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 designed for intermediate-level system administrators and DevOps professionals who want 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.
• Plenty 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 India (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:

• 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 message routing. This course delves into fundamental concepts such as routing, message transformation, error handling strategies, component connectors, Enterprise Integration Patterns, and transaction management. It guides developers through the practical configuration of route definitions, bean wiring, concurrency control, and monitoring techniques. By mastering these skills, practitioners will be equipped to design reliable microservice communication layers and streamline complex data workflows.

This instructor-led live training in India (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.

Built on Java, Apigee Edge allows you to deliver secure access to your services through a consistent and well-defined API, irrespective of the underlying service implementation. A uniform API offers the following advantages:

• Simplifies the process for application developers to consume your services.
• Permits changes to the backend service implementation without impacting the public-facing API.
• Enables you to leverage the analytics, monetization, developer portal, and other features natively integrated into Edge.

Audience

This course is designed for engineers, architects, and developers who aim 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, offering secure, transparent, and manageable connectivity between microservices. By utilizing Istio’s Envoy-based sidecar proxies, development teams can enforce strict policies, secure inter-service communications through mutual TLS (mTLS), gain comprehensive visibility into traffic patterns, and enhance reliability as systems scale.

This instructor-led live training session, available either online or on-site, targets intermediate-level engineers looking to deploy, secure, and manage microservices applications using Istio within Kubernetes environments.

Upon completing this training, participants will be equipped to:

• Install and configure Istio on Kubernetes clusters.
• Comprehend and implement service mesh concepts, encompassing traffic management, security, and observability.
• Deploy microservices applications within an Istio service mesh framework.
• Secure service-to-service communications using mutual TLS (mTLS) and adhere to Zero Trust principles.
• Monitor, trace, and troubleshoot microservices using Prometheus, Grafana, and Jaeger.
• Integrate Istio with Calico to implement advanced network policies and enhance security.

Course Format

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

Course Customization Options

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

This instructor-led, live training in India (online or onsite) is designed for intermediate-level Java developers who aim 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:

• Grasp the core principles and advantages of microservices architecture.
• Construct and deploy microservices using 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 training is designed for enterprise architects, software developers, system administrators, and professionals seeking to grasp and leverage high-throughput distributed messaging systems. While broadly applicable, the curriculum can be customized to address specific requirements, such as focusing exclusively on system administration aspects, to better align with your organizational needs.

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

This instructor-led, live training in India (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 India (online or onsite) is aimed at intermediate-level Java developers who wish to integrate Apache Kafka into their applications for reliable, scalable, and high-throughput messaging.

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

• Understand 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 in Kafka applications.

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level developers who wish to learn the fundamentals of Kafka and integrate it with Spring Boot.

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

• Understand Kafka and its architecture.
• Learn how to install, configure, and set up a basic Kafka environment.
• Integrate Kafka with Spring Boot.

In this instructor-led live training conducted at India, participants will master the essentials of building microservices using Spring Cloud and Docker. Through practical exercises and the step-by-step construction of sample microservices, participants will have their knowledge tested and refined.

By the conclusion 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 India (online or onsite) is aimed at 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.