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

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

• Gaining a comprehensive understanding of Confluent Kafka’s components and architecture.
• Deploying and managing Kafka brokers, Zookeeper quorums, and essential services.
• Configuring advanced features such as security protocols, replication mechanisms, and performance tuning.
• Utilizing management tools to effectively monitor and maintain Kafka clusters.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within 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 Greece (online or onsite) is designed 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:

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

Apache Camel offers a powerful framework for enterprise application integration and routing. It covers essential concepts 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 practitioners with the skills to design reliable microservice communication layers and streamline data workflows.

This instructor-led live training in Greece (online or onsite) targets 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 via a consistent, well-defined API across all implementations. A standardized API:

• Facilitates service consumption for application developers.
• Permits modifications to backend service implementations without impacting the public API.
• Enables leverage of analytics, monetization, developer portal, and other integrated features within Edge.

Target Audience

This course is designed for engineers, architects, and developers aiming to integrate 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 designed to operate on Kubernetes, delivering secure, observable, and manageable connectivity between microservices. By utilizing Istio’s Envoy-based sidecar proxies, engineering teams can enforce policies, secure communications via mTLS, achieve deep traffic observability, 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 completion of this training, participants will be able to:

• Install and configure Istio on Kubernetes clusters.
• Comprehend and apply service mesh concepts, including traffic management, security, and observability.
• Deploy microservices applications within an Istio service mesh environment.
• 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 to implement advanced network policies and security measures.

Course Format

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

Course Customization Options

• For customized training requests, please contact us to make arrangements.

This instructor-led, live training in Greece (online or onsite) targets intermediate Java developers who aim to design, develop, deploy, and maintain microservices-based applications using Java frameworks such as Spring Boot and Spring Cloud.

Upon completing this training, participants will be able to:

• Comprehend the core principles and advantages of microservices architecture.
• Develop and deploy microservices utilizing Java and Spring Boot.
• Implement service discovery, configuration management, and API gateways.
• Effectively secure, monitor, and scale microservices.
• Deploy microservices leveraging Docker and Kubernetes.

This course is designed for enterprise architects, developers, system administrators, and anyone seeking to comprehend and leverage a high-throughput distributed messaging system. Should you have specific needs, such as a focus solely on system administration, the course content can be customized to better align with your requirements.

Upon completion of this professional course, participants will have acquired the knowledge and skills necessary to effectively deploy, manage, and scale the Kuma service mesh within Kubernetes environments. They will be able to implement advanced traffic routing, observability, and security features to optimize the performance and reliability of their microservices-based applications.

This instructor-led, live training in Greece (available online or onsite) is designed for developers aiming to utilize Lumen for building Laravel-based microservices and applications.

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

• Establish the necessary development environment to commence microservice development with Lumen.
• Comprehend the benefits of implementing microservices utilizing Lumen and PHP.
• Carry out and implement microservice functions and operations using the Lumen framework.
• Secure and regulate access to microservice architectures by constructing security layers.

During this instructor-led live training in Greece, participants will learn the essentials of developing microservices using Spring Cloud and Docker. Understanding is validated through practical exercises and the incremental development of sample microservices.

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

• Understand the core principles 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.
• Utilize Docker Compose for end-to-end integration testing.

This instructor-led, live training in Greece (online or onsite) is designed for 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 Greece (online or onsite) targets developers who want to shift from traditional architecture to a highly concurrent, microservices-based structure using Spring Cloud, Kafka, Docker, Kubernetes, and Redis.

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

• Set up the required 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 into a microservice-based architecture.
• Adopt a DevOps approach to software development, testing, and release.
• Ensure high concurrency among microservices in production.
• Monitor microservices and implement recovery strategies.
• Perform performance tuning.
• Learn about future trends in microservices architecture.

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

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

• Configuring and initiating Traefik via a Docker provider.
• Establishing secure, encrypted connections through Let's Encrypt.
• Deploying middleware and linking it to a router to modify service requests.
• Monitoring Traefik activities using the dashboard.