Welcome to above the clouds
AWS – Amazon Elastic File System triples read throughput
Amazon Elastic File System (Amazon EFS) now allows you to drive up to 3x higher read throughput on your file system. For example, bursting mode file systems now provide 300MB/s of bursting read throughput, or 300MB/s per TiB of data stored in Amazon EFS standard, whichever is higher. If you have configured 1 GB/s of […]
AWS – Amazon Managed Blockchain now supports resource tagging and tag-based access control
Amazon Managed Blockchain now supports assigning tags to networks, members, proposals, invitations, and nodes. Tags can be assigned to existing resources and to new resources at the time of creation. You can also define fine-grained access controls using tags and AWS Identity and Access Management (IAM) policies to control access to resources and actions. Tags […]
GCP – Opening up Google’s Windows management tools
Managing a global fleet of Windows desktops, laptops, and servers for Google’s internal teams can be tricky, with a constant stream of new tools, high expectations, and stringent organizational needs for secure, code-based, scalable administration. Add in a globally distributed business and extended work-from-home requirements, and you have a recipe for potential trouble. Today we’d […]
GCP – Building the digital factory with SAP on Google Cloud
Manufacturers today face challenges on many fronts: increasingly demanding customer expectations, higher costs, sustainability concerns, and disruption—most recently and dramatically due to the global COVID-19 pandemic. But data can help companies navigate their way through the obstacle course of modern manufacturing. Manufacturing generates petabytes of useful data that can improve production yields, avert problems, and […]
Azure – Azure Sphere version 21.01 is now available
This release includes new memory and current control functions as well as new features in the SDK. Read More for the details.
Azure – Public preview: Azure Machine Learning Data Labeling – Image Instance Segmentation
Data Labeling in Azure Machine learning gives you a central place to create, manage, and monitor labeling projects. Read More for the details.
Azure – General availability: Azure Machine Learning Output Datasets
Read data in the cloud efficiently with Output datasets. Read More for the details.
AWS – AWS Glue DataBrew now supports six additional delimiters for its datasets
AWS Glue DataBrew now supports the following delimiter options for its datasets giving you flexibility to bring in a variety of .csv and .tsv files into DataBrew for data preparation. The supported delimiters include: comma (,) colon (:) semi-colon (;) pipe (|) tab (t) caret (^) space ( ) Read More for the details.
AWS – AWS Glue DataBrew is now available in six additional AWS Regions
AWS Glue DataBrew, a visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalize data for analytics and machine learning, is now available in the following six additional AWS Regions: US West (N. California) Asia Pacific (Singapore) Asia Pacific (Mumbai) EU (Stockholm) EU (London) EU (Paris) Read […]
AWS – AWS RoboMaker supports data upload configurations in simulation jobs
AWS RoboMaker now supports data upload configurations in simulation jobs, which allows developers to define the type of simulation data they want to upload, choose the upload behavior, and reliably upload the simulation data to their preferred Amazon S3 output location. This functionality makes it easier for developers to review or analyze application output generated […]