Microservices Training in Burlington

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.

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 (online or onsite) is designed for intermediate-level Java developers who wish to integrate Apache Kafka into their applications for reliable, scalable, and high-throughput messaging. This training is particularly relevant for government agencies looking to enhance their data processing capabilities. 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 for government use.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level system administrators who wish to effectively leverage Kafka's message queuing features. By the end of this training, participants will be able to: - Understand Kafka’s message queuing capabilities and architecture. - Configure Kafka topics for various message queuing scenarios. - Produce and consume messages using Kafka. - Monitor and manage Kafka as a message queue, ensuring optimal performance and reliability for government applications.

This instructor-led, live training in Burlington (online or onsite) is designed for intermediate to advanced 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 with Docker and Kubernetes. - Set up and optimize CI/CD pipelines for automated deployments. - Apply best practices for security, monitoring, and observability in alignment with standards and guidelines for government.

This instructor-led, live training (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes for government. By the end of this training, participants will be able to: - Design and implement scalable microservices architectures. - Deploy and manage applications on Kubernetes clusters. - Utilize Helm charts for efficient service deployment. - Monitor and maintain the health of microservices in production. - Apply best practices for security and compliance in a Kubernetes environment.

This instructor-led, live training in [location] (online or onsite) is designed for government system administrators at the beginner to intermediate level who wish to learn how to effectively manage Kafka topics for efficient data streaming and processing. By the end of this training, participants will be able to: - Understand the fundamentals and architecture of Kafka topics. - Create, configure, and manage Kafka topics. - Monitor Kafka topics to ensure health, performance, and availability. - Implement security measures for government Kafka topics.

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 instructor-led, live training in [location] (online or onsite) is designed for intermediate-level developers who wish to learn the fundamentals of Apache Kafka and integrate it with Spring Boot for government applications. 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 to enhance data processing capabilities for government workflows.

This instructor-led, live training (available online or onsite) is designed for experienced developers who aim to build, deploy, and scale applications using microservices constructed with NodeJS and React. By the end of this training, participants will be able to: - Develop, deploy, and scale applications utilizing various microservices. - Construct a server-side rendered React application. - Deploy multi-service applications to the cloud using Docker and Kubernetes. - Conduct thorough testing on microservices for government use.

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.

This instructor-led, live training (online or onsite) is designed for intermediate to advanced-level developers who aim to develop microservices using Spring Boot, Docker, and Kubernetes for government applications. By the end of this training, participants will be able to: - Comprehend the microservices architecture. - Construct production-ready microservices with Spring Boot. - Grasp the role of Docker in microservices deployment. - Configure a Kubernetes cluster to deploy microservices effectively.

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.

This instructor-led, live training in Burlington (online or onsite) is aimed at intermediate to advanced 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. - Utilize GraalVM for native compilation to enhance startup and memory efficiency. - Package and containerize applications for deployment in Kubernetes and OpenShift environments, ensuring alignment with public sector workflows and governance for government use.

This course is designed for IT professionals who aim to implement a solution using RabbitMQ, a highly reliable enterprise messaging system that adheres to the Advanced Message Queuing Protocol (AMQP). The training is tailored to enhance skills and knowledge necessary for government IT specialists to effectively set up and manage robust messaging systems for government applications.

This instructor-led, live training in Burlington (online or onsite) is aimed at software architects and web developers who wish to utilize RabbitMQ as a messaging middleware and program in Java using Spring to develop applications for government. By the end of this training, participants will be able to: - Utilize Java and Spring with RabbitMQ to build robust applications. - Design asynchronous message-driven systems using RabbitMQ. - Create and apply queues, topics, exchanges, and bindings within RabbitMQ.

In this instructor-led, live training in [location], participants will learn how to install, configure, and administer RabbitMQ, and then integrate RabbitMQ messaging into various sample .NET applications. By the end of this training, participants will be able to: - Set up, configure, and manage RabbitMQ. - Understand the role of RabbitMQ in designing and implementing a microservices architecture for government. - Compare RabbitMQ with other Message Queuing Architectures. - Configure and use RabbitMQ as a broker for handling asynchronous and synchronous messages in real-world enterprise .NET applications.

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 in Burlington (online or onsite) is aimed at developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, etc., specifically for government projects. By the end of this training, participants will be able to: - Utilize Kafka Connect to efficiently ingest large volumes of data from a database into Kafka topics. - Integrate log data generated by application servers into Kafka topics. - Ensure that any collected data is readily available for stream processing. - Export data from Kafka topics into secondary systems for storage and analysis, enhancing data management capabilities for government operations.

This instructor-led, live training in Burlington (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 for government use. 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 applications. - Build and deploy an API to Google Cloud for government operations. - Monitor and debug API errors effectively. - Leverage Google Cloud’s analytics and machine learning solutions to enhance the intelligence of APIs for government services.

