservices using Spring Boot, Docker, and Kubernetes.
By the end of this training, participants will be able to:
Understand the microservices architecture.
Build production-ready microservices using Spring Boot.
Understand the role of Docker in microservices.
Set up Kubernetes cluster to deploy microservices.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Apache Camel is a powerful open-source integration framework that provides a wide range of features to connect systems and applications.
This instructor-led, live training (online or onsite) is aimed at developers, integration architects, and system administrators who wish to master the art of advanced integration patterns and techniques using Apache Camel.
By the end of this training, participants will be able to:
Understand advanced integration patterns and techniques.
Implement complex routing and transformations.
Optimize performance and scalability.
Handle errors and exceptions in complex integration scenarios.
Integrate Apache Camel with various technologies and platforms.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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).
RabbitMQ is an open source message broker system for storing and retrieving messages passed by processes, applications, and servers. Spring is a Java framework. Using Java and Spring with RabbitMQ, users can create complex queues, exchanges, bindings, and more.
This instructor-led, live training (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
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
RabbitMQ is an open source enterprise messaging broker for storing and retrieving messages passed by processes, applications, and servers. It uses a message queue for processing tasks asynchronously and is especially useful in applications that need to process large data sets in the background, while concurrently responding to live user requests in real-time.
In this instructor-led, live training, 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.
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
RabbitMQ is an open source enterprise messaging broker for storing and retrieving messages passed by processes, applications, and servers. It uses a message queue for processing tasks asynchronously and is especially useful in applications that need to process large data sets in the background, while concurrently responding to live user requests in real-time.
In this instructor-led, live training (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.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
RabbitMQ is an open source messaging system that implements the Advanced Message Queuing Protocol (AMQP).
This instructor-led, live training (online or onsite) is aimed at developers and software engineers who wish to use RabbitMQ to communicate between microservices through messaging and perform advanced implementation and troubleshooting.
By the end of this training, participants will be able to:
Set up the necessary environment to start developing advanced messaging solutions with RabbitMQ.
Understand how to design a distributed microservices architecture with RabbitMQ.
Learn how to implement advanced configuration, security, networking, high availability, and replication.
Know the common issues encountered in RabbitMQ installations and how to resolve them.
Learn about memory optimization, flow control, and advanced performance tuning.
Apply some advanced troubleshooting techniques.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
The Java EE platform provides an API and runtime environment for developing and running large-scale, multi-tiered, scalable, reliable, and secure network applications. Docker and Kubernetes enable developers to package a Java application into a container and deploy it as a microservice in a Java EE environment.
This instructor-led, live training (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.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
RabbitMQ is an open source enterprise messaging broker for storing and retrieving messages passed by processes, applications, and servers. It uses a message queue for processing tasks asynchronously and is especially useful in applications that need to process large data sets in the background, while concurrently responding to live user requests in real-time.
In this instructor-led, live training (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.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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.
Microsoft Azure Service Fabric (ASF) is a platform as a service (PaaS) used for deploying scalable microservices-based cloud applications. This instructor-led, live training (online or onsite) is aimed at developers who wish to learn how to build microservices on Microsoft Azure Service Fabric (ASF).By the end of this training, participants will be able to:
Use ASF as a platform for building and managing microservices.
Understand key microservices programming concepts and models.
Create a cluster in Azure.
Deploy microservices on premises or in the cloud.
Debug and troubleshoot a live microservice application.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
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
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
Go (Golang) is a great language for building microservices due to its tiny memory footprint.
Spring Cloud is an open-source lightweight microservices framework.
In this instructor-led, live training, participants will learn how to build microservices using Go (Golang) and Spring Cloud.
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
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, 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.
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
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
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
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
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).
WSO2 API Manager is an open-source platform for publishing and managing APIs. It is an ideal choice for creating API-centric or IOT-driven architectures.
In this instructor-led, live training, 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.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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.
Apache Camel is an open source integration framework for transferring messages from different data sources to different target locations. With Spring Boot, users can build production grade Apache Camel applications for seamless integration.
This instructor-led, live training (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 to create integration solutions.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Kafka Connect is an API for moving large collections of data between Apache Kafka and other systems.
This instructor-led, live training (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.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (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.
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.
Stream Processing refers to the real-time processing of "data in motion", that is, performing computations on data as it is being received. Such data is read as continuous streams from data sources such as sensor events, website user activity, financial trades, credit card swipes, click streams, etc. Stream Processing frameworks are able to read large volumes of incoming data and provide valuable insights almost instantaneously.
In this instructor-led, live training (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.
Audience
Developers
Software architects
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.
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.
Apache Kafka is a messaging system for storing and processing high volumes of streaming, real-time data.
This instructor-led, live training (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.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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Opinie uczestników (25)
Francis' way of explaining is clear, he presents examples that help with the explanation
JUAN JOSÉ LÓPEZ MARTÍNEZ - Bisih
Szkolenie - Apache Kafka for Developers
Przetłumaczone przez sztuczną inteligencję
the technical preparation of teachers
Giorgio - Asystel-BDF S.p.A.
