Microservices Training in Manaus

Confluent Apache Kafka is an enterprise-grade distributed event streaming platform built on Apache Kafka. It supports high-throughput, fault-tolerant data pipelines and real-time streaming applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and administrators who wish to deploy, configure, and optimize Confluent Kafka clusters in production environments.

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

• Install, configure, and operate Confluent Kafka clusters with multiple brokers.
• Design high-availability setups using Zookeeper and replication techniques.
• Tune performance, monitor metrics, and apply recovery strategies.
• Secure, scale, and integrate Kafka with enterprise 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.

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

This instructor-led live training (available online or on-site) is designed for intermediate-level system administrators and DevOps professionals who want to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

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

• Understand the components and architecture of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and key services.
• Configure advanced features including security, replication, and performance tuning.
• Use 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 a customized training for this course, please contact us to arrange.

This instructor-led, live training in Manaus (online or onsite) is designed for intermediate-level Java developers who wish to integrate Apache Kafka into their applications to achieve reliable, scalable, and high-throughput messaging.

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

• Grasp the architecture and fundamental 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 within Kafka applications.

This instructor-led live training in Manaus (online or on-site) targets intermediate-level system administrators seeking to effectively utilize Kafka's message queuing capabilities.

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

• Comprehend 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 Manaus (online or onsite) is aimed at intermediate to advanced 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 Manaus (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 guided, live training in Manaus (online or in person) targets beginner to intermediate system administrators aiming to learn how to effectively manage Kafka topics for optimal data streaming and processing.

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

• Grasp the fundamentals and architecture of Kafka topics.
• Create, configure, and manage Kafka topics.
• Monitor Kafka topics to ensure health, performance, and availability.
• Implement robust security measures for Kafka topics.

This instructor-led, live training in Manaus (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 Manaus (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 Manaus (online or onsite) is designed for experienced developers who wish to build, deploy, and scale applications using microservices powered by 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 Manaus (available online or onsite) is designed for developers, integration architects, and system administrators who aim to master advanced integration patterns and techniques using Apache Camel.

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

• Grasp advanced integration patterns and techniques.
• Implement complex routing and transformations.
• Optimize performance and scalability.
• Manage errors and exceptions in complex integration scenarios.
• Integrate Apache Camel with various technologies and platforms.

This instructor-led, live training in Manaus (online or onsite) targets intermediate-level developers who want to develop big data applications with Apache Kafka.

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

• Develop Kafka producers and consumers to send and read data from Kafka.
• Integrate Kafka with external systems using Kafka Connect.
• Write streaming applications with Kafka Streams and ksqlDB.
• Integrate a Kafka client application with Confluent Cloud for cloud-based Kafka deployments.
• Gain practical experience through hands-on exercises and real-world use cases.

This instructor-led, live training in Manaus (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 Manaus (online or onsite) targets 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 Manaus (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.

Explore RabbitMQ, the open-source message broker that empowers reliable, high-throughput distributed systems across the globe. This course covers fundamental AMQP protocol concepts, message routing techniques, cluster deployment, and high-availability setups. It walks participants through queue administration, mirrored workload configuration, load-balanced failover implementation, and exchange security, along with integration via the REST API and management plugins. Participants will gain the confidence needed to deploy production-grade messaging infrastructure on Linux.

This instructor-led live training in Manaus (online or onsite) is tailored for software architects and web developers who wish to use RabbitMQ as 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 at Manaus, participants will learn how to install, configure, and administer RabbitMQ, then integrate RabbitMQ messaging into several sample .NET applications.

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

• Set up, configure, and manage RabbitMQ.
• Comprehend RabbitMQ's role in designing and implementing a microservices architecture.
• Compare RabbitMQ against other Message Queueing Architectures.
• Configure and utilize RabbitMQ as a broker for handling both asynchronous and synchronous messages in real-world enterprise .NET applications.

This instructor-led live training in Manaus (available online or onsite) is designed for developers and software engineers who wish to use RabbitMQ to enable communication between microservices through messaging, while performing advanced implementation and troubleshooting.

Upon completing this training, participants will be equipped to:

• Establish the necessary environment to begin developing advanced messaging solutions with RabbitMQ.
• Gain insight into designing distributed microservices architectures using RabbitMQ.
• Implement advanced configurations, security measures, networking setups, high availability, and replication strategies.
• Identify and resolve common issues encountered during RabbitMQ installations.
• Understand memory optimization, flow control, and advanced performance tuning techniques.
• Apply sophisticated troubleshooting methods.

