This track provides overview and deep dive sessions that cover the products, features, and technologies for datacenter modernization and consolidation. Example topics include: storage migration, performance optimization, management of data in distributed applications, and middleware integration. Attendees will learn how to enable lines of business to rapidly respond to business events in an automated manner, automate rules-driven business processes, and integrate applications, data, and embedded devices across all cloud environments.
What do back office applications, apps deployed in the cloud, apps deployed in remote branches or embedded devices, and data spread across multiple sources all have in common? Sooner or later, they all have to talk to each other. That’s where integration middleware comes in.
In this session, we’ll look into the roadmaps for the Red Hat JBoss Middleware integration solutions, including Red Hat JBoss Fuse, Red Hat JBoss A-MQ, Red Hat JBoss Fuse Service Works, and Red Hat JBoss Data Virtualization.
|Application and data integration||Tuesday, April 15||1:20 pm - 2:20 pm||2.0 / 5.0|
You’re hearing a lot about big data these days. And big data and the technologies that store and process it, like Hadoop, aren’t just new data silos. You might be looking to integrate big data with existing enterprise information systems to gain better understanding of your business. You want to take informed action.
During this session, we’ll demonstrate how Red Hat JBoss Data Virtualization can integrate with Hadoop through Hive and provide users easy access to data. You’ll learn how Red Hat JBoss Data Virtualization:
We’ll also provide typical uses cases and examples and a demonstration of the integration of Hadoop sentiment analysis with sales data.
|Application and data integration||Thursday, April 17||11:00 am - 12:00 pm||3.0 / 5.0|
This track features the developers who write the code, the solution architects who work in the field, and the product managers who contribute to product direction. Example topics include: deployment techniques, performance optimization, and system management, and sessions will include technology overviews, roadmaps, and deep dives. Attendees will learn how to increase performance and scalability, implement security policies, meet service level agreements, and more effectively manage deployments.
Datacenter modernization is a priority for everyone working with virtualization, cloud, hybrid, and fabric architectures and technologies. Yet, traditional approaches to traditional data management are like anchoring your modern speedboat with cement. Enter open software-defined storage, a new approach to storage that brings applications closer to data while adding agility and intelligence.
In this new world of big data and open cloud environments like OpenStack, open, software-defined storage enables you to deploy storage how you need to, when you need to, and where you need to: in the cloud, in virtual or physical environments.
In this session, you’ll learn how customers are changing their relationships with traditional storage vendors and capitalizing on today’s economics with Red Hat Storage Server. You’ll leave this session with a better understanding of software-defined storage and if you’re ready to capitalize on it.
|Application and platform infrastructure||Tuesday, April 15||10:40 am - 11:40 am||2.0 / 5.0|
Red Hat Storage Server is an open, software-defined storage product for private, public, and hybrid cloud environments, based on the open source GlusterFS project, a distributed scale-out file system technology.
In this session, you’ll:
|Application and platform infrastructure||Tuesday, April 15||2:30 pm - 3:30 pm||3.0 / 5.0|
This track covers application development tools and technologies. Example topics include: best practices, methodologies, and techniques for building applications in C, C++, Java, PHP/LAMP, Ruby, Node.js, and many other commonly used developer tools and languages, and new development approaches such as Platform-as-a-Service. Attendees will also learn how the tools that build, run, and scale applications are evolving.
Red Hat has mature middleware stacks in the enterprise engineering, service-oriented architecture (SOA), business process management (BPM), and data spaces. Some of these are standards related, while some standards don’t yet exist.
What does the future hold for these stacks as mobile, cloud, and the Internet of things continue to gather momentum? What will happen as new languages are added to the JVM (almost) daily, and the lines between technologies continue to blur?
In this interactive session, our panel of experts will discuss their personal visions for the future of Red Hat JBoss Middleware. We would also like to hear from you, so come prepared to talk about your concerns, requirements, and interests for the future.
Topics: Big data, Development tools, Flexibility, Interoperability, Mobile, Performance, Portability, Red Hat JBoss A-MQ, Red Hat JBoss Data Grid, Red Hat JBoss Data Virtualization, Red Hat JBoss Enterprise Application Platform, Red Hat JBoss Fuse, Red Hat JBoss Fuse Service Works, Reliability, Scalability
|Application development||Tuesday, April 15||10:40 am - 11:40 am||3.0 / 5.0|
This track targets the juncture of business and IT considerations necessary to create competitive advantage. Example topics include: new architecture deployments, competitive differentiators, long-term and hidden costs, and security. Attendees will learn how to align architecture and technology decisions with their specific business needs and how and when IT departments can provide competitive advantage.
A growing number of business events and and the data associated with them are generated by modern IT applications and devices on new architectures. Open hybrid cloud architectures, big data, business processes, and mobile applications are high-growth platforms at the center of this shift. These applications must be integrated, flexible, and adaptable to constantly changing business conditions.
Red Hat offers a better way to business leadership by helping businesses build an enlightened enterprise. Using the Red Hat JBoss Middleware portfolio of application, integration, and business process management platforms, IT can build solutions that anticipate and respond to business events in real time.
