Azure Container Registry: Preview of diagnostic and audit logs
The Azure Container Registry team is happy to announce the preview of audit logs – one of our top items on UserVoice.
The Azure Container Registry team is happy to announce the preview of audit logs – one of our top items on UserVoice.
The Azure Container Registry (ACR) team is rolling out the preview of repository scoped role-based access control (RBAC) permissions, our top-voted item on UserVoice.
The Marco Polo Network is now generally available on Azure to help both trade banks and corporations take advantage the R3 Corda distributed ledger to better facilitate global trade in this ever-changing world.
On Thursday, August 8, 2019, GitHub announced the preview of GitHub Actions with support for Continuous Integration and Continuous Delivery (CI/CD). Actions makes it possible to create simple, yet powerful pipelines and automate software compilation and delivery.
When data scientists work on building a machine learning model, their experimentation often produces lots of metadata: metrics of models you tested, actual model files, as well as artifacts such as plots or log files.
Docker recently announced Docker Hub had a brief security exposure that enabled unauthorized access to a Docker Hub database, exposing 190k Hub accounts and their associated GitHub tokens for automated builds.
Move your data from AWS S3 to Azure Storage using AzCopyAzCopy v10 (Preview) now supports Amazon Web Services (AWS) S3 as a data; Announcing general availability of Apache Hadoop 3.
Azure and Sylabs announced today a new collaboration which enables Singularity container images to be stored in registries supporting the Open Container Initiative (OCI) Distribution Specification. Singularity version 3.0 defines a new secure Singularity Image Format (SIF).
Designed for developers and solution architects who need to understand how to move business critical apps to the cloud, this online workshop series gets you hands-on with a proven process for migrating an existing ASP.NET based application to a container based application.
When it comes to executing a machine learning project in an organization, data scientists, project managers, and business leads need to work together to deploy the best models to meet specific business objectives.