Datacenter operators face increasingly difficult challenges related to the massive growth in web-scale applications, Platform-as-a-Service, network traffic, storage, and the diversity of workloads. Enterprises need to deliver services across compute, network, and storage with greater agility and improved TCO.
Virtualization was the first phase for datacenter operators who are now asking, “What’s next? How do I deliver the next wave of datacenter efficiency? How do I offer the agility that public cloud providers like Amazon deliver?”
In this session, you’ll learn about Intel’s vision for the future of IT infrastructures and how Red Hat is uniquely positioned to help customers in the changing landscape of IT.
IT departments are under greater pressure than ever to reduce costs and increase access to larger amounts of information. In this session, we’ll cover the combination of Cisco Prime Service Catalog and Red Hat OpenShift. You’ll learn how to create domains and applications then automatically bind them to specific projects.
Capacity planning for elastic cloud infrastructure platforms like OpenStack is critical for successful deployments. The proper sizing of compute resources within OpenStack allows for easier scheduling, optimal efficiency in hardware utilization, and consistency of resource allocation.
Google Compute Engine and Amazon Web Services offer deterministic compute resources designed to meet both cloud provider business requirements and cloud consumer service-level requirements. In this session, we’ll explore these public provider approaches, extend them to OpenStack, and provide sizing data and tools to help with your deployment.
In this session, you’ll learn about:
- Approaches for providing consistent compute service levels in OpenStack.
- Building instance families for your workloads.
- Sizing compute node for OpenStack.
This session will explore concepts to help design a large cloud infrastructure using Red Hat CloudForms and Red Hat Enterprise Linux OpenStack Platform. You’ll learn how to horizontally scale OpenStack components and how to deploy a control tier that is both highly available and load balanced.
The session will provide general architecture design and concepts, but won’t get too deep into the technical details of the implementation. If you’ve considered building an OpenStack cluster, this session will provide many key concepts to help you make the decisions necessary for deployment.
OpenStack provides a platform for fault-tolerant, scale-out workloads—those that scale-out rather than scale-up. Due to the nature of these workloads, the application carries the burden of application availability rather than the underlying platform, and the SLA is upheld by multiple instances and has fault-tolerance built in. While this works for the applications themselves, the availability of underlying OpenStack services is still a concern for both end users and systems administrators. How do we guarantee OpenStack service availability, load-balance requests over multiple machines, and manage our single points of failure?
In this session, you’ll learn about the options available to maximize OpenStack uptime and mitigate the risks using Red Hat Enterprise Linux OpenStack and its associated tools.
This session will begin with a high-level overview of where OpenStack Compute (Nova) fits into the overall OpenStack architecture, as demonstrated in Red Hat Enterprise Linux OpenStack Platform. You’ll learn how OpenStack Compute interacts with other OpenStack components and complementary solutions such as Red Hat Storage Server.
The session will also provide a grounding in some common Compute terminology and a deep-dive look into key areas of OpenStack Compute, including the:
- Compute APIs.
- Compute Scheduler.
- Compute Conductor.
- Compute Service.
- Compute Instance lifecycle.
Intertwined with the architectural information will be details on horizontally scaling and dividing compute resources as well as customization of the Compute scheduler. You’ll also learn valuable insights into key OpenStack Compute features present in Red Hat Enterprise Linux OpenStack Platform.
Attendees will leave this session with an intermediate to high-level understanding of the OpenStack Compute architecture and an understanding of some of the key issues facing typical Compute deployments.
Network virtualization is becoming increasingly significant as other forms of virtualization constantly evolve. It allows network aggregation and provisioning, combining different physical networks into a single virtual network, or breaking a physical network into multiple virtual networks that are isolated from each other.
In this session, you’ll learn about Red Hat’s network virtualization offering with Red Hat Cloud Infrastructure, which includes Red Hat Enterprise Virtualization and Red Hat Enterprise Linux OpenStack Platform. The session will cover:
- Traditional VLAN-based solutions and the move toward network overlays.
- Linux Bridge and Open vSwitch.
- Neutron, the OpenStack project focused on delivering networking as a service.
- How to scale out networking in the cloud.
Software-defined Networking (SDN) is an emerging architecture that is dynamic, manageable, cost-effective, and adaptable, making it ideal for the high-bandwidth, dynamic nature of today’s applications. This architecture decouples the network control and forwarding functions enabling the network control to become directly programmable and the underlying infrastructure to be abstracted for applications and network services.
In this session, you’ll learn:
- About the integration between SDN, OpenFlow, and OpenStack.
- How SDN is essential for cloud networking and how OpenStack utilizes it.
- Various components of SDN and how they interact with each other.