This instructor-led, live training in Burlington (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 instructor-led, live training in Burlington (online or onsite) is aimed at developers who wish to use Axon to build well-structured enterprise applications that leverage the power of CQRS and Event Sourcing for government. By the end of this training, participants will be able to: - Set up the development environment required to create an Axon Framework application. - Implement the CQRS (Command Query Responsibility Segregation) and Event Sourcing architectural patterns to develop complex applications. - Apply the principles of Domain Driven Design to their application design. - Build applications that focus on addressing business problems rather than infrastructure challenges.

This instructor-led, live training in Burlington (online or onsite) is aimed at developers who wish to learn how to build microservices on Microsoft Azure Service Fabric (ASF) for government.

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

• Utilize ASF as a platform for building and managing microservices in governmental systems.
• Comprehend key microservices programming concepts and models relevant to public sector applications.
• Establish a cluster in Azure tailored for government workflows.
• Deploy microservices on premises or in the cloud, ensuring alignment with governmental IT standards.
• Debug and troubleshoot live microservice applications to maintain high levels of service reliability for government operations.

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.

This instructor-led, live training (online or onsite) is designed for engineers who wish to use Confluent, a distribution of Kafka, to build and manage a real-time data processing platform for government applications.

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

• Install and configure the Confluent Platform.
• Utilize Confluent's management tools and services to simplify Kafka operations.
• Store and process incoming stream data efficiently.
• Optimize and manage Kafka clusters effectively.
• Ensure the security of data streams.

Format of the Course

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

Course Customization Options

• This course is based on the open-source version of Confluent: Confluent Open Source.
• To request a customized training for government, please contact us to arrange.

Apache Kafka is a distributed streaming platform that has become the de facto standard for constructing data pipelines. It addresses a wide array of use cases related to data processing, including its function as a message queue, distributed log, and stream processor. This overview will begin with an exploration of the theoretical foundations of data pipelines in general, followed by a detailed examination of the core concepts underlying Kafka. Additionally, we will delve into key components such as Kafka Streams and Kafka Connect, which are essential for government agencies and other organizations looking to leverage advanced data processing capabilities.

Envoy Proxy is a high-performance edge and service proxy initially developed at Lyft and now a prominent project under the Cloud Native Computing Foundation (CNCF). It serves as a universal data plane in service mesh architectures, facilitating dynamic routing, observability, and Zero Trust security across microservices.

This instructor-led, live training (online or onsite) is designed for intermediate-level engineers who aim to deploy, configure, and operate Envoy Proxy in modern microservices and service mesh environments for government use.

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

• Install and configure Envoy Proxy in both standalone and Kubernetes environments.
• Understand Envoy’s architecture, including filters, clusters, and listeners.
• Configure traffic management policies such as retries, circuit breaking, and load balancing.
• Secure communication using TLS/mTLS and enforce Zero Trust principles.
• Extend Envoy functionality with WebAssembly (WASM) filters.
• Integrate Envoy with service meshes like Istio and Consul.
• Monitor, trace, and troubleshoot microservice traffic using Envoy’s observability features.

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 in [location] (available online or on-site) is designed for government personnel at the beginner, intermediate, or advanced level who wish to utilize Golang for developing microservices. The course aims to equip participants with the necessary skills and knowledge to effectively implement Golang in their microservices projects, ensuring alignment with public sector workflows, governance, and accountability.

In this instructor-led, live training in Burlington (onsite or remote), participants will learn how to set up and integrate various Stream Processing frameworks with existing big data storage systems and related software applications and microservices for government. By the end of this training, participants will be able to: - Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streams. - Understand and select the most appropriate framework for specific tasks. - Process data continuously, concurrently, and on a record-by-record basis. - Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc., ensuring seamless integration within government systems. - Choose and integrate the most suitable stream processing library with enterprise applications and microservices for government.

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 (available 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 benefits and disadvantages of deploying Kafka on-premise versus in the cloud. - Deploy and monitor Kafka using various tools suitable for both on-premise and cloud environments.

This instructor-led, live training in Burlington (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to leverage Apache Kafka features for data streaming with Python.

By the end of this training, participants will be able to utilize Apache Kafka to monitor and manage conditions in continuous data streams using Python programming, ensuring alignment with public sector workflows for government.

This instructor-led, live training in Burlington (online or onsite) is aimed at software testers who wish to implement network security measures into an Apache Kafka application for government use. By the end of this training, participants will be able to: - Deploy Apache Kafka onto a cloud-based server. - Implement SSL encryption to prevent attacks. - Add ACL authentication to track and control user access. - Ensure credible clients have access to Kafka clusters using SSL and SASL authentication.

