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 on-site) targets intermediate-level system administrators and DevOps professionals who want to learn how to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

By the end of 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.
• Utilize management tools to monitor and maintain Kafka clusters.

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 it.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at developers and software engineers who wish to use RabbitMQ to communicate between microservices through messaging and perform advanced implementation and troubleshooting.

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

• Set up the necessary environment to start developing advanced messaging solutions with RabbitMQ.
• Understand how to design a distributed microservices architecture with RabbitMQ.
• Learn how to implement advanced configuration, security, networking, high availability, and replication.
• Know the common issues encountered in RabbitMQ installations and how to resolve them.
• Learn about memory optimization, flow control, and advanced performance tuning.
• Apply some advanced troubleshooting techniques.

This instructor-led, live training in Uzbekistan (available online or on-site) is designed for developers, integration architects, and system administrators who aim 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 for enterprise application integration and routing. It covers fundamental concepts such as routing, message transformation, error handling strategies, component connectors, Enterprise Integration Patterns, and transaction management. The course guides developers through the practical configuration of route definitions, bean wiring, concurrency control, and monitoring techniques. It prepares professionals to design reliable microservice communication layers, effectively streamlining data workflows.

This instructor-led live training in Uzbekistan (online or onsite) is designed for developers who want 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, which is built on Java, enables you to provide secure access to your services with a well-defined API that is consistent across all of your services, regardless of service implementation. A consistent API:

• Makes it easy for app developers to consume your services.
• Enables you to change the backend service implementation without affecting the public API.
• Enables you to take advantage of the analytics, monetization, developer portal, and other features built into Edge.

Audience

This course is directed at engineers, architects and developers seeking to utilize 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 serves as an open-source service mesh designed for Kubernetes environments, facilitating secure, visible, and manageable connections between microservices. Utilizing Istio's Envoy-based sidecar proxies, engineering teams can implement policy enforcement, secure inter-service communications via mTLS, achieve comprehensive traffic visibility, and enhance reliability at scale.

This instructor-led live training, available both online and 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 core service mesh concepts such as traffic management, security, and observability.
• Deploying microservices applications inside an Istio service mesh.
• Securing service-to-service communications through mutual TLS (mTLS) and Zero Trust principles.
• Monitoring, tracing, and troubleshooting microservices using Prometheus, Grafana, and Jaeger.
• Integrating Istio with Calico to enable advanced network policies and security.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Uzbekistan (online or onsite) is tailored for intermediate-level Java developers aiming 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, system administrators, and professionals seeking to master high-throughput distributed messaging systems, this course provides comprehensive insights into Apache Kafka. If you have specific focus areas, such as exclusively system administration, the curriculum can be customized to align with your unique requirements.

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

Designed for intermediate-level developers aiming to build big data applications using Apache Kafka, this instructor-led live training in Uzbekistan (online or onsite) offers comprehensive guidance.

Upon completion of this course, participants will have the ability to:

• Create Kafka producers and consumers to send and retrieve data.
• Connect Kafka with external systems via Kafka Connect.
• Build streaming applications utilizing Kafka Streams & ksqlDB.
• Link a Kafka client application to Confluent Cloud for cloud-based Kafka deployments.
• Acquire practical skills through hands-on exercises and real-world use cases.

This instructor-led, live training in Uzbekistan (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 Kafka's architecture and its core components.
• Provision and configure a Kafka cluster.
• Produce and consume messages using Java.
• Deploy Kafka Streams for real-time data processing.
• Guarantee fault tolerance and scalability within Kafka applications.

In this instructor-led, live training in Uzbekistan, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Their knowledge will be tested through hands-on exercises and the step-by-step 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.
• Use Docker Compose for end-to-end integration testing.

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