Building Microservices with NodeJS and React Training Course

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 seeking to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

By the conclusion 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 such as security, replication, and performance tuning.
• Utilize management tools to monitor and maintain Kafka clusters.

Format of the Course also allows for the evaluation of participants.

• 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 France (online or on-site) is designed for developers, integration architects, and system administrators seeking to master advanced integration patterns and techniques using Apache Camel.

Upon completing this training, participants will be able to:

• Comprehend advanced integration patterns and techniques.
• Execute complex routing and transformations.
• Enhance performance and scalability.
• Manage errors and exceptions within intricate integration scenarios.
• Integrate Apache Camel with diverse technologies and platforms.

Apache Camel provides a powerful framework for enterprise application integration and message routing. This course covers fundamental topics such as routing, message transformation, error handling strategies, component connectors, Enterprise Integration Patterns, and transaction management. It guides developers through practical aspects of configuring route definitions, bean wiring, concurrency management, and monitoring. Participants will gain the skills needed to design reliable microservice communication layers and streamline data workflows.

This instructor-led live training in France (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, developed on Java, allows you to deliver secure access to your services via a consistent, well-defined API across all implementations. A uniform API provides the following benefits:

• Facilitates service consumption for application developers.
• Allows backend implementation changes without impacting the public API.
• Enables leverage of Edge's built-in analytics, monetization, developer portal, and other capabilities.

Audience

This course is designed for engineers, architects, and developers looking to implement Apigee Edge in 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 also allows for the evaluation of participants.

• 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 designed for Kubernetes, enabling secure, observable, and manageable communication between microservices. By utilizing Istio's Envoy-based sidecar proxies, teams can enforce policies, secure communications via mTLS, gain deep traffic visibility, and enhance reliability at scale.

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

Upon completing 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.

Course Format

• Interactive lectures and discussions.
• 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 France (offered online or on-site) is designed for intermediate Java developers who want 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.

Designed for enterprise architects, developers, and system administrators, this course equips learners with the knowledge to understand and leverage high-throughput distributed messaging systems. While it caters to a broad audience, the content can be customized to address specific needs, such as a focus solely on system administration.

This instructor-led, live training in France (online or onsite) is aimed at beginner-level, intermediate-level, or 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.

In this instructor-led live training in France, participants will learn the essentials of building microservices using Spring Cloud and Docker. Their understanding will be tested 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 France (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, held in France (online or onsite), is tailored for intermediate to advanced web developers and technical architects who aim to explore the latest advancements in Next.js 14 and gain the knowledge required to develop cutting-edge web applications.

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

• Harness the full power of Next.js 14 to construct complex applications.
• Apply modern features including Middleware, React Server Components, and Edge Functions.
• Implement best practices to enhance performance, scalability, and SEO.
• Effectively diagnose and resolve common challenges in Next.js applications.

Advanced Development with Next.js 16 addresses advanced application architecture, App Router patterns, React Server Components, Server Actions, caching, security, and large-scale deployment.

This instructor-led, live training targets full-stack developers and React engineers who are building production-grade Next.js applications.

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

• Develop complex Next.js 16 applications leveraging the App Router, RSC, and Server Actions
• Implement caching mechanisms, authentication protocols, and performance optimization strategies
• Deploy and monitor production applications at scale

Available in France.

This instructor-led live training in France (online or onsite) is aimed at advanced-level developers who wish to master the latest features in Next.js 14, optimize performance, and implement modern React techniques.

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

• Implement advanced React hooks and concurrent features.
• Understand and utilize Next.js routing strategies effectively.
• Leverage Server Components, Server Actions, and hybrid rendering approaches.
• Optimize data fetching, caching, and incremental static regeneration.
• Use Next.js as a backend solution with Edge Functions and Edge Runtime.
• Manage state using React Context, Redux, and atomic state libraries.
• Optimize application performance for Web Core Vitals.
• Test, monitor, and deploy Next.js applications efficiently.