Spring Cloud 1.0 is here! It offers a powerful way to create and consume microservices. As you introduce new services, you introduce integration problems: services can be shaky, they can disappear and - as they're often exposed over HTTP - they require a bit more footwork than in-process method invocations. In this webinar, we'll focus specifically on how Spring Cloud integrates service registration (e.g. Eureka), declarative REST clients (with Netflix's Feign), reactive programming and the circuit breaker pattern with Hystrix to support easy, robust service-to-service invocations, and messaging microservices with Spring Cloud Stream. This is a deep dive on how to make connect and consume microservices, and is a natural next step after the introduction to building microservices with Spring Boot.
Saturday, December 26, 2015
Getting Started with Spring Cloud
Java, J2EE, Struts, Hibernate, Web Services, JSF
declarative REST clients,
Eureka,
microservices,
Netflix Feign,
Spring Boot,
Spring Cloud
Lattice: A Cloud-Native Platform for Your Spring Applications
Lattice is a cloud-native application platform that enables you to run your applications in containers like Docker, on your local machine via Vagrant. Lattice includes features like:
Cluster scheduling
HTTP load balancing
Log aggregation
Health management
Lattice does this by packaging a subset of the components found in the Cloud Foundry elastic runtime. The result is an open, single-tenant environment suitable for rapid application development, similar to Kubernetes and Mesos Applications developed using Lattice should migrate unchanged to full Cloud Foundry deployments.
Lattice can be used by Spring developers to spin up powerful micro-cloud environments on their desktops, and can be useful for developing and testing cloud-native application architectures. Lattice already has deep integration with Spring Cloud and Spring XD, and you’ll have the opportunity to see deep dives into both at this year’s SpringOne 2GX. This session will introduce the basics:
Installing Lattice
Lattice’s Architecture
How Lattice Differs from Cloud Foundry
How to Package and Run Your Spring Apps on Lattice
Cluster scheduling
HTTP load balancing
Log aggregation
Health management
Lattice does this by packaging a subset of the components found in the Cloud Foundry elastic runtime. The result is an open, single-tenant environment suitable for rapid application development, similar to Kubernetes and Mesos Applications developed using Lattice should migrate unchanged to full Cloud Foundry deployments.
Lattice can be used by Spring developers to spin up powerful micro-cloud environments on their desktops, and can be useful for developing and testing cloud-native application architectures. Lattice already has deep integration with Spring Cloud and Spring XD, and you’ll have the opportunity to see deep dives into both at this year’s SpringOne 2GX. This session will introduce the basics:
Installing Lattice
Lattice’s Architecture
How Lattice Differs from Cloud Foundry
How to Package and Run Your Spring Apps on Lattice
Java, J2EE, Struts, Hibernate, Web Services, JSF
Lattice,
Lattice: A Cloud-Native Platform for Your Spring Applications,
Spring Applications
Developer Experience with Spring Cloud
Java, J2EE, Struts, Hibernate, Web Services, JSF
experience on spring cloud,
is spring cloud is better or not,
Spring Cloud,
spring cloud experiences
12 Factor, or Cloud Native Apps for Spring Developers
The third platform, characterized by a fluid infrastructure where virtualized servers come into and out of existence, and workloads are constantly being moved about and scaled up and down to meet variable demand, calls for new design patterns, processes and even culture. One of the most well known descriptions of these new paradigms is the Twelve Factor App (12factor.net), which describes elements of cloud native applications. Many of these needs are squarely met through the Spring Framework, others require support from other systems. In this session we will examine each of the twelve factors and present how Spring, and platforms such as Cloud Foundry satisfy them, and in some cases we’ll even suggest that responsibility should shift from Spring to platforms. At the conclusion you will understand what is needed for cloud-native applications, why and how to deliver on those requirements.
Java, J2EE, Struts, Hibernate, Web Services, JSF
12 Factor or Cloud Native Apps for Spring Developers,
12Factor,
Cloud Native Apps
Spring Boot for DevOps
So you've decided to go cloud native. You've got a number of microservices that your company builds and runs. They interact with each other in various ways. You've got testing and staging and production environments that may have taken a lot of effort to get right. How does an individual developer work on just one of those services without stomping on other developers using a shared environment? In this session we will explore a range of options for development, starting with deploying everything locally, through stubbing, to local development solution that allows a developer to run their service in their IDE and have the whole system interact on their local machine!
Java, J2EE, Struts, Hibernate, Web Services, JSF
DevOps,
Spring Boot,
Spring Boot for DevOps
Spring Boot Micro-services, Containers, and Kubernetes
This session is to learn how to create a Java-based microservice using Spring Boot, containerize it using Maven plugins, and subsequently deploy a fleet of microservices and dependent components such as Redis using Kubernetes. Spring Boot makes creating microservices fast and easy - when it comes to running a single instance. Like most Java application, the harder part is usually the clustering and fail-over configurations. First, we'll go over how get started with Spring Boot, and, subsequently, using Maven plugins to generate and create Docker images during the build process. Next, we'll go over some basic architecture and configurations, such as: - Configuring Spring Session - Using Redis as the session store - Testing the configuration locally with container linking - Tips and tricks for faster startup (/dev/./urandom is your friend) Finally, with the images, we'll deploy the microservice into Kubernetes: - Defining pods and services - Linking microservices to Redis using Kubernetes - Perform rolling upgrades of the application - Canary new versions of the microservices into the fleet Best part - we can visualize all of these activities happening in Kubernetes.
Java, J2EE, Struts, Hibernate, Web Services, JSF
and Kubernetes,
Building 'Bootiful' Applications with Spring Boot,
Containers,
Spring Boot Micro-services
Saturday, November 7, 2015
Securing Microservices with Spring Cloud Security
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.
Java, J2EE, Struts, Hibernate, Web Services, JSF
Micro Services,
Securing Microservices with Spring Cloud Security,
Spring Cloud,
Spring Cloud Security
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” into Cloud Foundry. Finally, we will look at the benefits of adopting cloud native security protocols, such as OAuth2 and SAML2. The journey will cover 5 common application security architecture patterns taken from real world customer problems. We will compare how the security integration patterns differ between a standalone application and a cloud native application. From legacy enterprise identity management integration to security for microservices, this technical session includes practical, hands-on guidance to properly implementing authentication, authorization, and confidentiality controls using Spring and Cloud Foundry. We have all heard of the idea of the “Full Stack” developer — someone who can understand the application up and down the whole stack. The goal of this session is to describe the full security stack and show how it differs between standalone deployments and a PAAS deployment.
Java, J2EE, Struts, Hibernate, Web Services, JSF
Spring Cloud,
Spring Framework,
Spring PAAS Cloud,
Spring Security
Spring Cloud *: Exploring Alternative Spring Cloud Implementations
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.
Java, J2EE, Struts, Hibernate, Web Services, JSF
Spring Cloud,
Spring Cloud implementations,
Spring frame work
Flo for Spring XD: Composed Batch Job Orchestration
Flo for Batch pipeline builds upon the newly supported Batch DSL in Spring XD that can be used to create composite batch workflows involving sequential, parallel or even the combination of both jobs.
Source : https://www.youtube.com/watch?v=kr_79McGjHY
Source : https://www.youtube.com/watch?v=kr_79McGjHY
Java, J2EE, Struts, Hibernate, Web Services, JSF
Flo for Spring XD: Composed Batch Job Orchestration,
Spring Framework,
Spring XD
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