Szkolenie - Creating a Service Mesh with Istio and Kubernetes
The slides the lab documentation the explanations the use cases of our internal applications the atmosphere the participation of the whole team
ALIOUNE KASSE - Bizao
Szkolenie - WSO2 API Manager for Developers
Przetłumaczone przez sztuczną inteligencję
Could throw questions at him and he would jump to slides or example to try and show and answer all our questions
Johannes - Canon Medical Informatics Europe B.V.
Szkolenie - Administration of Kafka Topic
To the point, proper pace (bash basics required though)
Krzysztof - Agora SA
Szkolenie - Kafka for Administrators
Uważność trenera. Wziął pod uwagę zadane pytania i odpowiedział na nie następnego dnia.
Erwan - SNCF Connect & Tech
Przetłumaczone przez sztuczną inteligencję
Przyjazne środowisko. Podobał mi się również trening indywidualny. To bardzo produktywne. Zdecydowanie poleciłbym to miejsce moim przyjaciołom i współpracownikom.
Zeed - Tamkeen Technologies
Szkolenie - Building Microservices with NodeJS and React
Przetłumaczone przez sztuczną inteligencję
Ćwiczenia. Wykonywane samodzielnie okazują się nie tak proste jak to wygląda na wykładzie.
Łukasz - Centrum Informatyki Resortu Finansów
Dobre połączenie informacji praktycznych i teoretycznych. Angażująca prezentacja z przykładami z prawdziwego świata.
Anita
Szkolenie - Building Microservice Architectures
Przetłumaczone przez sztuczną inteligencję
The practices
Iván - si
Szkolenie - Spring Cloud for Microservices
Przekazywanie informacji w sposób zrozumiały nawet dla osób, które miały mały kontakt z architekturą Microservice,
Zajęcia praktyczne, gdzie można było na żywo zobaczyć, jak coś działa,
Wykorzystanie aktualnie wykorzystywanych narzędzi i technologii (InteliiJ, Docker Desktop, Java 17, Spring)
Szymon - Seth Software
Szkolenie - System Architecture, Service Architecture, and Microservice Architecture with Spring Cloud
Drawing on a whiteboard in real time as he explained, top experience. He knew to explain every topic.
Adrian Stanciu - DB Global Technology SRL
Szkolenie - Systems and Service Architecture - Microservices Architecture
The knowledge provided covered all aspects that we could need for our current apache camel implementations.
Leon - Vos Management & Logistical Development B.V.
Szkolenie - Apache Camel
on how khoebib help everyone if there is a problem.
Kim Justine Agoncillo - Metropolitan Bank and Trust Company
Szkolenie - Microservice Patterns: Migrating from a Monolithic to a Microservice Architecture with .Net
Praktyczne wykorzystanie RabbitMQ w środowisku .NET z naciskiem na DI.
Krzysztof Kupisz - Kredyt Inkaso IT Solutions Sp. z o.o.
Szkolenie - RabbitMQ with .NET
very friendly and helpful
Aktar Hossain - Unit4
Szkolenie - Building Microservices with Microsoft Azure Service Fabric (ASF)
Duża wiedza prowadzącego i dobry kontakt ze słuchaczami. Skupienie się na rzeczach, które faktycznie mogą być dla nas przydatne.
Kamil Bieszczad - Beekeeper
Szkolenie - Distributed Messaging with Apache Kafka
Flexibility to cover the subjects I am most intrested in
James Ferrier - OptoicoreIT
Szkolenie - Building Microservices with Go
very interactive...
Richard Langford
Szkolenie - SMACK Stack for Data Science
Atmosfera i praktyczny projekt a nie tylko sucha wiedza
Kamil Szczepaniak - Atos Poland R&D Sp zoo
Szkolenie - Building Microservices with Spring Cloud and Docker
Ogromna ilość praktycznej wiedzy przekazanej również w praktycznej formie. Podobało mi się, że trener jest praktykiem więc omawianie poszczególnych zagadnień było okraszone przykładami z życia i dobrymi praktykami. Widać, że trener jest pasjonatem technologii oraz lubi (i potrafi) przekazywać swoją wiedzę dalej. Życzę sobie i innym kursantom więcej takich szkoleń :)
Damian Suwała - Santander Bank Polska S.A.
Szkolenie - RabbitMQ with Java and Spring
Sufficient hands on, trainer is knowledgable
Chris Tan
Szkolenie - A Practical Introduction to Stream Processing
The sincerity about how technology evolve in time and what today is the best solution known tomorrow may be obsolete and with low performance.
Liviu Trifan - eMAG IT Research SRL
Szkolenie - Microservice Patterns: Migrating from a Monolithic to a Microservice Architecture
I liked that the lecturer was very well prepared and he managed to engage the audience. The course was a combination of theory and practice and I enjoyed it very much.
Maria Ilieva - Пейсейф България ЕООД
Szkolenie - Building Microservices with Spring Cloud and Netflix OSS
I liked his pace for training, it was optimum.
Edwards Mukasa - AFRINIC Ltd.
Szkolenie - Microservices with Spring Cloud and Kafka
