Getting Started with Consul Training Course

This instructor-led, live training in the US (online or onsite) is aimed at engineers who wish to use Envoy Proxy to enable microservices to "talk to each other".

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

• Install and configure Envoy Proxy.
• Use Envoy Proxy to abstract the network and visualize problem areas with ease.
• Resolve microservice issues related to networking and observability.

This instructor-led, live training in the US (online or onsite) is aimed at engineers who wish to connect, secure, and manage cloud-based applications (e.g., microservices) using an Istio-based service mesh.

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

• Install and configure Istio on Kubernetes.
• Understand service meshes and to implement one with Istio.
• Deploy an Istio service mesh on top of Kubernetes.
• Use a service mesh to run, manage and monitor microservices in the cloud.

This instructor-led, live training in the US (online or onsite) is aimed at developers who wish to use Lumen to build Laravel-based microservices and applications.

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.
• Perform and implement the microservices functions and operations using the Lumen framework.
• Protect and control access to the microservices architectures by building security layers.

This instructor-led, live training in the US (online or onsite) is aimed at system administrators and developers who wish to deploy, manage, monitor, and operate microservices using Traefik.

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.

This instructor-led, live training in the US (online or onsite) is aimed at software engineers who wish to use Apache Log4j for logging data and messages.

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

• Use Apache Log4j for logging application messages and data.
• Automate the configuration of appenders, pattern converters, layouts, and more.
• Implement advanced filtering to all events before being passed to appenders.

This instructor-led, live training in the US (online or onsite) is aimed at software developers and system administrators who wish to use Apache Dubbo to develop microservices with high-throughput.

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

• Develop an Apache Dubo application.
• Support multiple service load balance strategies to reduce latency.
• Apply service governance and maintenance with Apache Dubbo.

This instructor-led, live training in the 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.

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

• Set up the development environment needed to create an Axon Framework application.
• Implement the CQRS (Command Query Responsibility Segregation) and Event Sourcing architectural patterns to develop complex applications.
• Apply the concepts of Domain Driven Design to their application design.
• Build applications that focus on the business problem instead of the infrastructure.

In this instructor-led, live training in the US, 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, then digs into the details of microservice architecture.

Participants are given a chance to put their knowledge into practice as they step through the creation and deployment of a set of proof-of-concept microservices built with Spring Cloud, Spring Boot and Docker.
Finally, the relevant infrastructure building blocks are examined to help participants determine the most suitable tools and approaches to use for different organizational requirements.
By the end of this training, participants will have a solid understanding of Service-Oriented Architecture (SOA) and Microservice Architecture as well practical experience using Spring Cloud and related Spring technologies for rapidly developing their own cloud-scale, cloud-ready microservices.

In this instructor-led, live training in the US, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Participant knowledge is put to the test through exercises and the step-by-step development of sample microservices.

By the end 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.

In this instructor-led, live training in the US, we start with a discussion of microservice architecture. Participant knowledge is put to the test through exercises and the step-by-step development of sample microservices.

By the end of this training, participants will have a solid understanding of how to use Spring Cloud and related Spring technologies to rapidly develop their own cloud-scale, cloud-ready microservices.

This instructor-led, live training in the US (online or onsite) is aimed at 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.
• Design and implement a highly concurrent microservices ecosystem using Spring Cloud, Kafka, Redis, Docker and Kubernetes.
• Transform monolithic and SOA services to microservice based architecture.
• Adopt a DevOps approach to developing, testing and releasing software.
• Ensure high concurrency among microservices in production.
• Monitor microservices and implement recovery strategies.
• Carry out performance tuning.
• Learn about future trends in microservices architecture.

Spring Cloud is an open-source lightweight microservices framework for building Java applications for the cloud. Netflix OSS is a set of frameworks and libraries for developing microservices. Spring Cloud integrates nicely with Netflix components using auto configuration and convention over configuration.

In this instructor-led, live training, participants will learn the fundamental concepts of building microservices using Spring Cloud and Netflix OSS. Participant knowledge is put to the test through exercises and the step-by-step development of sample microservices.

By the end of this training participants will have a solid understanding of how to use Spring Cloud and related Spring technologies together with Netflix OSS to rapidly develop their own cloud-scale, cloud-ready microservices.

Audience

• Java Developers

Format of the course

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

This instructor-led, live training in the 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.

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.

This instructor-led, live training in the 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.

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.