DevOps

Infinispan is an extremely scalable, highly available, key-value datastore and data grid. The platform is highly flexible and can be deployed in environments ranging from on-premise physical hardware to elastic cloud environments. In this session, we'll demo how to deploy a cross-region Infinispan (JBoss Data Grid) cluster in the Amazon cloud (AWS). We'll cover the challenges faced when deploying a data grid in a single cloud region, as well as how to set up Infinispan x-site replication spanning multiple regions in the Amazon Elastic Compute Cloud (EC2). Topics discussed will include: The discovery of Infinispan nodes in a cloud environment. x-site replication across AWS EC2 regions. The new x-site state transfer feature in Infinispan 7. The remote listeners over the HotRod protocol. We'll also review the challenges imposed by the CAP theorem in a single grid in a single region and discuss data consistency challenges and possible solutions in a x-site, cross-region setup.

With microservices, polyglot, and DevOps on the rise, what's happening with testing? Do they increase complexity and make our testing efforts harder? Or do they actually make it easier to write better tests? In this session, we will explore how we can do our testing in this new world, and how the new world can help us test better. Other topics we'll discuss include: NodeJS, DynJS, VertX, Ceylon, or Ruby-orchestrated microservices. System scale testing with different configurations. Database migration and regression testing.

Techniques such as automated builds and testing, continuous integration and continuous deployment allow software to be developed to a high standard and easily packaged and deployed to test environments, resulting in the ability to rapidly, reliably and repeatedly push out enhancements and bug fixes to customers at low risk and with minimal manual overhead. What container-agnostic tools are available for testing, continuous integration and deployment of a Java EE application ? This talk will start with how to package Java EE application “operating environment” such as Operating System, JVM, Database, dependencies, and other configuration in a reusable format, such as Docker. It explains how to replicate the environment for development, testing, staging, and production minimizing the impedance mismatch between them. A quick overview of Arquillian and how it helps in a automated testing across multiple Java EE containers is shown. How functional testing, code coverage, performance and other aspects for going in to production will be discussed. Using Arquillian against Docker containers will be explained as well. Finally, configuring Jenkins for Continuous Integration and setting up deployment pipelines will show how to take an application from push-to-production and achieve almost 100% automation.

Creating a large website that's written in multiple programming languages can be tricky. Enabling it to run continuously is even harder. Join us as we outline how we brought continuous delivery to JBoss Developer (jboss.org), a thousand-page website that's served up as a mix of HTML, JavaScript and CSS and that communicates with a variety of back-end services. We'll talk about challenges we faced and our solutions, including: Sizing a converged infrastructure. Organizational challenges. Testing websites and creating good test environments . Introducing Docker.

You've worked hard and mastered every coding language on the planet, including COBOL. You know jenkins, travis, go, puppet, chef, CFengine, nagios, github, graphite, logstash, ansible, aws, gce, vagrant, cms, cvs, abc, 123, and even a little bit of TFS. Your resume is up to date, and you are ready for your next job. But you might be missing a key skill. Industry trends in engineering show a growing desire in companies to hire people who have proven soft skills, are good at collaborating with others, and can regularly solve the most complex problem we face today: effectively talking to our fellow humans. Join Jen for a conversation about the journey of becoming more comfortable with collaboration and open communication. Topics will include: Collaborate-or-die survival skills. Dreaded soft skills and how to become comfortable with them. What to do in common situations that all engineers face. How to convince others that your idea is the right idea. How to get the time you need to get your work done.

DevOps is changing at a fast pace as containers are rapidly going mainstream. In this panel, leading startup companies and Red Hat's platform group will discuss their insights and predictions for the how DevOps will change going forward. Our industry experts will discuss: DevOps Docker technology Source-to-image STI CI/CD Immutable infrastructure Panel members Krish Subramanian (moderator), OpenShift director of strategy, Red Hat Avi Cavale, CEO Shippable.com Steven Sheinfield, Sr. business development manager, NewRelic Andrew Phillips, VP of product management, XebiaLabs Langdon White, Developer evangelist, Red Hat Ryan King (introduction), Red Hat Innovate

How do we get our software out on the Internet of Things (IoT)? Many current deployment practices won’t work. Devices can be occasionally connected, through low-bandwidth networks, but are generally outside of direct control. Manually shuffling around binaries is not an option. Apache ACE is an open source Java provisioning tool that tackles such challenges. This software distribution framework allows you to centrally manage and distribute software components, configuration data, and other artifacts to target systems. In this session, learn how Apache ACE enables you to push out incremental updates and manage numerous devices. We’ll show how to update and extend a fictional car entertainment system using Apache ACE.

Kubernetes has answers to many questions related to clustering and the required low-level networking. When using Kubernetes for real live deployments we need more than those lower-level solutions however. We need things like automated deployments, load balancing for web applications, blue/green deployments and monitoring. This is all possible with Kubernetes when we start to look at Kubernetes as an API. In this talk you will learn to embrace the Kuberentes API and some of the patterns, tools and mechanisms we developed and use around Kubernetes to prepare for production grade deployments.

Docker is not just for deployment. As a developer, there are many ways Docker can make you more productive, regardless of how your app gets deployed. In this session, you'll learn practical strategies for using Docker, including how to: Run unit tests locally in multiple environments with almost no overhead. Make your integration tests easy for anyone to run by distributing them in a Docker image. Simulate advanced network topologies, especially for a service-oriented architecture. Make a Docker image in 5 minutes or less that produces builds from a consistent environment. Isolate database state changes in your test suite by using a pool of disposable containers.

You've probably heard a lot about Linux containers and the exciting potential they hold. In this presentation, Matt Hicks will cover how Docker and Kubernetes have evolved to fundamentally change how you will approach development and operations. If you are looking for an understanding of the technology and how it relates to the common roles in IT today, this is the talk to watch.

For this session we have Marek Goldmann who leads Docker related initiatives at Red Hat.  Abstract Docker is a tool for building portable Linux containers around an application. If you are unfamiliar with Docker, or have heard of it but never used it, then you should definitely come to this session because containers are the new virtualization. Docker is a revolution in thinking about software distribution. It makes the process of creating images with the whole application stack (OS + application server + application itself) easy and extremely fast. You can share them easily too, and images behave the same way on different machines. Differences between development and production environments are a thing of the past. But that's not everything - Docker helps you run images too by providing an easy to use interface. Sounds like magic, huh? In this session, right after introduction to Docker, Marek will dive into examples showing how you can leverage this tool to create a deployment environment for your applications. You will see how to cluster JBoss EAP and deploy an application to it. Marek will share some tips and tricks too: for example how to manage logs or customize the configuration of JBoss EAP to be able to deploy your applications. About Marek Marek joined Red Hat in January 2009 and started hacking on Cloud-related JBoss projects. Currently Marek leads the WildFly integration effort with the Fedora operating system, and makes sure that JBoss' projects run well on Docker.

Red Hat Summit 2017 – Planning your Cloud and Containers Labs