In this session, you’ll learn about:
While we’ll focus on business issues and value, we’ll also address technical aspects of cloud, on-premise, mobile, and big data scenarios.
|Business and IT strategy alignment||Tuesday, April 15||10:40 am - 11:40 am||2.0 / 5.0|
This track covers the changing concepts and implications of moving workloads to the cloud. Example topics include: data migration, consumption models, operational approaches, and management frameworks. Attendees will gain insight into cloud readiness for their IT infrastructures and businesses, and learn how to maintain control, security, and compliance when moving to hybrid cloud operational models.
IBM is leading the industry in disk-dense, big data servers. Red Hat is leading the industry with emerging software-defined solutions. Red Hat Storage Server on the IBM System x3650 M4 BD platform delivers a solution designed for big data, high performance, a small footprint, and horizontal scalability.
In this session, we’ll discuss how Red Hat Storage Server powers this x86 system configurable with up to 56 terabytes of low-cost storage, transforming it from a box of disk drives into an affordable, powerful, scalable, and open, software-defined storage environment. We’ll also detail a case study from a customer running virtualized servers and virtualized storage on IBM x86 servers, all powered by Red Hat software.
|Cloud readiness||Wednesday, April 16||10:40 am - 11:40 am||3.0 / 5.0|
This track showcases community leaders and their innovative upstream work, as well as the certified commercial solutions that the Red Hat partner ecosystem brings to market. Attendees will also gain a better understanding of the value of a Red Hat subscription and learn how to extract the maximum value from their investments.
Struggling to cost-effectively manage growing amounts of data while extracting more value from them? Join us to learn how running Red Hat Storage Server on HP ProLiant SL4540 Gen8 servers offers massive scalability, high performance, and volume economics for storage of all kinds of unstructured data. In particular, you’ll learn about the 2-node ProLiant SL4540 Gen8 Server series, which offers scalable and cost-effective solutions for creating a large file and object store, deploying an enterprise drop box or cloud storage for service providers, and establishing a nearline archive.
|Community and partner ecosystem||Wednesday, April 16||10:40 am - 11:40 am||3.0 / 5.0|
This track features sessions covering the trends and strategies driving the future of enterprise computing. Example topics include: big data, mobile, software-defined storage, and intelligent systems. Attendees will be among the first to know about what's coming from Red Hat and how to better plan for shifts in the IT landscape.
If analyzing data were easy, wouldn’t everybody do it? The fact is, several steps are necessary to effectively use Hadoop out of the box to process data for the information you need. From preprocessing relevant data to preparing it for consumption to copying large data sets to another location for analysis—the time it takes to get value from your data might be so long that the data is no longer relevant.
So why bring your data to the analytics engine when you can bring the analytics engine to your data? In this session, you’ll learn how Red Hat customers use Red Hat Storage Server to more quickly start mining their data by allowing the application that generates the data they need to write directly to where the analytics will run. And in the process of doing so, they can skip making an extra copy of the data.
|Emerging technologies||Tuesday, April 15||2:30 pm - 3:30 pm||2.0 / 5.0|
For the first time, IBM is making its IBM Watson technology available as a development platform in the cloud. Watson Developers Cloud will enable a worldwide community of software application providers to build a new generation of apps infused with Watson’s cognitive computing intelligence. This will spur innovation and fuel a new ecosystem of entrepreneurial software application providers–ranging from start-up companies to established enterprises.
Together with IBM, these business partners share a vision for creating a new class of cognitive applications that transform how businesses and consumers make decisions. In this session, you’ll learn more about this game-changing initiative and you’ll see a live demonstration of the Watson API in action.
|Emerging technologies||Tuesday, April 15||3:40 pm - 4:40 pm||3.0 / 5.0|
Hyperscale computing seeks to replace a whole conventional server system with a single-chip solution that includes on-chip network fabric connectivity. This emerging design will provide hundreds of gigabits of connectivity between individual nodes, and make million-node deployments commonplace.
Red Hat has been researching hyperscale computing, including both conventional x86 designs and emerging 64-bit ARM-powered systems, for several years. In this session, you’ll get an update on the state of hyperscale computing, including a live demo using Red Hat technologies.
|Emerging technologies||Wednesday, April 16||10:40 am - 11:40 am||4.0 / 5.0|
In this session, we’ll provide an update on the current state of the GlusterFS community and discuss future directions of the project. Attendees will learn:
|Emerging technologies||Wednesday, April 16||1:20 pm - 2:20 pm||4.0 / 5.0|
Hyperscale computing promises to revolutionize the way the cloud is physically realized over the coming years. It combines enhancements at the software and hardware levels, like on-chip management and fabric infrastructure, and brings established industry titans together with upstart newcomers.
In this panel, thought leaders from the emerging hyperscale industry will share their thoughts and answer questions as they seek to address the challenges, opportunities, and emerging trends in hyperscale computing.
