Archive for the ‘Cloud’ Category

Cloud weekly news digest (14.10.2018)

October 14th, 2018
Cloud weekly news digest (14.10.2018)

Machine Learning: Microsoft has released a new open-source cross-platform framework for model-based machine learning called Infer.Net: https://www.infoworld.com/article/3311994/machine-learning/microsoft-open-sources-infernet-machine-learning.amp.html 25 Open-Source Machine Learning Repos: https://heartbeat.fritz.ai/25-open-source-machine-learning-repos-to-inspire-your-next-project-3b027a90155 AI: Case study from New York University about usage of Google open-source AI for lung cancer research: https://itsfoss.com/open-source-ai-diagnoses-lung-cancer/ NVIDIA GPU related: Article about RAPIDS – open source libraries for NVIDIA’s GPUs for

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Cloud weekly news digest (7.10.2018)

October 7th, 2018
Cloud weekly news digest (7.10.2018)

Machine Learning: Latest news about Amazon SageMaker: https://aws.amazon.com/blogs/machine-learning/how-to-use-common-workflows-on-amazon-sagemaker-notebook-instances/ https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-neural-topic-model-now-supports-auxiliary-vocabulary-channel-new-topic-evaluation-metrics-and-training-subsampling/ Segmenting brain tissue using Apache MXNet with Amazon SageMaker and AWS Greengrass ML: https://aws.amazon.com/blogs/machine-learning/segmenting-brain-tissue-using-apache-mxnet-with-amazon-sagemaker-and-aws-greengrass-ml-inference-part-1/ https://aws.amazon.com/blogs/machine-learning/segmenting-brain-tissue-using-apache-mxnet-with-amazon-sagemaker-and-aws-greengrass-ml-inference-part-2/ If you wish to to run machine learning projects on Kubernetes, the guide below will explain to Kubeflow on Amazon EKS: https://aws.amazon.com/blogs/opensource/kubeflow-amazon-eks/ How Azure ML Streamlines Cloud-based Machine Learning: https://thenewstack.io/how-the-azure-ml-streamlines-cloud-based-machine-learning/ Deploy

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Cloud weekly news digest (30.9.2018)

September 30th, 2018
Cloud weekly news digest (30.9.2018)

Machine Learning: Introduction to machine learning in Azure: https://azure.microsoft.com/en-us/blog/announcing-automated-ml-capability-in-azure-machine-learning/ https://azure.microsoft.com/en-us/blog/release-models-at-pace-using-microsoft-s-automl/ New features in Azure machine learning services: https://azure.microsoft.com/en-us/blog/what-s-new-in-azure-machine-learning-service/ https://azure.microsoft.com/en-us/blog/experimentation-using-azure-machine-learning/ Challenges designing machine learning models: https://www.oreilly.com/ideas/why-its-hard-to-design-fair-machine-learning-models https://arxiv.org/pdf/1808.00023.pdf Deep Learning: Explanation of AWS services for supporting deep learning: https://missinglink.ai/blog/aws/using-data-locality-for-deep-learning-in-aws/ Comparison between cloud deep learning services: https://www.wimoxez.com/top-cloud-computing-for-deep-learning/ AI: Article about Azure cognitive services: https://azure.microsoft.com/en-us/blog/global-scale-ai-with-azure-cognitive-services/ HPC: If you are

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Cloud weekly news digest (23.9.2018)

September 23rd, 2018
Cloud weekly news digest (23.9.2018)

Machine Learning: Google cloud has added a new feature, which allows “What-if” machine-learning scenarios without writing code: https://ai.googleblog.com/2018/09/the-what-if-tool-code-free-probing-of.html A new service from Google called Cloud Inference API which allows to gather insights from typed time series datasets: https://cloud.google.com/blog/products/ai-machine-learning/introducing-cloud-inference-api-uncover-insights-from-large-scale-typed-time-series-data Google now offers 10 hands-on labs for data scientists: https://cloud.google.com/blog/topics/training-certifications/new-qwiklabs-quest-available-data-science-google-cloud-platform Coursera now offers advanced machine-learning courses about

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Survey of Cloud Computing in Israeli Academia-January 2018

May 24th, 2018
Survey of Cloud Computing in Israeli Academia-January 2018

In January 2018, IUCC carried out its first cloud computing survey. The goal of the survey was to learn about how and to what extend cloud computing was used in academic institutions in Israel. These are some highlights from the survey: Cloud service providers: 46% of institutions use Amazon Web Services (AWS) 31% of institutions use

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Cloud Computing Wiki

May 23rd, 2018
Cloud Computing Wiki

We are happy to announce that the IUCC Cloud Wiki is now live. The Wiki presently has detailed “How To” guidelines for AWS, GCP and MS Azure, covering topics such as opening accounts, creating environments, “cheat sheets” and much more.  We are confident you and your institutions will find the material useful. We welcome feedback

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Benefits of using managed database as a service in the cloud

April 23rd, 2018
Benefits of using managed database as a service in the cloud

When using public cloud services for relational databases, you have two options: IaaS solution – Install a database server on top of a virtual machine PaaS solution – Connect to a managed database service In the traditional data center, organizations had to maintain the operating system and the database by themselves. The benefits are very

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Cloud Providers Service Limits

April 9th, 2018
Cloud Providers Service Limits

When working with cloud service providers, you may notice that at some point there are service / quota limitations. Some limits are per account / subscription; some of them are per region and some limits are per pricing tier (free tier vs billable). Here are some of the most common reasons for service / quota

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Best practices for using AWS access keys

February 19th, 2018
Best practices for using AWS access keys

AWS access keys enable us to use programmatic or AWS CLI services in a manner similar to using a username and password. AWS access keys have account privileges – for better and for worse. For example, if you save access keys (credentials) of a root account inside code, anyone who uses this code can totally

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Tags for Cloud Resources: Tips and Best Practices

February 15th, 2018
Tags for Cloud Resources: Tips and Best Practices

Cloud service providers (such as AWS, Azure, and GCP), allow us to add tags to cloud resources. These tags serve multiple functions. This post gives a brief overview of what tags are and why we should use them when managing environments in the cloud. Tags are metadata that we can add to a cloud resource

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