Microservices Training in Tashkent

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.

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 Tashkent (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.

This instructor-led, live training in Tashkent (online or on-site) is designed for intermediate to advanced-level developers, DevOps professionals, and architects who aim to design, deploy, and manage resilient applications using microservices, containers, and continuous integration/continuous deployment (CI/CD) pipelines.

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

• Understand and implement microservices architecture.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Set up and optimize CI/CD pipelines for automated deployments.
• Apply best practices for security, monitoring, and observability.

This instructor-led, live training in Tashkent (available online or onsite) is designed for advanced-level platform engineers and DevOps professionals who aim to master application scaling using microservices and Kubernetes.

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

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Utilise Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production environments.
• Apply best practices for security and compliance within a Kubernetes environment.

This instructor-led, live training in Tashkent (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.

This instructor-led, live training in Tashkent (online or onsite) is aimed at experienced developers who wish to build, deploy, and scale applications using microservices built with NodeJS and React.

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

• Develop, deploy, and scale applications using different microservices.
• Build a server-side rendered React application.
• Deploy multi-service apps to the cloud using Docker and Kubernetes.
• Perform application testing on microservices.

This instructor-led, live training in Tashkent (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.

Designed for intermediate-level developers aiming to build big data applications using Apache Kafka, this instructor-led live training in Tashkent (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 Tashkent (available in online or onsite formats) is designed for intermediate to advanced developers aiming to master the development of microservices using Spring Boot, Docker, and Kubernetes.

Upon completing this training, participants will be capable of:

• Grasping the core principles of microservices architecture.
• Developing production-ready microservices using Spring Boot.
• Recognizing the essential role of Docker in containerizing microservices.
• Setting up Kubernetes clusters to deploy and manage microservices.

This instructor-led, live training in Tashkent (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.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level to advanced-level developers and architects who wish to develop Java native applications and microservices using Quarkus with optimized memory usage and startup time.

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

• Develop high-performance, lightweight Java native applications using Quarkus.
• Build and deploy RESTful services and microservices architectures.
• Use GraalVM for native compilation and optimize startup and memory efficiency.
• Package and containerize applications for Kubernetes and OpenShift environments.

Explore RabbitMQ, the open-source message broker that enables reliable, high-throughput distributed systems across the globe. The course covers fundamental AMQP protocol concepts, message routing strategies, cluster configuration, and high-availability setups. Participants will learn to manage queues, configure mirrored workloads, implement load-balanced failover, and secure exchanges, as well as integrate with the REST API and management plugins. This training builds confidence in deploying production-grade messaging infrastructure on Linux.

This instructor-led, live training in Tashkent (online or onsite) is aimed at software architects and web developers who wish to use RabbitMQ as a messaging middle-ware and program in Java using Spring to build applications.

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

• Use Java and Spring with RabbitMQ to build applications.
• Design asynchronous message driven systems using RabbitMQ.
• Create and apply queues, topics, exchanges, and bindings in RabbitMQ

In this instructor-led, live training in Tashkent, participants will learn how to install, configure and administer RabbitMQ, then integrate RabbitMQ messaging into a number of sample .NET applications.

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

• Setup, configure and manage RabbitMQ.
• Understand RabbitQ's role in the design and implementation of a microservices architecture.
• Understand how RabbitMQ compares to other Message Queuing Architectures.
• Set up and use RabbitMQ as a broker for handling asynchronous and synchronous messages for real-world enterprise .Net applications.

This instructor-led, live training in Tashkent (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.

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.

In this instructor-led live training in Tashkent (online or onsite), participants will learn how to decouple a Python application and integrate it with the RabbitMQ messaging system to create distributed cloud applications or microservices.

Upon completing this training, participants will be able to:

• Set up, configure, and manage RabbitMQ.
• Comprehend RabbitMQ's role in the design and implementation of microservice architecture.
• Analyze how RabbitMQ compares to other Message Queuing architectures.
• Configure and utilize RabbitMQ as a broker for handling both asynchronous and synchronous messages in practical Python applications.

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 Tashkent (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.

This course offers a comprehensive, hands-on journey through the design, development, and operation of cloud-native microservices. Rather than focusing on abstract theory, it emphasizes practical implementation, guiding participants from domain modelling and service design all the way to deployment, observability, and resilience in real production environments.

Participants will actively build a genuine microservices architecture, learning how to steer clear of common pitfalls such as distributed monoliths, while applying best practices for scalability, maintainability, and operational excellence.

This instructor-led, live training (online or onsite) is tailored for beginner-level / intermediate-level / advanced-level participants who wish to use Golang to develop microservices.

This instructor-led, live training in Tashkent (online or onsite) is aimed at system administrators and MQ administrators who wish to master advanced configuration, security, clustering, high availability, and troubleshooting of IBM MQ 9.4 in distributed deployments.

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 Tashkent (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.

In this instructor-led, live training in Tashkent, participants will learn how to build microservices using Go (Golang) and Spring Cloud.

This instructor-led, live training in Tashkent (online or onsite) is designed for intermediate-level software developers, system architects, and DevOps professionals who aim to create scalable and maintainable applications using a microservices architecture.

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

• Grasp the fundamental principles of microservices architecture.
• Design and deploy scalable microservice-based systems.
• Apply design patterns and best practices for microservices.
• Implement event-driven approaches such as CQRS and event sourcing.
• Address operational challenges in adopting microservices.

The "Microservice Architecture and Development" course is designed to provide participants with a thorough understanding of microservices. It covers essential architectural principles, development techniques, and deployment strategies needed to create scalable, resilient, and maintainable systems based on microservices.

Additional Information:

• Delivery Format: Interactive lectures, hands-on workshops, coding exercises, and case study discussions.
• Materials: Course slides, code samples, practical labs, and supplementary resources.
• Certification: Certificate of completion awarded upon mastering microservices architecture concepts and successful assessment evaluations.

Learning Outcomes:

• Proficiency in designing, implementing, and deploying microservices architectures
• Understanding best practices for resilience, security, testing, and scalability in microservices
• Hands-on experience with Docker, Kubernetes, and tools for building robust microservice systems

In this instructor-led, live training in Tashkent, 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.

In this instructor-led, live training in Tashkent, participants will learn the features, concepts and standards behind WS02 API Manager. Theory will be coupled with live hands-on practice and implementation throughout the training. By the end of the course participants will have the knowledge and practice to deploy their own APIs using the core features of WS02 API Manager.