April 2017 - Seite 141 von 178 - Cloud Computing Köln

We know you’ve been wanting faster and easier access to GPU computing for AI in the cloud, so today we are excited to be the first major cloud provider to globally offer the NVIDIA Tesla P100 GPU card currently being revved up in our data centers and will be available in the forthcoming weeks.
NVIDIA and IBM have been partnering since 2014 to bring you the latest GPU technology in the cloud including being first to market in 2015 with the NVIDIA Tesla K80 and the Tesla M60 in 2016.
And now our customers can experience even more power to take on their AI and deep learning workloads with the P100s.
The landscape is changing and IBM Cloud and NVIDIA are at the forefront of the revolution.
Where supercomputing was once only something afforded by large corporations, by adding NVIDIA GPUs into the cloud, we are making it easily accessible to all.
We’re seeing deep learning and AI transition from traditionally research oriented computation to workloads dealing with infinite computing needs. The advantages of running high performance computing (HPC) in the cloud with NVIDIA GPUs, span industries and today offers financial services, healthcare, and scientific research the ability to perform better and calculate and analyze data faster. In fact, GPUs are now crossing over into business situations to attack business oriented problems, which essentially helps customers of any size or type answer their most complex big data challenges.
Recently, IBM Cloud, together with MapD and Bitfusion, were able to scale up to 64 Tesla K80 GPUs across 32 servers to filter, query and aggregate a 40-billion-row data set in just 271 milliseconds. That’s a mind-blowing 147 billion rows per SECOND. Imagine the possibilities with the new P100.
Watch how Bitfusion incorporated its software developed to manage deep learning and GPUs to help our customer MapD add GPUs to their cloud environment to accelerate their data analytics.

When you provision your bare metal server with two NVIDIA Tesla P100 GPU cards, you can see 50 times the performance than its predecessor, the Tesla K80. The addition of the accelerator can deliver up to 65 percent more machine learning capabilities giving you higher throughput than traditional virtualized servers.
For those ready to start trying out GPUs in a cloud environment, we currently offer NVIDIA Tesla M60 and K80, designed for high performance acceleration of scientific computation and data analytics. The Tesla M60 (with NVIDIA GRID software) along with the GRID K2, are engineered for professional grade virtualized graphics—all available on various pre-configured bare metal servers with hourly and monthly options.
Check out the configurations and the infographic.
A version of this article originally appeared on the IBM Bluemix blog.
The post NVIDIA Tesla P100 GPU: Be prepared for the AI revolution appeared first on #Cloud computing news.
Quelle: Thoughts on Cloud

7. April 20177. April 2017

da Agency

What’s brewing in Visual Studio Team Services: April 2017 Digest

This post series provides the latest updates and news for Visual Studio Team Services and is a great way for Azure users to keep up-to-date with new features being released every three weeks. Visual Studio Team Services offers the best DevOps tooling to create an efficient continuous integration and release pipeline to Azure. With the rapidly expanding list of features in Team Services, teams can start to leverage it more efficiently for all areas of their Azure workflow, for apps written in any language and deployed to any OS.

Git tags

We’ve now added tag support into the web experience. Instead of creating tags from the command line and pushing the tags to the repository, you can now simply go to a commit and add a tag. The tag creation dialog will also let you tag any other ref in the repo.

Your commits will now show the tags that you have created.

The commit list view also supports a context menu. No need to go to the commit details page to create tags and create new branches.

Soon we will add a page for tag management.

Git branch policy improvements

Branch policies provide a great way to help maintain quality in your repos by allowing you to require a passing build, require code reviewers, and more. As part of review pull requests, users often leave comments. You can now ensure that all comments in pull requests are being addressed with the new Comments policy. Once enabled, active comments will block completion of the PR. Reviewers that leave comments for the PR author but optimistically approve the pull request can be sure that comments won’t be missed.

Sometimes you need to override policies, such as in the middle of the night when addressing an issue in production. Users bypassing pull request policies must now specify a reason. In the Complete pull request dialog, users will see a new Reason field, if they choose to bypass.

After entering the reason and completing the pull request, the message will be displayed in the pull request’s Overview.

Import Team Foundation Version Control into a Git repo

If you’re using Team Foundation Version Control (TFVC) and are looking for an easy way to migrate to Git, try out the new TFVC import feature. Select Import Repository from the repository selector drop-down.

Select TFVC for the source type. Individual folders or branches can be imported to a new Git repository, or the entire TFVC repository can be imported (minus the branches). You can import up to 180 days of history.

Team Foundation Version Control support for Android Studio, IntelliJ, and Rider

We’ve now officially released support for TFVC in Android Studio and the variety of JetBrains IDE’s such as IntelliJ IDEA and Rider EAP. Users can seamlessly develop without needing to switch back and forth from the IDE to the command line to perform their Team Services actions. It also includes additional features that you otherwise wouldn’t get from the command line client, such as seeing an updated status of your repository’s related builds along with the capability to browse work items assigned to you or from your personal queries.

