ApacheCon NA 2015

In this presentation Remi Bergsma shares his tool box of scripts that come in handy when you're working with CloudStack on a day-to-day basis.

The scripts were written to automate operating the Schuberg Philis Mission Critical Cloud, which is built on top of CloudStack.

The scripts are witten in Python using the Marvin library to talk to CloudStack. Some are just plain handy, others have a story to tell.

We'll walk you through the tool box, present some common use cases and of course you can download them to give them a go!

Apache Hadoop and its large family of related projects is a critical part of large scale Big Data analytics in the cloud. In this talk we will discuss feedback from users of our Apache Hadoop based service HDinsight. We will pull back the covers on this service and delve into how we’ve integrated open source components such as Hadoop, Pig, Hive, Oozie, Tez, Zookeeper and others.

Users of HDinsight have provided valuable feedback which has led our team to contribute directly to some of these project communities. As you would expect our users have also benefited from the contributions of others. We’ll look at some of our contributions to projects like Hadoop,  Hive and YARN and, more importantly, we’ll examine how you might leverage this work in your Hadoop workloads.

Finally, we’ll look at how our partnerships with other community members have resulted in both easier deployment of Big Data apps to the cloud and accelerated innovation in these Apache projects.

Cloudsoft is best known as the founder of Brooklyn - an Apache Incubator project. In this talk we look at the background to Brooklyn; its fundamental role in a new open source project Clocker aka the Docker cloud maker; and how it integrates seamlessly with Cloud Foundry providing developers with access to a wide range of services.

This session will introduce the basics of primary storage in CloudStack. Additionally, I discuss the challenges of guaranteeing storage performance in a cloud and how by leveraging the latest enhancements to CloudStack, storage administrators can deliver consistent, repeatable performance to 10s, 100s or 1,000s of application workloads in parallel. I'll review the CloudStack enhancements in detail, outline the management benefits they provide and discuss common go-to-market approaches.

Apache jclouds® is an open source multi-cloud toolkit for the Java platform that gives you the freedom to create applications that are portable across clouds while giving you full control to use cloud-specific features.

There is a great community behind this toolkit working together to provide a better experience for developers in the cloud. Their goal is to simplify the control of many different clouds in your application. The result is a toolkit that allows developers to write better code, in a shorter period of time, that works across many clouds.

Learn about how jclouds is used by others to innovate and what jclouds can do for you.

Everybody's getting a private cloud install these days. Look at those racks, all those shiny new boxes, all that juicy compute and storage, just sitting there, running daytime HR or web serving workloads. Wouldn't you love to get your hands on that spare capacity and put it to real use? Burst your Hadoop workloads into it when no one else needed it, without angering the neighbors? At HP Helion we're working on an OpenStack system to add more knobs and dials to your private cloud workloads, and make it easy to figure out how much spare capacity you have, and then put that compute and storage to work when it isn't in use. In this talk we'll outline the problem space, talk about some approaches to spanning existing Hadoop installs and private clouds, and then show the solution we're building out that lets you consume capacity as it's available, and give it back when it's needed elsewhere.

Operations in datacenters today suffer huge inefficiencies because services are placed in static partitions and they require a lot of manual intervention to operate at scale, at high efficiency, and at high-availability. Most of these challenges stem from a host-centric view of the world, where operators have to work at the level individual servers. This is a “broken” part of the datacenter that is the target of many of Apache’s most interesting projects. In this talk, Christos Kozyrakis, Director of Research at Mesosphere, will explain the emergent “treating your datacenter like a single computer” model, and highlight specific Apache Projects (Apache Mesos, Apache Zookeeper and Apache Spark) that are making this possible.

The Diego project was originally conceived as a rewrite of the Droplet Execution Agent (DEA) component of the Cloud Foundry elastic runtime, the component responsible for scheduling, starting, stopping, and scaling  applications in Linux containers. Since Diego’s inception, this development effort has been guided by core principles such as simplicity, loose coupling, high cohesion, separation of concerns, and seeking the right abstractions.

These guiding principles have resulted in an extremely modular platform that provides a welcome home for your microservices. Microservices are loosely coupled, independently deployable applications whose individual scopes are guided by the concept of bounded contexts. Martin Fowler has described well the operational maturity required to employ microservices architectures, memorably stating “you must be this tall to ride the microservices ride,” with the capability to do rapid deployment and basic monitoring. Diego’s opinionated automation and health checking provide a great platform for operating microservices. At the same time, this platform has clean abstractions that support useful extension points.

In this presentation we'll explore the Diego architecture, highlight Diego’s role as the new core of the Cloud Foundry elastic runtime, and illustrated how Diego is being used as a component in other platforms such as Lattice and Spring XD. We'll also look at how Diego's abstractions provided an easy road to adding alternative backends for other platforms like core Windows/.NET support to Cloud Foundry. Finally, we'll discover how Diego's abstractions are providing the Spring Cloud project with a clear road to providing tighter integration between the Netflix OSS stack of services and Cloud Foundry, with a goal of enabling support for polyglot cloud-native application architectures.

Oracle Linux provides a solid foundation for deploying Websites and mission-critical applications using Apache products. With innovative features such as zero-downtime kernel patching with Ksplice, support for emerging cloud technologies such as Docker, Linux Containers, and OpenStack, and real-time tracing with DTrace, Oracle Linux is an ideal choice for high traffic, critical services where downtime is not an option. Join Oracle Linux experts as they discuss how to leverage these key features of Oracle Linux with your Apache deployments.