Microservices Training in Almada

Confluent Apache Kafka is a distributed event streaming platform engineered for high-throughput, fault-tolerant data pipelines and real-time analytics.

This instructor-led live training, available online or onsite, is tailored for intermediate-level system administrators and DevOps professionals aiming to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

Upon completion of this training, participants will be able to:

• Comprehend the components and architecture of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and essential services.
• Configure advanced features, including security, replication, and performance tuning.
• Utilize management tools to monitor and maintain Kafka clusters.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led live training in Almada (online or onsite) is designed for intermediate system administrators aiming to effectively utilize Kafka's message queuing features.

By the end of the training, participants will be able to:

• Understand Kafka's message queuing capabilities and architecture.
• Configure Kafka topics for message queuing scenarios.
• Produce and consume messages using Kafka.
• Monitor and manage Kafka as a message queue.

This instructor-led, live training in Almada (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 Almada (online or onsite) is designed for advanced-level platform engineers and DevOps professionals who wish to master application scaling 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 Almada (online or onsite) is aimed at intermediate-level developers who wish to learn the fundamentals of Kafka and integrate it with Spring Boot.

By the end of this training, participants will be able to:

• Understand Kafka and its architecture.
• Learn how to install, configure, and set up a basic Kafka environment.
• Integrate Kafka with Spring Boot.

This instructor-led, live training in Almada (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 Almada (available online or onsite) is tailored for intermediate to advanced developers seeking to master the development of microservices using Spring Boot, Docker, and Kubernetes.

By the end of this training, participants will be able to:

• Comprehend microservices architecture principles.
• Build production-ready microservices using Spring Boot.
• Understand the critical role of Docker in containerizing microservices.
• Configure Kubernetes clusters to deploy and orchestrate microservices.

This instructor-led, live training in Almada (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.

This course is designed for IT professionals seeking to deploy solutions using RabbitMQ, a robust enterprise messaging system built on the Advanced Message Queuing Protocol (AMQP).

This instructor-led, live training in Almada (online or onsite) is aimed at software architects and web developers who wish to use RabbitMQ as a messaging middleware 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 Almada, 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.

Istio is an open-source service mesh that operates on Kubernetes to deliver secure, observable, and manageable connectivity between microservices. By utilising Istio’s Envoy-based sidecar proxies, teams can enforce policies, secure communications via mTLS, gain deep visibility into traffic patterns, and enhance reliability at scale.

This instructor-led, live training (available online or onsite) is designed for intermediate-level engineers looking to deploy, secure, and manage microservices applications using Istio on Kubernetes.

By the end of this training, participants will be able to:

• Install and configure Istio on Kubernetes clusters.
• Understand and apply service mesh concepts, including traffic management, security, and observability.
• Deploy microservices applications within an Istio service mesh.
• Secure service-to-service communications using mutual TLS (mTLS) and Zero Trust principles.
• Monitor, trace, and troubleshoot microservices using Prometheus, Grafana, and Jaeger.
• Integrate Istio with Calico for advanced network policies and security.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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.

In this instructor-led live training Almada (online or on-site), participants will learn how to decouple a Python application and integrate it with the RabbitMQ messaging system to create distributed cloud applications or microservices.

Upon completion of this training, participants will be able to:

• Set up, configure, and manage RabbitMQ.
• Understand RabbitMQ's role in the design and implementation of microservice architecture.
• Comprehend how RabbitMQ compares to other Message Queuing architectures.
• Configure and utilise RabbitMQ as a broker for handling both asynchronous and synchronous messages in real-world Python applications.

This course is designed for system integrators eager to master Apache Camel, a rule-based routing and mediation engine that offers a Java-centric implementation of Enterprise Integration Patterns.

Built on Java, Apigee Edge empowers you to deliver secure access to your services through a well-defined API. This ensures a consistent interface across all your services, irrespective of their underlying implementation. A consistent API:

• Simplifies service consumption for application developers.
• Allows you to modify backend service implementations without impacting the public API.
• Enables you to leverage built-in Edge features such as analytics, monetization, and the developer portal.

Audience

This course is designed for engineers, architects, and developers who aim to utilize Apigee Edge in their projects.

This instructor-led live training in Almada (available online or onsite) is designed for developers who want to learn how to build microservices using Microsoft Azure Service Fabric (ASF).

By the conclusion of this training, participants will be able to:

• Utilize ASF as a platform for building and managing microservices.
• Understand core 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 course offers a comprehensive, hands-on journey through the design, construction, and operation of cloud-native microservices. With an emphasis on practical implementation over theoretical concepts, it guides participants from domain modeling and service design through to deployment, observability, and resilience within production environments.

Participants will engage in building a real-world microservices architecture, learning to avoid common pitfalls such as distributed monoliths, while adopting best practices for scalability, maintainability, and operational excellence.

