Building Microservices with Go Training Course

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 onsite) targets intermediate-level system administrators and DevOps professionals looking to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

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

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

Course Format

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

Customization Options

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

This instructor-led, live training in Italy (online or onsite) is designed for developers and software engineers who want to leverage RabbitMQ to enable communication between microservices via messaging, while mastering advanced implementation and troubleshooting techniques.

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

• Configure the required environment to begin developing advanced messaging solutions with RabbitMQ.
• Grasp the principles of designing a distributed microservices architecture using RabbitMQ.
• Implement advanced configuration settings, security protocols, networking, high availability, and replication strategies.
• Identify common issues associated with RabbitMQ installations and apply effective resolution methods.
• Gain insights into memory optimization, flow control, and advanced performance tuning.
• Apply sophisticated troubleshooting techniques.

This instructor-led, live training in Italy (online or onsite) is designed for developers, integration architects, and system administrators aiming to master advanced integration patterns and techniques using Apache Camel.

Upon completing this training, participants will be capable of:

• Understanding advanced integration patterns and techniques.
• Implementing complex routing and transformations.
• Optimizing performance and scalability.
• Managing errors and exceptions in complex integration scenarios.
• Integrating Apache Camel with various technologies and platforms.

Apache Camel provides a powerful framework designed for enterprise application integration and routing. This course covers fundamental concepts such as routing, message transformation, error handling strategies, component connectors, Enterprise Integration Patterns, and transaction management. It guides developers through the practical configuration of route definitions, bean wiring, concurrency control, and monitoring techniques, enabling practitioners to build reliable microservice communication layers and streamline data workflows.

This instructor-led live training in Italy (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, built on Java, allows you to offer secure access to your services through a consistent API that remains uniform across all services, irrespective of their implementation. A consistent API:

• Simplifies the process for application developers to consume your services.
• Allows you to modify backend service implementations without impacting the public API.
• Enables you to leverage analytics, monetization, developer portal, and other features integrated into Edge.

Audience

This course is tailored for engineers, architects, and developers who aim to incorporate Apigee Edge into their projects.

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.

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

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

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

• Installing and configuring Istio on Kubernetes clusters.
• Understanding and implementing 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.
• Numerous exercises and practical activities.
• Hands-on implementation in a live lab environment.

Customization Options

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

This instructor-led, live training in Italy (online or onsite) is designed for intermediate-level Java developers seeking to design, develop, deploy, and maintain microservices-based applications using Java frameworks like Spring Boot and Spring Cloud.

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

• Comprehend 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.

Designed for enterprise architects, developers, and system administrators, this course enables participants to master the implementation and management of high-throughput distributed messaging systems. The curriculum can be customized to address specific professional needs, such as focusing exclusively on system administration tasks.

This instructor-led, live training in Italy (online or on-site) is aimed at beginner-level, intermediate-level, and 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 Italy (online or onsite) is aimed at intermediate-level developers who wish 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 & 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 Italy (online or onsite) targets intermediate-level Java developers who wish to integrate Apache Kafka into their applications for reliable, scalable, and high-throughput messaging.

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

• Comprehend 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 within Kafka applications.

During this instructor-led, live training held in Italy, participants will acquire the essential skills for building microservices using Spring Cloud and Docker. Knowledge is reinforced through exercises and the incremental development of sample microservices.

By the conclusion 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 Italy (online or onsite) targets intermediate-level developers and DevOps engineers who wish to construct, 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.