Advanced Microservices Course Overview

Advanced Microservices Course Overview

The Advanced Microservices course is designed to provide comprehensive training and certification for individuals looking to deepen their expertise in creating scalable and maintainable microservice architectures. It covers a wide array of advanced topics, beginning with Module 1, which includes lessons on Workflow automation using Camunda, object-oriented principles like Inheritance, Managing Transactions, Querying with JPQL, Implementing Sorting and Searching algorithms, Enhancements in Spring Framework, Caching with Spring Ehcache, Utilizing Spring Cloud for building cloud-native applications, understanding various Communication Styles, facilitating intercommunication between microservices, and integrating message brokers like RabbitMQ or Kafka.

Module 2 delves into orchestration with Kubernetes, Managing APIs with API Manager, securing applications with Spring Security, Using WSO2 for enterprise integration, Advanced configurations in Spring Boot, Leveraging new features in Java 11, Utilizing Model Mappers for object mapping, and Handling JSON data effectively.

This microservices training offers valuable knowledge for developers and architects, equipping them with the skills necessary to design, deploy, and manage microservices efficiently. Upon completion, participants can expect to receive a certification, affirming their proficiency in the field of microservices training.

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Course Prerequisites

To ensure a successful learning experience in the Advanced Microservices course, participants should meet the following minimum prerequisites:


  • Basic understanding of microservices architecture and its advantages over monolithic design patterns.
  • Familiarity with Spring Framework and Spring Boot, including experience with building simple applications.
  • Knowledge of Java programming language, at least up to Java 8, as the course will cover Java 11 features.
  • Experience with relational databases and SQL, as the course includes JPQL (Java Persistence Query Language).
  • Understanding of RESTful web services and API concepts.
  • Basic knowledge of messaging systems and asynchronous communication, which will be beneficial for understanding RabbitMQ or Kafka.
  • Familiarity with version control systems, such as Git, for source code management.
  • Awareness of containerization concepts, as Kubernetes will be a part of the course content.

While prior experience with tools and technologies such as Camunda, Ehcache, Spring Cloud, or WSO2 is beneficial, it is not a strict requirement as these will be covered during the training. The course is designed to build upon your existing knowledge and introduce you to more advanced concepts in microservices development and deployment.


Target Audience for Advanced Microservices

  1. The Advanced Microservices course offers in-depth training in scalable system design and integration using Spring, Kubernetes, and messaging systems.


  2. Targeted Job Roles/Audience:


  • Software Developers with a focus on Java and Spring Framework
  • System Architects seeking to design microservice-based architectures
  • DevOps Engineers aiming to manage containerized applications with Kubernetes
  • Application Developers interested in building scalable cloud-native applications
  • IT Professionals specializing in systems integration using messaging systems like RabbitMQ or Kafka
  • Technical Leads overseeing advanced application development and deployment strategies
  • Cloud Engineers working on API management and security with tools like WSO2
  • Software Engineers upgrading their skills to Java 11 and beyond
  • Enterprise Architects designing and implementing transactional systems with microservices
  • Full Stack Developers looking to enhance their backend skills with microservice patterns
  • Quality Assurance Engineers focusing on testing distributed systems
  • Technical Project Managers coordinating advanced software development projects


Learning Objectives - What you will Learn in this Advanced Microservices?

Introduction to the Advanced Microservices Course Learning Outcomes:

Gain expertise in microservices architecture with hands-on experience in Camunda workflows, enhanced Spring features, inter-service communication, and containerization with Kubernetes for scalable, efficient applications.

Learning Objectives and Outcomes:

  • Understand and implement workflows using Camunda, and manage complex business processes within microservices.
  • Apply inheritance and JPQL to create efficient data models and queries in a microservice context.
  • Manage transactions to ensure data integrity and consistency across services.
  • Utilize Spring Data for sorting and searching operations, enhancing microservice performance.
  • Enhance Spring applications with advanced features including caching with Spring Ehcache for improved response times.
  • Configure and deploy microservices using Spring Cloud for service discovery, configuration, and resilience.
  • Design and implement effective communication styles between microservices, including synchronous and asynchronous methods.
  • Set up message brokers like RabbitMQ or Kafka to enable reliable intercommunication between microservices.
  • Orchestrate microservices containers using Kubernetes to achieve high availability and scalability.
  • Secure microservices with Spring Security and manage APIs with API managers like WSO2, ensuring safe and controlled service interactions.

