Quarkus for Java Native and Microservice Development Training Course

Confluent Apache Kafka is a distributed event streaming platform designed for high-throughput, fault-tolerant data pipelines and real-time analytics, suitable for government applications requiring robust data management solutions.

This instructor-led, live training (online or onsite) is aimed at intermediate-level system administrators and DevOps professionals who wish to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters for government use.

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 in a secure environment.
• Configure advanced features including security, replication, and performance tuning to meet government standards.
• Use management tools to monitor and maintain Kafka clusters effectively.

Format of the Course

• Interactive lecture and discussion tailored to public sector workflows.
• Lots of exercises and practice relevant to government operations.
• Hands-on implementation in a live-lab environment simulating government scenarios.

Course Customization Options

• To request a customized training for this course, tailored to specific government needs, please contact us to arrange.

This instructor-led, live training (conducted online or on-site) is designed for government 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 for government use.

Apache Camel provides a comprehensive framework designed for government agencies to facilitate enterprise application integration and data routing. This resource examines essential technical principles, including message transformation, error mitigation strategies, component connectivity, Enterprise Integration Patterns, and transaction management. It offers detailed guidance for developers on configuring route definitions, managing bean dependencies, controlling concurrency, and implementing monitoring protocols. These capabilities support the development of resilient microservice architectures, thereby optimizing data workflows and ensuring operational efficiency for government systems.

This instructor-led, live training in US (online or onsite) is aimed at developers who wish to learn how to build, test, debug, and deploy an API using Google Cloud's Apigee API Platform for government applications. By the end of this training, participants will be able to: - Set up a development environment that includes all necessary resources to start developing an API. - Understand and implement the tools available within Apigee Edge for government use. - Build and deploy an API to Google Cloud. - Monitor and debug API errors effectively. - Leverage Google Cloud's analytics and machine learning solutions to enhance the intelligence of APIs for government projects.

Apigee Edge, which is built on Java, facilitates secure access to your services through a well-defined API that remains consistent across all of your services, regardless of the underlying service implementation. A consistent API:

• Simplifies the process for application developers to integrate and consume your services.
• Allows you to modify the backend service implementation without impacting the public API.
• Enables you to leverage analytics, monetization, developer portal features, and other capabilities built into Edge.

Audience

This course is designed for engineers, architects, and developers who are seeking to utilize Apigee Edge in their projects for government and other public sector initiatives.

This training program is designed to equip participants with the skills necessary to implement end-to-end big data streaming use cases for government. It focuses on real-time data preparation and maintenance using Informatica, Edge, Kafka, and Spark. The curriculum covers software versions 10.2.1 and later, ensuring that attendees are well-versed in the latest tools and techniques essential for efficient data management and processing in a governmental context.

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 for government. 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. - Extensive exercises and practice sessions. - 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 run on Kubernetes, providing secure, observable, and manageable connectivity between microservices. By utilizing Istio’s Envoy-based sidecar proxies, teams can enforce policies, secure communications with mutual TLS (mTLS), achieve deep observability into traffic, and enhance reliability at scale. This instructor-led, live training (available online or onsite) is targeted at intermediate-level engineers who aim to deploy, secure, and manage microservices applications using Istio on Kubernetes for government. By the end of this training, participants will be able to: - Install and configure Istio on Kubernetes clusters. - Understand and apply service mesh concepts, including traffic management, security, and observability. - Deploy microservices applications within an Istio service mesh. - Secure service-to-service communications with 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. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - 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 (online or onsite) is designed for intermediate-level Java developers who wish to design, develop, deploy, and maintain microservices-based applications using Java frameworks such as Spring Boot and Spring Cloud. By the end of this training, participants will be able to: - Understand the principles and benefits of a 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 training is tailored to enhance the skills of government IT professionals in leveraging modern technologies for government projects.

This course is designed for government enterprise architects, developers, system administrators, and other professionals seeking to understand and utilize a high-throughput distributed messaging system. The content can be customized to address specific requirements, such as focusing solely on the system administration aspects, to better align with the unique needs of your agency or department.

This instructor-led, live training (offered online or onsite) is designed for system administrators who wish to set up, deploy, manage, and optimize an enterprise-grade Kafka cluster for government use. By the end of this training, participants will be able to: - Set up and administer a Kafka Cluster. - Evaluate the advantages and disadvantages of deploying Kafka on-premise versus in the cloud. - Deploy and monitor Kafka using various tools in both on-premise and cloud environments.

This instructor-led, live training in [location] (online or onsite) is aimed at intermediate-level developers who wish to develop big data applications with Apache Kafka for government. 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 and 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 relevant to public sector workflows.

Upon completion of this professional course, participants will have acquired the knowledge and skills necessary to effectively implement, manage, and scale Kuma's 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.

In this instructor-led, live training in US, participants will gain a comprehensive understanding of building microservices using Spring Cloud and Docker. The training includes hands-on exercises and the step-by-step development of sample microservices to reinforce participant knowledge.

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

• Understand the core principles and benefits of microservices architecture.
• Utilize Docker to create and manage containers for microservice applications.
• Develop and deploy containerized microservices using Spring Cloud and Docker, ensuring alignment with best practices for government projects.
• Integrate microservices with discovery services and the Spring Cloud API Gateway to enhance system reliability and scalability.
• Employ Docker Compose for comprehensive end-to-end integration testing, ensuring robustness and efficiency in deployment processes for government applications.

This instructor-led, live training (online or onsite) is designed for intermediate-level developers and DevOps engineers who aim to build, deploy, and manage microservices using Spring Cloud and Docker. By the end of this training, participants will be able to: - Develop microservices with Spring Boot and Spring Cloud. - Containerize applications using 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, ensuring alignment with best practices for government workflows and governance.