Topics: Big data, Fedora, Interoperability, Manageability, Open hybrid cloud, OpenStack, Portability, Projects, RDO, Red Hat Cloud, Red Hat Enterprise Linux, Red Hat Enterprise Linux OpenStack Platform
|Emerging technologies||Wednesday, April 16||3:40 pm - 4:40 pm||2.0 / 5.0|
Big data solutions are quickly becoming critical assets in modern enterprises that require a modern Linux operating platform and a robust, high-performance Java environment.
In this session, you’ll learn the best practices of deploying Hadoop 2 on Red Hat Enterprise Linux 6 with OpenJDK 7. Using Hortonworks Hadoop Data Platform (HDP) 2 as a basis, we’ll:
|Emerging technologies||Wednesday, April 16||4:50 pm - 5:50 pm||3.0 / 5.0|
With new NoSQL stores arriving to the market frequently, choosing the right datastore can be a tough challenge. Each store provides its own low-level APIs, and migrating from one store to another is anything but simple.
Hibernate Object/Grid Mapper (OGM) provides easy access to NoSQL stores via the well-known Java Persistence API (JPA). Java developers who know how to use JPA also know how to access their favorite NoSQL stores.
In this session, you’ll learn:
This session is code-focused, with at least half the time spent coding and running tests in Red Hat JBoss Developer Studio. You’ll leave the session with a solid understanding of when to use (or not use) Hibernate OGM to handle everyday NoSQL challenges.
Topics: Big data, Clustering, Development tools, Flexibility, JBoss Community, OpenShift by Red Hat, Performance, Portability, Projects, Red Hat Cloud, Red Hat JBoss Data Grid, Red Hat JBoss Developer Studio, Red Hat JBoss Enterprise Application Platform, Red Hat JBoss Middleware, Reliability, Scalability
|Emerging technologies||Thursday, April 17||11:00 am - 12:00 pm||4.0 / 5.0|
This track features how-to (step-by-step) sessions that describe aligning the activities relating to people, processes, and technologies with long-term business objectives. Example topics include: management, optimization, and reporting. Attendees will learn about practical, proven solutions that will help them meet tomorrow's business demands.
Data is emerging as the world’s newest resource for competitive advantage. As the value of insight from data continues to grow, companies are struggling with their current systems to keep pace as their present IT infrastructures and IT budgets can’t keep up with the increased demand for insights and the volume of data.
In this session, we’ll explore how top-performing organizations confront this reality by taking a different approach. You’ll learn how companies are gaining competitive advantage with new innovation and design that puts data to work faster with their Linux solutions. These systems are easy to consume and manage with open source technologies, simplified virtualization management, and flexible capabilities.
Topics: Big data
|IT efficiency||Tuesday, April 15||1:20 pm - 2:20 pm||3.0 / 5.0|
This track highlights the features and capabilities that position Red Hat Enterprise Linux 7 as the platform for next-generation IT. Sessions will cover topics specific to Red Hat Enterprise Linux 7 beta, ranging from Linux containers, the OpenLMI framework, and cross-domain identity management to the powerful system and performance management tools. Attendees can use examples of real-world use cases and the experiences of beta participants to plan their own implementations.
Red Hat Enterprise Linux 7 beta brings many changes in the file and storage world. Most significant is the choice of XFS as our default file system for all support architectures. This will expand the size of a single file system up to 500TB in supported configurations. The file system stack will also take advantage of support for a wide variety of new storage devices and is tuned to run with better latency and higher speeds on very high speed SSD storage devices. In this session, Ric Wheeler will detail these NFS and GFS2 changes.
|Road to RHEL 7||Thursday, April 17||9:45 am - 10:45 am||4.0 / 5.0|
Co-located with Red Hat Summit, DevNation offers an agenda tailored to application developers and maintainers who build with open source. Attendees from both events will be able to attend sessions in this track, which will offer sessions relevant to both audiences.
Red Hat JBoss BRMS provides a powerful complex event processing (CEP) module that can be used to detect complex patterns in streams of events. The high availability of these CEP systems is critical when used in applications like fraud detection and health monitoring systems.
In this season, Duncan Doyle will:
|Taste of DevNation||Thursday, April 17||9:45 am - 10:45 am||4.0 / 5.0|
This track features moderated panels of Red Hat customers, partners, and solution experts. Example topics include: real-world deployments, best practices, and lessons learned. Attendees will learn competitive advantages for driving increased business value.
Join this panel of industry experts as they discuss how big data is quickly becoming enterprise ready. Panelists from leading big data companies will discuss different use cases as well as the challenges of big data adoption in the enterprise today. Take part in this interactive discussion to better understand what changes big data is driving in the enterprise, and how it’s evolving in open hybrid cloud architectures. Come prepared to share your opinions and questions.
Topics: Big data
|Town hall||Wednesday, April 16||2:30 pm - 3:30 pm||2.0 / 5.0|
In this panel, you’ll interact with a panel of customers as they discuss Red Hat technologies in U.S. healthcare—from hospital to insurance to government agencies. Learn why they rely on open source technology as a foundation of their infrastructures. They’ll share information about the technology decisions they’ve made and tips and best practices for successful technology implementations.
|Town hall||Wednesday, April 16||4:50 pm - 5:50 pm||2.0 / 5.0|