Istio is an open-source service mesh designed to operate on Kubernetes, enabling secure, observable, and manageable connections between microservices. By utilizing Istio's Envoy-based sidecar proxies, development teams can enforce policies, secure communications through mTLS, gain deep insights into traffic patterns, and enhance reliability at scale.

This instructor-led live training, available online or on-site, targets intermediate-level engineers looking to deploy, secure, and manage microservices applications using Istio within a Kubernetes environment.

Upon completion of this training, participants will be capable of:

• Installing and configuring Istio on Kubernetes clusters.
• Understanding and applying service mesh concepts, including traffic management, security, and observability.
• Deploying microservices applications within an Istio service mesh.
• Securing service-to-service communications using mutual TLS (mTLS) and Zero Trust principles.
• Monitoring, tracing, and troubleshooting microservices using Prometheus, Grafana, and Jaeger.
• Integrating Istio with Calico for advanced network policies and security.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live lab environment.

Customization Options for the Course

• For requests regarding customized training for this course, please contact us to make arrangements.

In this instructor-led live training in Manaus (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.

By the end 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.
• 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.

Apache Camel provides a powerful framework for enterprise application integration and routing. It covers essential topics such as routing, message transformation, error handling strategies, component connectors, Enterprise Integration Patterns, and transaction management. The course guides developers through practical route configuration, bean wiring, concurrency control, and monitoring techniques. It equips professionals with the skills to design reliable microservice communication layers and streamline data workflows.

This instructor-led, live training in Manaus (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.

Built on Java, Apigee Edge empowers you to offer secure access to your services through a consistent, well-defined API, irrespective of the underlying service implementation. This consistency provides several key advantages:

• Simplifies the consumption of your services for application developers.
• Allows you to modify backend implementations without impacting the public API.
• Enables you to leverage Apigee Edge's integrated features, such as analytics, monetization, and the developer portal.

Target Audience

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

This course offers a comprehensive, hands-on experience in designing, constructing, and managing cloud-native microservices. It emphasizes practical application over theoretical concepts, guiding participants through the entire lifecycle—from domain modeling and service design to deployment, observability, and ensuring resilience in production environments.

Participants will engage in building a functional microservices architecture, learning to avoid common pitfalls like distributed monoliths while adopting best practices for scalability, maintainability, and operational excellence.

This live, instructor-led training in Manaus (online or onsite) is designed for system administrators and MQ administrators who wish to master advanced configuration, security, clustering, high availability, and troubleshooting of IBM MQ 9.4 in distributed deployments.

This course is designed for enterprise architects, developers, system administrators, and anyone seeking to understand and leverage a high-throughput distributed messaging system. If you have more specific requirements (e.g., focusing solely on system administration), this course can be customized to better suit your needs.

This instructor-led, live training in Manaus (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level system administrators and operations engineers who wish to use Apache Kafka to deploy, secure, monitor, and troubleshoot Kafka clusters.

By the end of this training, participants will be able to explain Kafka architecture and KRaft mode, operate and secure Kafka clusters, monitor performance and reliability, and resolve common production issues.

This instructor-led, live training in Manaus (online or onsite) is directed at developers who aim to use Lumen for building Laravel-based microservices and applications.

By the conclusion of this training, participants will be capable of:

• Setting up the required development environment to initiate microservice development with Lumen.
• Understanding the benefits of utilizing Lumen and PHP for microservices implementation.
• Performing and implementing microservice functions and operations via the Lumen framework.
• Protecting and controlling access to microservice architectures by creating security layers.

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

This instructor-led, live training in Manaus (online or onsite) targets intermediate-level software developers, system architects, and DevOps specialists aiming to create scalable and maintainable applications using a microservices architecture.

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

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

In this instructor-led live training held at Manaus, participants will learn the essentials of building microservices using Spring Cloud and Docker. Knowledge is reinforced through exercises and the step-by-step 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 Manaus (online or onsite) targets developers aiming to shift from traditional architectures to a highly concurrent microservices-based model 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.

This instructor-led, live training in Manaus (online or onsite) is designed for system administrators and developers aiming to deploy, manage, monitor, and operate microservices using Traefik.

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

• Configure and launch Traefik using a Docker provider.
• Secure connections with encryption via Let's Encrypt.
• Deploy and attach middleware to a router to transform service requests.
• Monitor Traefik operations using its dashboard.

In this instructor-led live training in Manaus, participants will learn the features, concepts, and standards behind WS02 API Manager. Theory is integrated with live hands-on practice and implementation throughout the training. By the end of the course, participants will have the knowledge and practical experience to deploy their own APIs using the core features of WS02 API Manager.