Recorded at SpringOne2GX 2015
Speaker: Will Tran
Slides: http://www.slideshare.net/SpringCentral/securing-microservices-with-spring-cloud-security-53170178
This talk will walk through the authentication and authorization scenarios that you may encounter once you start building out microservices. We'll go over OAuth2, OpenID Connect, and how to leverage those standards with Spring Cloud Security, so you can build out secure services that can be easily consumed by both Spring and non-Spring clients.
Recorded at SpringOne2GX 2015
Speaker: John Field, Shawn McKinney
Slides: http://www.slideshare.net/SpringCentral/a-how-to-guide-to-security-in-the-paas-cloud
Most developers still deal with application security issues in isolation, without understanding the security of the ""full stack"". As a result, security is sometimes inconsistent, and can be seen as a barrier to moving applications to the cloud. The session will examine the security of a typical Java Web application in an enterprise deployment. We will then look at what needs to change when that secure Java application is “forklifted…
Recorded at SpringOne2GX 2015
Speaker: Spencer Gibb
Slides: http://www.slideshare.net/SpringCentral/spring-cloud-alternative-implementations-of-discovery-config-bus
In this session we will discuss the Spring Cloud abstractions and interfaces that an implementation might choose to implement: DiscoveryClient, LoadBalancerClient, Configuration and Bus. We will compare and contrast some target technologies and discus the tradeoffs and nuances of each, such as: netflix, consul, etcd, zookeeper and lattice. We will then show and demonstrate Spring Cloud implementations of those technologies.
Cloud Native Track
Spring Cloud Netflix allows you to quickly take your existing Spring Boot application and transform it into a fully cloud-ready service (even if you are operating out of a private data center).
This talk will be largely live coded, taking a simple Spring Boot app and progressively augmenting it with more and more production-ready features.
1. Service discovery -- how we have extended Spring Cloud to integrate more seamlessly with Eureka.
2. Real-time Metrics -- Spectator/Atlas integration, including how we fold Spring Boot Actuator metrics into Spectator. We will show you how to use the Atlas stack language to generate real-time metrics graphics.
3. Inter-service Communication/Loading Balancing - When should you choose client-side load balancing (Ribbon) over traditional server-side load balancing? We will explain how Netflix OSS can contain both a client side load balancer in Ribbon and a software router in Zuul and when to use each.
4. Managing Failure - Provide a demo of Hystrix/Spring integration with Turbine.
5. Analytics - How Spring Cloud Netflix makes Spring XD an even more powerful real-time analytics platform with real-time operational insights.
In this talk, Grails project lead Graeme Rocher, will update you on the latest release of Grails and what is coming up during the course of the next year.
Covering all the new features of Grails 3 including the new plugin model, Gradle build and profiles support, this talk promise to be packed full of information for those interested in the latest and greatest from the Grails community.
For some web applications it does not make sense to have 1 monolithing process which handles all of the requirements of the application. More and more often Grails is showing up in microservice architectures where instead of building 1 monolithing web application which is responsible for all of the pieces of the application puzzle, microservice applications are being assembled which collectively solve the requirements of the larger application. Grails is very well suited for this type of architecture. A microservice based architecture can result in applications which are easier to build…
Grails 3 includes a lot of features and functionality related to building RESTful services. These include an entirely new and more flexibile data binding system, runtime and compile time metaprogramming which greatly reduce the amount of code required in your RESTful services, a rich set of content negotiation tools and more.
10 years in the making and finally JSR-107 has been finalized. We now have a standardized Caching API for the Java Platform. And that's all ready for you to use in your Spring apps. But what does it really enable for you? What's with these optional features? No transaction support? How do you efficiently make use of this new API to solve real world problems in your application today? We'll look into how get you best started introducing caching into your Spring application to solve real world problems. And, as we explore the javax.cache API in much more details, we'll see how to push the specifications to its limits and... beyond. Whether implicitly through frameworks (like Spring and Hibernate), or explicitly (cache-aside, cache-through, ...). And how to abstract yourself from a given provider when you require more than what the specifications cover (e.g. transactional caches). We'll also cover some implementer specifics you might want to account for when choosing an implementation, especially if you plan to push the spec to the extreme, like when going distributed and caching terabytes of data.