Envoy Proxy is a high-performance edge and service proxy, originally created at Lyft, and now a CNCF project widely adopted in cloud-native infrastructures. Envoy acts as a universal data plane in service mesh architectures, enabling dynamic routing, observability, and Zero Trust security across microservices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers who wish to deploy, configure, and operate Envoy Proxy for modern microservices and service mesh environments.

By the end of this training, participants will be able to:

• Install and configure Envoy Proxy in standalone and Kubernetes environments.
• Understand Envoy’s architecture, including filters, clusters, and listeners.
• Configure traffic management policies such as retries, circuit breaking, and load balancing.
• Secure communication with TLS/mTLS and enforce Zero Trust principles.
• Extend Envoy functionality with WebAssembly (WASM) filters.
• Integrate Envoy with service meshes such as Istio and Consul.
• Monitor, trace, and troubleshoot microservice traffic using Envoy’s observability features.

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.

In this instructor-led, live training in Almada (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 instructor-led, live training in Almada (online or onsite) is designed for data engineers, data scientists, and programmers who wish to leverage Apache Kafka capabilities for data streaming with Python.

By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams using Python programming.

Kafka Streams is a client-side library designed for developing applications and microservices that exchange data with a Kafka messaging system. Historically, Apache Kafka has depended on Apache Spark or Apache Storm to handle data flow between message producers and consumers. By invoking the Kafka Streams API within an application, data can be processed directly within Kafka, eliminating the need to transfer data to a separate cluster for processing.

In this instructor-led live training, participants will learn how to integrate Kafka Streams into sample Java applications that send and receive data via Apache Kafka for stream processing.

Upon completion of this training, participants will be able to:

• Grasp Kafka Streams features and its advantages compared to other stream processing frameworks
• Process stream data directly within a Kafka cluster
• Develop a Java or Scala application or microservice that integrates with Kafka and Kafka Streams
• Write concise code to transform input Kafka topics into output Kafka topics
• Build, package, and deploy the application

Audience

• Developers

Format of the course

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Notes

• To request a customized training for this course, please contact us to make arrangements.

This instructor-led live training in Almada (online or onsite) is designed for developers who want to use Lumen to build Laravel-based microservices and applications.

By the end of this training, participants will be able to:

• Configure 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 Almada, participants will learn how to build microservices using Go (Golang) and Spring Cloud.

This instructor-led live training, held in Almada, is designed for enterprise developers and architects. It introduces the fundamentals of microservice architecture, outlines strategies for migrating from monolithic systems, and guides participants through the creation and deployment of a sample microservice-based application.

Upon completion of this training, participants will be able to:

• Determine when to adopt or avoid microservice architecture.
• Design and implement a testing strategy for microservices.
• Deploy a sample microservice-based application into a production environment.
• Refactor a monolithic application into distinct services.

This instructor-led, live training in Almada (online or onsite) is designed for 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

In this instructor-led live training held in Almada, participants will learn the basics of building microservices using Spring Cloud and Docker. Participants' knowledge will be tested through exercises and the incremental development of sample microservices.

By the end of this training, participants will be able to:

• Understand the fundamentals of microservices.
• Use Docker to build containers for microservice applications.
• Build and deploy containerized microservices using Spring Cloud and Docker.
• Integrate microservices with discovery services and the Spring Cloud API Gateway.
• Use Docker Compose for end-to-end integration testing.

This instructor-led live training in Almada (online or onsite) is designed for developers aiming to shift traditional architectures to highly concurrent microservice-based systems using Spring Cloud, Kafka, Docker, Kubernetes, and Redis.

By the end of this training, participants will be able to:

• Establish the required development environment for constructing microservices.
• Design and implement a highly concurrent microservices ecosystem leveraging Spring Cloud, Kafka, Redis, Docker, and Kubernetes.
• Converting monolithic and SOA services into a microservice-based architecture.
• Embrace a DevOps methodology for software development, testing, and deployment.
• Maintain high concurrency among microservices in production environments.
• Monitor microservices and execute recovery strategies.
• Perform performance tuning.
• Explore future trends in microservices architecture.

Developing complex enterprise applications presents significant challenges in a rapidly evolving environment.

Modifications to the integration between services or systems necessitate corresponding changes in system design. This course provides guidance on designing maintainable service and system architectures that align with the size and purpose of your organization, along with practical infrastructure strategies.

The course addresses common issues encountered when building distributed application landscapes, ranging from integration challenges, infrastructure concerns, and modern approaches to resolving complexity.

It examines the advantages and disadvantages of various solutions (e.g., traditional SOA versus Microservices architecture) and highlights available tools (primarily open-source) that support development and maintenance.

Course Format

The course is primarily discussion-based, with limited presentations.

In this instructor-led, live training in Almada, participants will learn the features, concepts and standards behind WSO2 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 WSO2 API Manager.