Online or onsite, instructor-led live Microservices training courses demonstrate through hands-on practice the fundamentals of microservice architecture and how to develop microservice applications.
Microservices training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Microservices trainings in Michigan can be carried out locally on customer premises or in NobleProg corporate training centers.
Microservices is also known as Microservice Architecture.
NobleProg -- Your Local Training Provider
MI, Ann Arbor – South State Commons
2723 South State Street Suite 150, Ann Arbor, united states, 48104
The venue is located in the same building as Wells Fargo Advisors and Dykema, in the vicinity of Germain Honda of Ann Arbor a...
The venue is located in the same building as Wells Fargo Advisors and Dykema, in the vicinity of Germain Honda of Ann Arbor and Plante Moran.
This instructor-led, live training in Michigan (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.
This instructor-led, live training in Michigan (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.
This instructor-led, live training in Michigan (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.
This instructor-led, live training in Michigan (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.
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).
This instructor-led, live training in Michigan (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
In this instructor-led, live training in Michigan, 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.
In this instructor-led, live training in Michigan (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.
This instructor-led, live training in Michigan (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.
This instructor-led, live training in Michigan (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.
In this instructor-led, live training in Michigan (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.
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.
This instructor-led, live training in Michigan (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.
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
This instructor-led, live training in Michigan 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.
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).
In this instructor-led, live training in Michigan, 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.
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.
This instructor-led, live training in Michigan (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.
This instructor-led, live training in Michigan (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.
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.
In this instructor-led, live training in Michigan (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.
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.
This instructor-led, live training in Michigan (online or onsite) is aimed at sysadmins who wish to set up, deploy, manage and optimize an enterprise-grade Kafka cluster.
By the end of this training, participants will be able to:
Set up and administer a Kafka Cluster.
Evaluate the benefits and disadvantages of deploying Kafka on-premise vs in the cloud.
Deploy and monitor Kafka in using various on-premise and cloud environment tools.
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Testimonials (21)
Francis' way of explaining is clear, he presents examples that help with the explanation
JUAN JOSÉ LÓPEZ MARTÍNEZ - Bisih
Course - Apache Kafka for Developers
Machine Translated
the technical preparation of teachers
Giorgio - Asystel-BDF S.p.A.
Course - 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
Course - WSO2 API Manager for Developers
Machine Translated
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.
Course - Administration of Kafka Topic
To the point, proper pace (bash basics required though)
Krzysztof - Agora SA
Course - Kafka for Administrators
Listening to the trainer. He took into account the questions asked, and answered them the next day.
Erwan - SNCF Connect & Tech
Machine Translated
Friendly environment. Also, I liked one on one training. It’s very productive. I would definitely recommend it to my friends and colleagues.
Zeed - Tamkeen Technologies
Course - Building Microservices with NodeJS and React
Exercises. When done independently, they turn out to be not as simple as it looks during the lecture.
Łukasz - Centrum Informatyki Resortu Finansów
Machine Translated
I was a good mix of practical and theoretical information. Engaging presentation with real world examples.
Anita
Course - Building Microservice Architectures
The practices
Iván - si
Course - Spring Cloud for Microservices
Drawing on a whiteboard in real time as he explained, top experience. He knew to explain every topic.
Adrian Stanciu - DB Global Technology SRL
Course - 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.
Course - Apache Camel
on how khoebib help everyone if there is a problem.
Kim Justine Agoncillo - Metropolitan Bank and Trust Company
Course - Microservice Patterns: Migrating from a Monolithic to a Microservice Architecture with .Net
very friendly and helpful
Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)
Las explicaciones eran muy buenas, si bien algunas preguntas pudieron ahorrarse si se hubieran tocado esos puntos al inicio de los temas se notó un buen dominio y experiencia en el tema.
Alan Jaime Rodríguez García - BANCO DE MEXICO
Course - Stream Processing with Kafka Streams
Flexibility to cover the subjects I am most intrested in
James Ferrier - OptoicoreIT
Course - Building Microservices with Go
very interactive...
Richard Langford
Course - SMACK Stack for Data Science
Sufficient hands on, trainer is knowledgable
Chris Tan
Course - 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
Course - 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
Course - Building Microservices with Spring Cloud and Netflix OSS
I liked his pace for training, it was optimum.
Edwards Mukasa - AFRINIC Ltd.
Course - Microservices with Spring Cloud and Kafka
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