Microservice Patterns: Migrating from a Monolithic to a Microservice Architecture Training Course

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 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 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 instructor-led, live training in US (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.

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.

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.

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 US, participants will gain a comprehensive understanding of evaluating various technologies and approaches for designing service-based system architectures. The training begins with an overview and comparison of monolithic systems and service architectures, followed by an in-depth exploration of microservice architecture.

Participants will have the opportunity to apply their knowledge through hands-on exercises, including the creation and deployment of proof-of-concept microservices using Spring Cloud, Spring Boot, and Docker. Additionally, the training will examine key infrastructure components to assist participants in selecting the most appropriate tools and methodologies for their specific organizational needs.

By the end of this training, participants will have a solid foundation in Service-Oriented Architecture (SOA) and Microservice Architecture, as well as practical experience with Spring Cloud and related Spring technologies for developing cloud-scale, cloud-ready microservices for government 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.

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

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.