Technical Topic Explanation

Querying with JPQL

Querying with JPQL (Java Persistence Query Language) involves retrieving information from a database using an object-oriented approach specific to Java applications. Similar to SQL, JPQL allows developers to write queries focusing on entity objects and their attributes rather than the database's actual tables. This abstraction aligns with object-oriented programming principles, making it a natural fit for developers working in Java environments. JPQL is widely used in managing relational data within applications built on Java-based frameworks, aiding in creating, reading, updating, and deleting data efficiently while maintaining clarity and adherence to the Java ecosystem.

Implementing Sorting and Searching algorithms

Implementing sorting and searching algorithms involves organizing data in a structured manner and efficiently finding specific elements. Sorting algorithms arrange data into a particular order, such as ascending or descending, which simplifies tasks like data analysis or merging databases. Searching algorithms, on the other hand, help in quickly locating specific data within a dataset, critical for performance in applications where rapid access to information is necessary. Mastery of these algorithms enhances the functionality and efficiency of software systems, crucial in various programming and technology fields.

Enhancements in Spring Framework

The Spring Framework, essential for building robust Java applications, has enhanced its capabilities to better support Microservices architecture. Recent updates focus on simplifying the development process, improving scalability, and facilitating easier maintenance. Enhancements include more efficient data management, seamless cloud integration, and advanced security features. The framework now offers better tools for building resilient and independently deployable microservices, crucial for businesses aiming for agility and fast service delivery. These improvements in Spring are integral for professionals pursuing microservices training and certification, ensuring they are equipped with the latest skills in a competitive tech landscape.

Caching with Spring Ehcache

Caching with Spring Ehcache involves using the Ehcache framework, integrated into Spring applications, to store frequently accessed data temporarily. This approach speeds up the application by reducing the need to repeatedly query a database or perform compute-intensive operations. Spring's caching abstraction allows developers to declare cache behaviors on Java methods, simplify the management of cache data, and integrate with different cache providers like Ehcache. Ehcache itself manages memory efficiently and can scale with your application, making it ideal for improving the performance of enterprise-grade systems.

Utilizing Spring Cloud for building cloud-native applications

Spring Cloud is a framework for building cloud-native applications, designed to simplify the development of systems that leverage microservices architecture. It provides tools to quickly build and deploy scalable and agile microservices-focused projects. Using Spring Cloud, developers can easily handle configuration management, service discovery, circuit breakers, and routing. This facilitates the management of distributed systems infrastructure and can enhance development, especially when combined with a microservices training and certification program. Such training sharpens skills in creating robust cloud-based applications, using modular parts that work together for efficient application ecosystems.

Communication Styles

Communication styles refer to the ways in which individuals express themselves and interact with others. The main styles are assertive, aggressive, passive, and passive-aggressive. Each style impacts how messages are delivered and received within a group or organization. Effective communication involves understanding and adapting these styles to foster clear, respectful, and productive interactions. Embracing a predominantly assertive style is often recommended, as it promotes honesty and effectiveness while respecting others' rights and feelings, leading to more successful and harmonious interactions in both personal and professional environments.

Managing APIs with API Manager

Managing APIs with an API Manager involves overseeing the interfaces through which software applications communicate. An API Manager helps safeguard APIs with security protocols, monitors interactions to optimize performance, and organizes multiple APIs to ensure smooth interaction between different software services. This management is crucial for businesses utilizing Microservices architecture, which is a design approach where applications are built as a collection of independent services, improving the scalability and agility of applications. Proper API management supports the efficient operation and enhancement of these microservices, making it an essential skill in contemporary software development.

Using WSO2 for enterprise integration

WSO2 is a tool used for enterprise integration, effectively allowing different software systems within a large organization to communicate and operate together. It supports a robust framework based on Microservices architecture, which breaks down complex software into smaller, independent services that are easier to manage and update. By using WSO2, businesses can enhance their IT environments to be more adaptable and efficient, facilitating seamless data exchange and processes across diverse systems. This integration backbone is crucial for companies looking to streamline operations and leverage technology like microservices effectively for scalability and agility.

Advanced configurations in Spring Boot

Advanced configurations in Spring Boot involve fine-tuning your application settings to optimize performance and manage dependencies more effectively. This includes customizing how Spring Boot handles auto-configuration, creating your own starters to group common dependencies, and managing profiles to apply different configurations depending on the environment. It also involves setting up logging levels and externalizing configurations for security and flexibility. These configurations are pivotal, especially when building microservices with Spring Boot, as they support the development of robust, scalable, and efficient microservices architecture. This detailed setup ensures your application is well-prepared for complex business scenarios.

