Recorded at SpringOne2GX 2014.
Speaker: Dan Woods, NetFlix
More Groovy Track
Slides: http://www.slideshare.net/SpringCentral/4pieter-springone2gx2014groovysysadmins
Enterprise Operations is seeing a shift in the management paradigm of infrastructure, from the more-traditional server-centric design, to an approach that leverages the application stack as the custodian for administration.
Fastest Servlets in the West?
Recorded at SpringOne2GX 2014.
Speakers: Stuart Willliams, Daniel Mikusa
Slides: http://www.slideshare.net/SpringCentral/williams-fastest-servlets-in-the-west
Applied Spring Track
The venerable Servlet Container still has some performance tricks up its sleeve - this talk will demonstrate Apache Tomcat’s stability under high load, describe some do’s (and some don’ts!), explain how to performance test a Servlet-based application, troubleshoot and tune the container and your application and compare the performance characteristics of the different Tomcat connectors. The presenters will share their combined experience supporting real Tomcat applications for over 20 years and show how a few small changes can make a big, big difference.
Recorded at SpringOne2GX 2014.
Speaker: Craig Walls
Slides: http://www.slideshare.net/SpringCentral/booting-up-spring-social
Applied Spring Track
In recent years, people are using social networks like Facebook and Twitter to connect, meet, and share experiences and ideas. But it's not just people making connections; modern applications are also leveraging the APIs provided by the social networks to connect with their users and customers. It's hard to find applications these days that aren't somehow connected to their users via social APIs. Spring Social is an extension to the Spring Framework that enables you to create applications that connect with APIs. With it, your application can offer social login, learn about its users' interests, and inject itself into their social graph. In this session, we'll take a look at the latest that Spring Social has to offer, including integration with Spring Security, automatic reconnect, and a dramatically simpler configuration model using Spring Boot.
Recorded at SpringOne2GX 2014.
Speaker: Roman Shaposhnik
Big Data Track
Slides: http://www.slideshare.net/SpringCentral/hadoop-201-deeper-into-the-elephant
This session expands on the previous year's "Hadoop: Just the Basics for Big Data Rookies", diving deeper into the details of key Apache Hadoop projects. We will start with a brief recap of HDFS and MapReduce, then discuss more advanced features of HDFS, in addition to how YARN has enabled businesses to massively scale their systems beyond what was previously possible. We will then discuss Apache HBase, the non-relational database modeled after Google's BIg table, review the data model, architecture, and common use cases. By the end of this session, you will learn how these three core Hadoop projects are used to solve even the most challenging Big Data problems.
Welcome to another installment of This Week in Spring! This week’s roundup could’ve just as easily been titled, This Week in Spring Videos and Webinars, because we’ve got a lot of them!
SimpleJdbcInsert to handle JDBC data insertionSpeaker: Sabby Anandan
Worried about Big Data and the challenges inherent in making a real application? You don’t have to worry anymore! Spring XD provides a one-stop shop solution that spans traditional enterprise to Big Data use cases - both batch and streaming. It's important to choose the right tool for each use-case, which is why Spring XD integrates with technologies such as Spark, Reactor and RxJava to demonstrate the flexibility and the unified programming model to support complex data computation use-cases. In this webinar, we'll show you how to develop data-driven use cases much faster than other big data solutions on the out of the box XD runtime.
Speaker: Josh Long, Pivotal
Back in the era of the application server, HTTP Session replication was a common way to scale out user session data, as well as make it fault tolerant. In today's world of lightweight containers, PaaS, and virtualization, Spring Session offers a 100% server and/or container portable HTTP Session. See how Spring Session easily plugs in implementations like Redis, scales out across a cluster, handles multiple users' browser sessions, works with WebSocket, and allows header based authentication within REST apps. It's a perfect fit for working with user data, particularly in a highly distributed environment like the cloud, or on a Platform like Cloud Foundry.
Speaker: Andy Wilkinson, Pivotal
An API's documentation is a vital part of making it easy to understand and easy to use. RESTful APIs are no different. In this webinar we'll look at what should be included in your RESTful API's documentation and, just as importantly, what should be omitted. To illustrate this we'll look at some real-world examples of good and bad API documentation. We'll look at some of the problems and limitations of choosing a tool like Swagger to produce your API's documentation and conclude by looking at some alternatives that are better-suited to producing documentation that your users will love.
In this article we continue our discussion of how to use Spring Security with Angular JS in a “single page application”. Here we start by breaking out the “greeting” resource that we are using as the dynamic content in our application into a separate server, first as an unprotected resource, and then protected by an opaque token. This is the third in a series of articles, and you can catch up on the basic building blocks of the application or build it from scratch by reading the first article, or you can just go straight to the source code in Github, which is in two parts: one where the resource is unprotected, and one where it is protected by a token.
The microservice style of architecture is not so much about building individual services so much as it is making the interactions between services reliable and failure-tolerant. While the focus on these interactions is new, the need for that focus is not. We’ve long known that services don’t operate in a vacuum. Even before cloud economics, we knew that - in a practical world - clients should be designed to be immune to service outages. The cloud makes it easy to think of capacity as ephemeral, fluid. The burden is on the client to manage this intrinsic complexity.
