Platform9 has proposed a number of presentations for OpenStack Summit. Please cast your votes on those you want to hear at Sydney or on YouTube! Each of these presentations can be found using the link or these keyword(s) in its title.

Customer Case Study: EBSCO on Remotely Managed OpenStack

Using Remotely Managed OpenStack, EBSCO has been able to focus on application development and drive revenue for the business, while letting Platform9 deliver on feature requests. In addition to telling the audience about continuous integration/continuous deployment and database use cases, EBSCO will also elaborate on the benefits they have availed through the remotely delivered service model, and how this model will allow them to easily scale OpenStack.

  • Tip: If the link doesn’t work, you can find this presentation by searching for “EBSCO

Remotely Managed OpenStack (and Kubernetes): What Is It, Why You Should Use It, How To Get Started

Through this presentation, you will learn about how remotely managed OpenStack works, its value proposition, and how you can get started in just a few seconds.

A Comparison of Remotely Managed OpenStack Products

This talk will familiarize IT decision makers and OpenStack operators about remotely-managed OpenStack and guide them through different products available in the market. Topics covered will include comparisons of feature sets, pricing, upgrade cycles, level of monitoring, ease of deployment, and security, among others.

Lessons Learned from Managing OpenStack and Kubernetes Deployments At Scale

The ability to deploy quickly, manage efficiently and monitor proactively is a key part of our value proposition for our customers. It has presented us with numerous opportunities to learn and meet the expectations of customers, both large and small. Some of the topics covered in this “lessons learned” talk will include:

  • Tracking health metrics and managing inventory changes
  • Performing upgrades safely and with minimal downtime
  • Enabling fault-tolerant OpenStack and Kubernetes services

Omni v2.0: GCE, Azure integration and support for multiple regions

OpenStack Omni was featured in the OpenStack Barcelona Summit Keynote. The drivers provide the ability to integrate core OpenStack projects such as Nova, Neutron, Cinder, etc. with AWS and provide a seamless experience managing an AWS endpoint using OpenStack. Notable features we will discuss in this presentation include:

  1. Support for different AWS/GCE/Microsoft Azure accounts per Keystone tenant
  2. Leveraging the concept of OpenStack AZs to support multiple regions and AZs of public cloud providers
  3. Deep dive into the GCE and Microsoft Azure integration

Scientific Workloads on Openstack: The Untold Story

Openstack based private clouds offer an ideal environment for operating scientific workloads.  However, there is hardly any documentation on techniques and architecture for Openstack based cloud. In this talk, we hope to provide a guide to running these workloads with Openstack. Topics and examples covered will include:

  1. Classifying scientific workloads: CPU bound, Memory bound or IO bound.
  2. Managing CPU w/ Openstack, libvirt and KVM.
  3. Managing memory
  4. Network I/O
  5. Managing users and access to resources
  6. Shared infrastructure: Using opportunistic scaling
  7. Standardization: Using Murano apps versioning for deploying Scientific computing workloads.

Building a distributed benchmarking service for Openstack

Openstack benchmarking tools, including Rally, are hard to setup and require the user to dig into documentation and modify config files to be up and running. To solve this, we built a distributed, scalable benchmarking system. The service which can be used via a web-UI, makes it extremely easy to attach cloud-deployments and benchmark them. It builds on Openstack Rally, a CLI-only benchmarking tool and creates a benchmark-as-a-service system.

Automated, intelligent network monitoring and self healing

Often, cloud users may face network connectivity issues by failing to handle the complicated configuration details. This, in turn, increases the workload of support teams who need to perform checks on configurations with lengthy details to help users identify the problem. To address this issue, we developed a tool that automatically monitors the network condition and self-heals the cloud. In this talk, we give an overview of  issues we experienced with Neutron networking at scale and presented a scalable and pluggable framework that would automatically detect the problems in the Neutron networks.

Please cast your votes before Thursday (August 3) at 11:59pm PDT! If needed, you can setup a login in a few seconds. Feel free to use the comments section below for any questions you may have.

Akshai Parthasarathy

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