Utilizing Model Mappers for object mapping

Utilizing model mappers in software development involves tools that automatically convert data between objects that differ in type but represent the same concept. This process is essential in Microservices architecture where separate services communicate data efficiently. Model mappers help streamline this communication by reducing manual coding and potential errors, making them a core skill in microservices training and certification. They enhance the service’s ability to remain focused on its specific functionality without compromising data integrity or requiring excessive integration efforts.

Workflow automation using Camunda

Workflow automation using Camunda is a method of streamlining business processes through automation software. Camunda, a robust tool for workflow and decision automation, serves as an engine to design, deploy, and manage workflows efficiently. It helps automate repetitive tasks, orchestrate microservices, and integrate systems within an organization. This reduces the need for manual intervention, speeds up operations, and enhances accuracy, aligning closely with modern Microservices architecture. Camunda is particularly beneficial for organizations looking to implement scalable and maintainable solutions, often a core element in Microservices training and certification programs focused on improving system responsiveness and flexibility.

Managing Transactions

Managing transactions involves controlling and ensuring the integrity of data operations within a database or software application, especially in systems designed using Microservices architecture. It ensures that all parts of a data transaction are completed successfully and consistently. If any part of the transaction fails, the system reverses all operations to their original state to avoid data corruption or loss. This process is critical in systems where multiple, independent services interact, making transaction management in microservices environments particularly challenging but essential for system reliability and consistency.

Leveraging new features in Java 11

Java 11, the latest long-term support release, enhances Java's capabilities with new features focused on improving the efficiency and clarity of code while providing better performance. Key enhancements include a new HTTP Client API that supports HTTP/2, further aiding Java in microservices architecture where service communication is crucial. Local-Variable Syntax for Lambda parameters, introduced in this version, helps in making code more readable. These improvements can significantly benefit professionals in microservices training and certification courses by teaching streamlined development of scalable and efficient applications, aligning theoretical knowledge with practical execution in robust systems.

Handling JSON data effectively

Handling JSON data effectively involves processing and manipulating JavaScript Object Notation (JSON) data, a lightweight format for data interchange. It is commonly used in web applications for transmitting data between a server and a client. Learning to handle JSON effectively includes parsing JSON data to convert it into a usable format for programming languages, and generating JSON data from the application data to send responses back to clients. Mastery of these skills ensures efficient data communication and integration in developing modern web services and APIs, crucial for dynamic and responsive web applications.

Target Audience for Advanced Microservices

  1. The Advanced Microservices course offers in-depth training in scalable system design and integration using Spring, Kubernetes, and messaging systems.


  2. Targeted Job Roles/Audience:


  • Software Developers with a focus on Java and Spring Framework
  • System Architects seeking to design microservice-based architectures
  • DevOps Engineers aiming to manage containerized applications with Kubernetes
  • Application Developers interested in building scalable cloud-native applications
  • IT Professionals specializing in systems integration using messaging systems like RabbitMQ or Kafka
  • Technical Leads overseeing advanced application development and deployment strategies
  • Cloud Engineers working on API management and security with tools like WSO2
  • Software Engineers upgrading their skills to Java 11 and beyond
  • Enterprise Architects designing and implementing transactional systems with microservices
  • Full Stack Developers looking to enhance their backend skills with microservice patterns
  • Quality Assurance Engineers focusing on testing distributed systems
  • Technical Project Managers coordinating advanced software development projects


Learning Objectives - What you will Learn in this Advanced Microservices?

Introduction to the Advanced Microservices Course Learning Outcomes:

Gain expertise in microservices architecture with hands-on experience in Camunda workflows, enhanced Spring features, inter-service communication, and containerization with Kubernetes for scalable, efficient applications.

Learning Objectives and Outcomes:

  • Understand and implement workflows using Camunda, and manage complex business processes within microservices.
  • Apply inheritance and JPQL to create efficient data models and queries in a microservice context.
  • Manage transactions to ensure data integrity and consistency across services.
  • Utilize Spring Data for sorting and searching operations, enhancing microservice performance.
  • Enhance Spring applications with advanced features including caching with Spring Ehcache for improved response times.
  • Configure and deploy microservices using Spring Cloud for service discovery, configuration, and resilience.
  • Design and implement effective communication styles between microservices, including synchronous and asynchronous methods.
  • Set up message brokers like RabbitMQ or Kafka to enable reliable intercommunication between microservices.
  • Orchestrate microservices containers using Kubernetes to achieve high availability and scalability.
  • Secure microservices with Spring Security and manage APIs with API managers like WSO2, ensuring safe and controlled service interactions.