Currently we support:

Checkout a TFVC repository from Team Services or Team Foundation Server 2015+
Execute all basic version control actions such as add, delete, rename, move, etc.
View local changes and history for your files
Create, view, and edit your workspace
Checkin and update local files
Merge conflicts from updates
Lock and unlock files and directories
Add labels to files and directories
Configure a TFS proxy

Check out our brief demo of getting up and running inside of Android Studio. For a more comprehensive look at the plugin, checkout our presentation and tutorial inside of IntelliJ.

To start using the TFVC features, download the latest version of the plugin and follow the setup steps.

Continuous delivery in the Azure portal using any Git repo

You can now configure a continuous delivery (CD) workflow for an Azure App Service for any public or private Git repository that is accessible from the Internet. With a few clicks in the Azure portal, you can set up a build and release definition in Team Services that will periodically check your Git repository for any changes, sync those changes, run an automated build and test, followed by a deployment to Azure App Service.

Start using this feature today by navigating to your app’s menu blade in the Azure portal and clicking Continuous Delivery (Preview) under the App Deployment section.

Conditional build tasks

If you’re looking for more control over your build tasks, such as a task to clean things up or send a message when something goes wrong, we now support four built-in choices for you to control when a task is run:

If you are looking for more flexibility, such as a task to run only for certain branches, with certain triggers, under certain conditions, you can express your own custom conditions:

and(failed(), eq(variables['Build.Reason&039;], &039;PullRequest&039;))

Take a look at the conditions for running a task.

Customizable backlog levels

You can now add backlog levels to manage the hierarchy of their work items and name them in a way that makes sense for your work item types. You can also rename and recolor existing backlog levels, such as Stories or Features. See Customize your backlogs or boards for a process for details on how to get started.

Mobile work item discussion

Our mobile discussion experience has been optimized to provide a mobile-friendly, streamlined experience for submitting a comment. Discussion is the most common action that takes place in a mobile device. We look forward to hearing what you think about our new experience!

Extension of the month

If you are like us, you use open source software in your development projects. Reusing components enables great productivity gains. However, you can also reuse security vulnerabilities or violate licenses without realizing it.

The WhiteSource Bolt extension for build makes it easy to find out whether you are using vulnerable components. After installing it in your account, add it to your build definition and queue a new build. You’ll get a report like the following. In the table under the summary, you will see a list of components with issues and the recommended way to address those issues.

If you have Visual Studio Enterprise, you get 6 months of WhiteSource Bolt for one team project included with your subscription (redeem the code from your benefits page or see this page for VS subscribers for more detailed instructions).

Have a look at the full list of new features by checking out the release notes for March 8th and March 29th.

Happy coding!
Quelle: Azure

6. April 20176. April 2017

da Agency

Enhance protection of VMs with Azure Advisor backup recommendations

We have seen a few customer cases where customers accidentally deleted VMs or data inside a VM running in Azure. While Azure provides protection against infrastructure related failures, it can’t guard against user initiated actions such as accidental deletion or a wrong patch on the guest OS triggered by customer. Azure Backup provides a capability to guard against accidental deletions and guest OS level corruption scenarios using its cloud-first approach to backup and seamlessly enables to restore a full VM or instantly recover files inside a VM. Customers can configure backup either from Recovery Services vault or directly from VM management blade. However, we have seen customers missing on configuring backup and risking their critical data. Today we are making a step towards making sure that we advise you to protect your VMs using backup with Advisor recommendations, made generally available last week.

Azure Advisors, is a personalized cloud consultant that helps to optimize use of Cloud, as customers start on their digital transformation using Azure. It analyzes your Azure usage and provides timely recommendations to help optimize and secure your deployments. It provides recommendations in four categories: High Availability, Security, Performance and Cost. With this announcement, it can provide recommendations about virtual machines which are not backed up and with few clicks it will let you enable backup on those virtual machines.

Value Proposition:

Periodic Recommendations – Advisors provide hourly recommendations for virtual machines that are not backed up so that you never miss to backup important VMs. You can also control recommendations by snoozing them.

Seamless experience to backup – You can seamlessly enable backup on virtual machines by clicking on a recommendation and by specifying vault (where backups will be stored) and backup policy (schedule of backups and retention of backup copies).

Freedom from infrastructure – With Azure Backup integration into recoomendations, you need not provision any additional infrastructure to configure backup.

Application consistent backup – Azure Backup provides application consistent backup for Windows and Linux and by configuring backup using recommendations, you will get a consistent backup without the need to shut down the virtual machine.