Senior Vice President Urs Hölzle will share Google's vision for the next generation of cloud computing. He'll discuss how investments in infrastructure, software and people will help usher in this new era for Google and developers around the world via the Google Cloud Platform. This session will also include announcements and demo important new features of the Platform.

For all I/O 2013 sessions, go to https://developers.google.com/live .

Google Compute Engine's had a very busy year! We've made improvements to the underlying architecture to provide even better performance, released new versions of our APIs that improve the developer experience, and introduced many new features and instance types. Come join us as we guide you through what's new and cool with Google Compute Engine, and how recent improvements can help you build more efficient, scalable and cost-effective applications in the cloud.

For all I/O 2013 sessions, go to https://developers.google.com/live .

Whether you're building a game, a mobile app, or a social analytics service, your information needs to be highly available, stored safely, and able to grow as your user base explodes. Come to this session to learn how modern distributed databases address these needs. You'll hear from a panel of four industry experts about their solutions for tackling this problem using Google's infrastructure and have the opportunity to ask the panel questions about their experiences.

For all I/O 2013 sessions, go to https://developers.google.com/live .

The performance, reliability and consistency of Persistent Disk (PD) are part of what distinguishes GCE as a next generation cloud service. Discover some of the internals of PD and what distinguishes it from comparable offerings. This session will include a technical deep dive into best practices for using PD with your GCE apps.

For all I/O 2013 sessions, go to https://developers.google.com/live .

From indie to AAA game studios, learn how cutting edge developers are building next generation experiences on the Google Cloud Platform. This session focuses on how developers are combining technologies such as App Engine, Compute Engine, and BigQuery to quickly build and scale their multi-platform releases.

For all I/O 2013 sessions, go to https://developers.google.com/live .

Highly scalable and rapid data collection and analysis is a key need for many mobile and gaming apps, as well as for sensor networks and the ""Internet of Things."" We'll show how the Data Sensing Lab incorporates a key Google Cloud Platform pattern: a high-throughput pipeline for data collection, processing, and analysis. We use the Cloud Endpoints API to collect constantly streaming data; process large amounts of data with high throughput using App Engine, Cloud Storage, and data transformation on Compute Engine; and query many GBs of collected data in just a few seconds using BigQuery.

For all I/O 2013 sessions, go to https://developers.google.com/live .

Learn about an exciting new networking feature for Google Compute Engine that enables you to specifically control how traffic is routed throughout your virtual network.

For all I/O 2013 sessions, go to https://developers.google.com/live .

Learn tools and techniques to help you build rock solid, scalable, high performance, virtual computing clusters on Google Compute Engine. Topics we'll cover:

• Summary of advanced tools (startup scripts, metadata server, service accounts, load balancing)
• Building and managing clusters
• Storage options and tradeoffs (scratch disk vs. persistent disk vs. cloud storage, snapshots, hot swap PD)
• Dealing with outages (planned and unplanned)

We'll conclude with a guided tour of a robust web service along with summary of best practices.

For all I/O 2013 sessions, go to https://developers.google.com/live .

In this talk we will describe the ATLAS Experiment on Google Compute Engine (GCE) scientific computing project and illustrate several examples of large-scale high performance computing installations on GCE, including a 1000-core PROOF cluster for ATLAS data analysis and a 4000-core HTCondor cluster used for simulation of LHC collision events. We will also discuss Xroot technology used for high- performance data clustering.

For all I/O 2013 sessions, go to https://developers.google.com/live .

Google Compute Engine provides highly efficient and scalable virtual machines for large scale data processing operations. Integration with Google App Engine provides an orchestration framework to manage large virtual machine clusters used for data processing. This session will talk demonstrate integration and discuss future use cases of the two technologies.

This session will provide an in depth overview of Google Compute Engine. Google Compute provides Virtual Machines optimized for large scale data processing and analytics. We will dive into the core concepts, API, unique features and architectural best practices in the context of concrete examples.

Google Compute Engine is a new virtual machine based cloud technology for large scale data processing and analytics workloads. It allows the world to leverage the scalability and power of Google's data centers to run computationally intensive jobs.

During this session, you will learn how to get started using Google Compute Engine. We'll show you the basics of working with the {{ console_name }}, the gcloud compute command line tool, and the API.

This demonstration covers getting started with the Google Cloud Platform and Google Compute Engine. See the process of creating a project, starting up a cloud based virtual machine and installing a web server on it.

Google Compute Engine is a great place for running Hadoop because of its consistent I/O performance which scales out predictably. In this video, Jonathan Simon walks developers through setting up Hadoop and running a MapReduce job on the Freebase dataset.

This 12 minute screencast introduces metadata in Google Compute Engine. It's useful for configuring software within your instances, making decisions in startup scripts, defining roles for your instances and much more.

Office hours with the Google Compute Engine Team on August 22, 2012. The slides can be viewed here: http://goo.gl/GtK9o . The tech talk portion of this session was about OAuth and Service Accounts, an area which the Google Compute Engine team has done a great job simplifying.

Published on Jun 9, 2014
This demonstration creates a custom Compute Engine image based on the Debian Testing release. If you've ever wanted to try your favorite distribution, or run a highly-customized image on Compute Engine, this shows how easy it can be with VirtualBox and a few simple commands.

Published on Aug 28, 2012
This video demonstrates how to create custom images for Google Compute Engine.

• python_gflags-2.0
• httplib2-0.7.7
• oauth2client-1.0