Microservices Training in Maia

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level Java developers who wish to integrate Apache Kafka into their applications for reliable, scalable, and high-throughput messaging. By the end of this training, participants will be able to:

• Understand the architecture and core components of Kafka.
• Set up and configure a Kafka cluster.
• Produce and consume messages using Java.
• Implement Kafka Streams for real-time data processing.
• Ensure fault tolerance and scalability in Kafka applications.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level to advanced-level developers, DevOps professionals, and architects who wish to design, deploy, and manage resilient applications using microservices, containers, and continuous integration/continuous deployment (CI/CD) pipelines. By the end of this training, participants will be able to:

• Understand and implement microservices architecture.
• Deploy and manage containerized applications with Docker and Kubernetes.
• Set up and optimize CI/CD pipelines for automated deployments.
• Apply best practices for security, monitoring, and observability.

This instructor-led, live training in Maia (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 Maia (online or onsite) is aimed at intermediate-level Java developers who wish to design, develop, deploy, and maintain microservices-based applications using Java frameworks like Spring Boot and Spring Cloud. By the end of this training, participants will be able to:

• Understand the principles and benefits of microservices architecture.
• Build and deploy microservices using Java and Spring Boot.
• Implement service discovery, configuration management, and API gateways.
• Secure, monitor, and scale microservices effectively.
• Deploy microservices using Docker and Kubernetes.

This instructor-led, live training in Maia (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.

This instructor-led, live training in Maia (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 Maia (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to build, deploy, and manage microservices using Spring Cloud and Docker. By the end of this training, participants will be able to:

• Develop microservices using Spring Boot and Spring Cloud.
• Containerize applications with Docker and Docker Compose.
• Implement service discovery, API gateways, and inter-service communication.
• Monitor and secure microservices in production environments.
• Deploy and orchestrate microservices using Kubernetes.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level to advanced-level developers and architects who wish to develop Java native applications and microservices using Quarkus with optimized memory usage and startup time.By the end of this training, participants will be able to:

• Develop high-performance, lightweight Java native applications using Quarkus.
• Build and deploy RESTful services and microservices architectures.
• Use GraalVM for native compilation and optimize startup and memory efficiency.
• Package and containerize applications for Kubernetes and OpenShift environments.

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 Maia (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 Maia (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.

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 Maia (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 in Maia (online or onsite) is aimed at developers who wish to learn how to build, test, debug and deploy an API on top of Google Cloud's Apigee API Platform. By the end of this training, participants will be able to:

• Set up a development environment that includes all needed resources to start developing an API.
• Understand and implement the tools available within Apigee Edge.
• Build and deploy an API to Google Cloud.
• Monitor and debug API errors.
• Leverage Google Cloud's analytics and machine learning solutions to make APIs more intelligent.

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 Maia (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.

This instructor-led, live training in Maia (online or onsite) is aimed at engineers who wish to use Envoy Proxy to enable microservices to "talk to each other". By the end of this training, participants will be able to:

• Install and configure Envoy Proxy.
• Use Envoy Proxy to abstract the network and visualize problem areas with ease.
• Resolve microservice issues related to networking and observability.

This instructor-led, live training in Maia (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.

This instructor-led, live training in Maia (online or onsite) is aimed at developers who wish to use Lumen to build Laravel-based microservices and applications. By the end of this training, participants will be able to:

• Set up the necessary development environment to start developing microservices with Lumen.
• Understand the benefits of implementing microservices using Lumen and PHP.
• Perform and implement the microservices functions and operations using the Lumen framework.
• Protect and control access to the microservices architectures by building security layers.

In this instructor-led, live training in Maia, participants will learn how to evaluate different technologies and approaches for the design of a services-based system architecture. The training begins with a discussion and comparison of monolithic systems and service architectures, then digs into the details of microservice architecture. Participants are given a chance to put their knowledge into practice as they step through the creation and deployment of a set of proof-of-concept microservices built with Spring Cloud, Spring Boot and Docker.
Finally, the relevant infrastructure building blocks are examined to help participants determine the most suitable tools and approaches to use for different organizational requirements.
By the end of this training, participants will have a solid understanding of Service-Oriented Architecture (SOA) and Microservice Architecture as well practical experience using Spring Cloud and related Spring technologies for rapidly developing their own cloud-scale, cloud-ready microservices.

In this instructor-led, live training in Maia, participants will learn how to build microservices using Go (Golang) and Spring Cloud.

This instructor-led, live training in Maia 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.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level software developers, system architects, and DevOps professionals who wish to build scalable and maintainable applications using a microservices architecture. By the end of this training, participants will be able to:

• Understand the core principles of microservices architecture.
• Design and implement scalable microservice-based systems.
• Apply design patterns and best practices for microservices.
• Implement event-driven approaches such as CQRS and event sourcing.
• Address challenges in system operations and microservices adoption.

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 in Maia (online or onsite) is aimed at data scientists who wish to use the SMACK stack to build data processing platforms for big data solutions. By the end of this training, participants will be able to:

• Implement a data pipeline architecture for processing big data.
• Develop a cluster infrastructure with Apache Mesos and Docker.
• Analyze data with Spark and Scala.
• Manage unstructured data with Apache Cassandra.

This instructor-led, live training in Maia (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Spark Streaming features in processing and analyzing real-time data. By the end of this training, participants will be able to use Spark Streaming to process live data streams for use in databases, filesystems, and live dashboards.

This instructor-led, live training in Maia (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.

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).

This instructor-led, live training in Maia (online or onsite) is aimed at system administrators and developers who wish to deploy, manage, monitor, and operate microservices using Traefik. By the end of this training, participants will be able to:

• Configure and launch Traefik through a Docker provider.
• Enable secure and encrypted connections using Let's Encrypt.
• Deploy and connect middleware to a router to transform service requests.
• Monitor Traefik operations using the dashboard.

In this instructor-led, live training in Maia, 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.