Kafka Streams is a client-side library designed for building applications and microservices that process data within the Kafka messaging system. Traditionally, Apache Kafka has relied on external systems like Apache Spark or Apache Storm for data processing between producers and consumers. By integrating the Kafka Streams API directly into an application, data can be processed efficiently within Kafka, eliminating the need to send it to a separate cluster. In this instructor-led, live training, participants will learn how to integrate Kafka Streams into Java applications that handle data streaming to and from Apache Kafka. By the end of this training, participants will be able to: - Understand the features and advantages of Kafka Streams over other stream processing frameworks. - Process stream data directly within a Kafka cluster. - Develop a Java or Scala application or microservice that integrates with Kafka and Kafka Streams. - Write concise code to transform input Kafka topics into output Kafka topics. - Build, package, and deploy the application. **Audience** - Developers **Format of the Course** - Part lecture, part discussion, exercises, and extensive hands-on practice **Notes** - To request a customized training for government or other organizations, please contact us to arrange.

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.

This instructor-led, live training in [location] (online or onsite) is aimed at developers who wish to use Lumen to build Laravel-based microservices and applications for government. By the end of this training, participants will be able to: - Set up the necessary development environment to start developing microservices with Lumen. - Understand the benefits of implementing microservices using Lumen and PHP in a public sector context. - Perform and implement microservices functions and operations using the Lumen framework. - Protect and control access to microservices architectures by building robust security layers.

In this instructor-led, live training in Burlington, participants will learn how to evaluate different technologies and approaches for the design of a services-based system architecture. The training begins with a discussion and comparison of monolithic systems and service architectures, followed by an in-depth exploration of microservice architecture.

Participants are given the opportunity to apply their knowledge as they create and deploy a set of proof-of-concept microservices using Spring Cloud, Spring Boot, and Docker. Additionally, the relevant infrastructure components are examined to assist participants in determining the most appropriate tools and methods for various organizational needs.
By the end of this training, participants will have a comprehensive understanding of Service-Oriented Architecture (SOA) and Microservice Architecture, as well as practical experience with Spring Cloud and related Spring technologies for rapidly developing cloud-scale, cloud-ready microservices for government use.

In this instructor-led, live training session, participants for government will learn how to develop microservices using Go (Golang) and Spring Cloud. The training is designed to align with public sector workflows, governance, and accountability standards.

This instructor-led, live training in Burlington is aimed at enterprise developers and architects for government. It introduces microservice architecture, presents migration strategies from a monolithic system, and guides participants through the creation and deployment of a sample microservice-based application. By the end of this training, participants will be able to: - Understand when to use and when not to use microservice architecture in public sector projects. - Develop and implement a testing strategy for microservices that aligns with government standards. - Deploy a sample microservice-based application into a production environment for government use. - Refactor a monolithic application into services, ensuring compliance with government IT governance.

This instructor-led, live training in Burlington (online or onsite) is aimed at intermediate-level software developers, system architects, and DevOps professionals for government who wish to build scalable and maintainable applications using a microservices architecture.

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

• Understand the core principles of microservices architecture.
• Design and implement scalable microservice-based systems for government.
• Apply design patterns and best practices for microservices in public sector workflows.
• Implement event-driven approaches such as CQRS and event sourcing for enhanced system responsiveness and data integrity.
• Address challenges in system operations and microservices adoption within the context of government governance and accountability.

The "Microservice Architecture and Development" course is designed to provide participants with a thorough understanding of microservices. It covers essential architectural principles, development practices, and deployment strategies necessary for designing and implementing scalable, resilient, and maintainable microservice-based systems, specifically tailored for government applications. 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:** A certificate of completion is awarded upon successful mastery of microservices architecture concepts and passing assessment evaluations. Learning Outcomes: - Proficiency in designing, implementing, and deploying microservices architectures for government use. - Understanding best practices for resilience, security, testing, and scalability in microservices. - Hands-on experience with Docker, Kubernetes, and other tools essential for building robust microservice systems.

Microservice architecture is a method for developing software applications as a collection of small, self-contained services. Each service operates independently in its own process and communicates through lightweight mechanisms, such as an HTTP resource API. These services can be efficiently deployed using continuous automation systems and eliminate the need for centralized management. Microservices can be developed using various programming languages and can integrate with different data storage systems.

This instructor-led, live training is designed for government developers and architects. It provides a comprehensive introduction to microservice architecture from a .NET perspective, covers strategies for migrating from monolithic systems, and guides participants through the creation and deployment of a sample microservice-based application for government use.

