Craig Walls
ArchConf
Clearwater · December 11 - 14, 2017
Author of 'Spring in Action' and 'Spring AI in Action'
Craig Walls is a Principal Engineer, Java Champion, Alexa Champion, and the author of Spring AI in Action, Spring in Action, and Build Talking Apps. He's a zealous promoter of the Spring Framework, speaking frequently at local user groups and conferences and writing about Spring. When he's not slinging code, Craig is planning his next trip to Disney World or Disneyland and spending as much time as he can with his wife, two daughters, 1 bird and 2 dogs.
Presentations
Cloud Native Spring: Discovery and Configuration
In this sessions we'll see how to use components of Spring Cloud to configure and discover microservices in a cloud native microservice-architected application. Specifically, we'll look at Spring Cloud Netflix and Netflix' Eureka and Ribbon projects for service discovery as well as the Spring Cloud Config project's configuration server to provide a central point of external configuration.
Cloud Native Spring: Tracing and Health
In this session, we'll look at how to monitor the health of individual services in a microservice-architected application as well as trace the path of data and processing as it flows from service to service. Specifically, we'll look at Spring Cloud Netflix and Netflix OSS' Hystrix project to not only apply the circuit breaker pattern for failure and latency protection to microservices and monitor the health of those circuit breakers in a running application. Additionally, we'll look at Spring Cloud Sleuth and Zipkin to trace processing through a microservice-based application.
Cloud Native Spring: Streams and Tasks
In this session, we'll see how to develop microservices that are components of a flow of data, but that do not necessarily involve REST. We'll also see how to develop ephemeral microservices–microservice that are triggered to perform a job, then shutdown when that job is complete. Specifically, we'll look at Spring Cloud Stream for flow-based microservices, Spring Cloud Task for ephemeral microservices, and Spring Cloud Data Flow which orchestrates those stream- and task-based services.
Essential Spring Security
In this session, you'll learn how to take advantage of the latest features of Spring Security and Spring Boot to secure an application, both at the web layer and at the method-level.
Cloud Native Spring: User Interfaces and Security
In this session we'll consider how to put a face on the services in the cloud that comprise an application and how to ensure that communication between the user interfaces and the backend services is secure. Specifically, we'll look at Spring Cloud Netflix and the Zuul project to create an API gateway through which the UI can communicate with the services. And we'll see how to use Spring Security and Spring Security OAuth (along with Spring Boot autoconfiguration) to secure that communication.
Cloud Native Spring: Testing and Documentation
In this session, we'll see how to define contracts for microservice APIs using Spring Cloud Contract that can assist in testing clients of those services. Additionally, we'll look at Spring RestDocs, a project that provides semi-automatic production of API documentation.
Serverless Spring: Spring Function as a Service
Serverless is a big topic these days. More specifically, Function as a Service (FaaS) enables small-scale functions deployed in the cloud to be enabled only as needed. Compared to Platform as a Service (PaaS) services which are “always on” and require explicit scaling, FaaS services wake up when needed and are scaled by the platform automatically.
Imagine a service that only gets invoked one per hour. In PaaS, that service is always running and ready to handle requests, consuming processor resources and ultimately costing more to be ready at a moment's notice. In contrast, FaaS services awaken quickly upon invocation and go away when finished, conserving resources and cost.