Building Microservices with Go 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 either online or onsite, targets intermediate-level system administrators and DevOps professionals who wish 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.
• 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.

This instructor-led, live training in the UAE (online or onsite) is tailored for developers, integration architects, and system administrators who wish to master advanced integration patterns and techniques using Apache Camel.

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

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

Apache Camel provides a powerful framework designed for enterprise application integration and message routing. The course covers essential topics such as routing logic, message transformation, error handling approaches, component connectors, Enterprise Integration Patterns (EIPs), and transaction management. It guides developers in practically configuring route definitions, wiring beans, controlling concurrency, and implementing monitoring techniques. By the end of the course, participants will be equipped to design reliable microservice communication layers and streamline data workflows effectively.

This instructor-led live training in the UAE (online or onsite) is targeted at developers seeking to learn how to build, test, debug, and deploy APIs on Google Cloud's Apigee API Platform.

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

• Set up a development environment containing all necessary 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 allows you to deliver secure access to your services through a uniform API that remains consistent across all your offerings, irrespective of the underlying service implementation. A unified API:

• Simplifies the consumption of your services for application developers.
• Permits you to modify backend service implementations without impacting the public API.
• Allows you to leverage analytics, monetization, developer portals, and other features integrated into Edge.

Target Audience

This course is designed for engineers, architects, and developers looking to integrate Apigee Edge into their projects.

Master the implementation of comprehensive big data streaming scenarios. Gain expertise in real-time data preparation and upkeep utilizing Informatica, Edge, Kafka, and Spark. This program encompasses software versions 10.2.1 and newer.

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 designed to operate on Kubernetes, delivering secure, observable, and manageable connectivity between microservices. By utilizing Istio’s Envoy-based sidecar proxies, teams can enforce policies, secure communications via mTLS, gain deep observability into traffic patterns, 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 capable of:

• Installing and configuring Istio within Kubernetes clusters.
• Grasping 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 to implement advanced network policies and security.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• 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 the UAE (online or onsite) targets 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 course is designed for enterprise architects, software developers, system administrators, and professionals seeking to master high-throughput distributed messaging systems. While the curriculum covers a broad range of topics, it can be customized to focus on specific areas, such as system administration, to better align with your particular requirements.

This instructor-led live training in the UAE (online or onsite) targets developers who intend to use Lumen for building Laravel-based microservices and applications.

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

• Configure the necessary development environment to commence microservice development with Lumen.
• Appreciate the benefits of adopting microservices through Lumen and PHP.
• Carry out and implement microservices functions and operations using the Lumen framework.
• Secure and regulate access to microservice architectures by implementing security layers.

In this instructor-led live training in the UAE, participants will explore the foundational aspects of building microservices using Spring Cloud and Docker. Participants' understanding 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 the UAE (available online or onsite) is targeted at intermediate-level developers and DevOps engineers who seek to build, deploy, and manage microservices using Spring Cloud and Docker.

By the conclusion 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 the UAE (available online or onsite) is tailored for developers seeking to transition from 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:

• Configure the essential development environment for constructing microservices.
• Design and deploy a robust, highly concurrent microservices ecosystem utilizing Spring Cloud, Kafka, Redis, Docker, and Kubernetes.
• Refactor legacy monolithic and SOA services into a microservice-based architecture.
• Implement DevOps practices across the software development, testing, and release lifecycle.
• Maintain high concurrency levels for microservices in production environments.
• Monitor microservices performance and establish effective recovery strategies.
• Execute performance tuning to optimize system efficiency.
• Gain insights into emerging trends in microservices architecture.

This instructor-led, live training in the UAE (online or in-person) is designed for system administrators and developers who wish to deploy, manage, monitor, and operate microservices using Traefik.

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

• Configure and launch Traefik via a Docker provider.
• Establish secure, encrypted connections using Let's Encrypt.
• Deploy and connect middleware to routers to transform service requests.
• Monitor Traefik's performance using the dashboard.