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) is tailored for intermediate-level system administrators and DevOps professionals seeking to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

Upon completing this training, 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.
• Utilise management tools to monitor and maintain Kafka clusters.

Course Format

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

Course Customisation Options

• To arrange a customised training for this course, please contact us.

This instructor-led, live training in Botswana (online or onsite) is designed for developers and software engineers who wish to use RabbitMQ to facilitate communication between microservices via messaging, as well as to carry out advanced implementation and troubleshooting.

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

• Set up the required environment to begin developing advanced messaging solutions using RabbitMQ.
• Understand how to design a distributed microservices architecture with RabbitMQ.
• Learn how to implement advanced configuration, security, networking, high availability, and replication.
• Identify common issues encountered in RabbitMQ installations and know how to resolve them.
• Gain knowledge of memory optimization, flow control, and advanced performance tuning.
• Apply various advanced troubleshooting techniques.

This instructor-led live training in Botswana (online or on-site) is intended for developers, integration architects, and system administrators who wish to master advanced integration patterns and techniques using Apache Camel.

By the conclusion 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 complex integration scenarios.
• Integrate Apache Camel with various technologies and platforms.

Apache Camel provides a powerful framework for enterprise application integration and routing. This course explores fundamental concepts such as routing, message transformation, error handling strategies, component connectors, Enterprise Integration Patterns (EIPs), and transaction management. It guides developers through the practical configuration of route definitions, bean wiring, concurrency control, and monitoring techniques. By the end, participants will be equipped to design reliable microservice communication layers and streamline data workflows.

This instructor-led live training in Botswana (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, constructed on Java, allows you to grant secure access to your services via a well-defined API that remains consistent across all your services, irrespective of the underlying implementation. A consistent API:

• Facilitates the consumption of your services by application developers.
• Allows you to modify the backend service implementation without impacting the public API.
• Enables you to leverage analytics, monetisation, developer portal, and other features integrated into Edge.

Target Audience

This course is aimed at engineers, architects, and developers who wish to utilise 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

• 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 visibility into traffic patterns, and enhance reliability at scale.

This instructor-led live training, available both online and onsite, is tailored for intermediate-level engineers who wish 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.
• Grasp and apply service mesh concepts such as 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 lecture and discussion.
• Numerous exercises and practical activities.
• Hands-on implementation within 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 Botswana (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 course is designed for enterprise architects, developers, system administrators, and anyone keen on understanding and utilising a high-throughput distributed messaging system. If you have specific requirements (e.g. only system administration side), this course can be tailored to better suit your needs.

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

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 Botswana (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 Botswana (online or onsite) is tailored for 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:

• Grasp 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.

In this instructor-led, live training in Botswana, participants will learn the core principles of building microservices using Spring Cloud and Docker. Participant knowledge is assessed through exercises and the step-by-step development of sample microservices.

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

• Comprehend the fundamentals of microservices.
• Utilise Docker to build containers for microservice applications.
• Construct and deploy containerised microservices using Spring Cloud and Docker.
• Integrate microservices with discovery services and the Spring Cloud API Gateway.
• Employ Docker Compose for end-to-end integration testing.

This instructor-led, live training in Botswana (online or on-site) 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.