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

• Determine when to employ and when to avoid microservice architecture
• Develop and execute a testing strategy for microservices
• Deploy a sample microservice-based application into a production environment
• Refactor a monolithic application into modular services

Audience

• Government Developers
• Architects

Format of the Course

• Part lecture, part discussion, exercises, and extensive hands-on practice

In this instructor-led, live training in Burlington, participants will gain a comprehensive understanding of building microservices using Spring Cloud and Docker. The training emphasizes practical application through exercises and the step-by-step development of sample microservices tailored for government use cases.

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

• Comprehend the foundational principles of microservices architecture.
• Leverage Docker to create containers for microservice applications, ensuring alignment with public sector workflows.
• Develop and deploy containerized microservices using Spring Cloud and Docker, optimizing for government operations.
• Integrate microservices with discovery services and the Spring Cloud API Gateway, enhancing governance and accountability.
• Utilize Docker Compose for comprehensive end-to-end integration testing, ensuring robust and secure solutions for government.

This instructor-led, live training in Burlington (online or onsite) is aimed at data scientists who wish to utilize the SMACK stack to develop robust data processing platforms for government. By the end of this training, participants will be able to: - Implement a data pipeline architecture suitable for processing large-scale data. - Develop a cluster infrastructure using Apache Mesos and Docker. - Analyze data effectively with Spark and Scala. - Manage unstructured data efficiently with Apache Cassandra.

In this instructor-led, live training in Burlington, we begin with an in-depth discussion of microservice architecture. Participants will apply their knowledge through practical exercises and the step-by-step development of sample microservices, tailored to meet the needs of public sector workflows and governance.

By the end of this training, participants will have a comprehensive understanding of how to leverage Spring Cloud and related Spring technologies to rapidly develop cloud-scale, cloud-ready microservices for government applications.

This instructor-led, live training (conducted either online or on-site) is designed for government developers who wish to transform traditional architecture into a highly concurrent microservices-based architecture using Spring Cloud, Kafka, Docker, Kubernetes, and Redis. By the end of this training, participants will be able to: - Set up the necessary development environment for building microservices for government. - Design and implement a highly concurrent microservices ecosystem using Spring Cloud, Kafka, Redis, Docker, and Kubernetes. - Transform monolithic and SOA services into microservice-based architecture. - Adopt a DevOps approach to developing, testing, and releasing software for government applications. - Ensure high concurrency among microservices in production environments. - Monitor microservices and implement recovery strategies for optimal performance. - Conduct performance tuning to meet the stringent demands of public sector workflows. - Gain insights into future trends in microservices architecture relevant to government operations.

Spring Cloud is an open-source framework designed to facilitate the development of lightweight microservices applications in Java for cloud environments. Netflix OSS comprises a suite of frameworks and libraries that support the creation of microservices. Spring Cloud seamlessly integrates with Netflix components through auto-configuration and convention over configuration, enhancing developer productivity. This instructor-led, live training provides participants with an in-depth understanding of building microservices using Spring Cloud and Netflix OSS. The course includes practical exercises and step-by-step development of sample microservices to reinforce learning. By the end of this training, participants will have a comprehensive grasp of how to leverage Spring Cloud and associated Spring technologies alongside Netflix OSS to swiftly develop cloud-scale, cloud-ready microservices for government applications. **Audience** - Java Developers **Format of the Course** - Part lecture, part discussion, with exercises and extensive hands-on practice

Building complex enterprise applications is highly challenging in an ever-changing environment.

Changes in the integration between services or systems will necessitate adjustments in the design of the system. This course covers how to design maintainable, scalable architectures that are tailored to the size and purpose of your organization’s operations and practical infrastructure for government.

This course addresses common challenges in developing a landscape of distributed applications, starting from integration issues, infrastructure considerations, and modern approaches to managing complexity.

The course provides an in-depth analysis of the advantages and disadvantages of various architectural solutions (e.g., traditional SOA vs. Microservice architecture) and highlights available tools (primarily open-source) that support development and maintenance efforts.

Course Format

The course is primarily discussion-based, with limited presentations to facilitate interactive learning and problem-solving.

This instructor-led, live training in [location] (online or onsite) is aimed at system administrators and developers who wish to deploy, manage, monitor, and operate microservices using Traefik for government. By the end of this training, participants will be able to: - Configure and launch Traefik through a Docker provider. - Enable secure and encrypted connections using Let's Encrypt. - Deploy and connect middleware to a router to transform service requests. - Monitor Traefik operations using the dashboard.

In this instructor-led, live training for government participants in Burlington, attendees will gain a comprehensive understanding of the features, concepts, and standards behind WS02 API Manager. The course combines theoretical instruction with practical, hands-on exercises to ensure participants can effectively deploy their own APIs using the core functionalities of WS02 API Manager. By the end of the training, participants will have acquired both the knowledge and practical skills necessary to implement API management solutions in alignment with public sector workflows and governance standards.