Accelerating AI and databases with Azure Container Storage, now 7 times faster and open source
The next major release of Azure Container Storage delivers higher IOPS and less latency compared to previous versions.
The next major release of Azure Container Storage delivers higher IOPS and less latency compared to previous versions.
With this practical guide, you now know how to secure your Kubernetes cluster using the structured-authentication feature, offering flexible integration with any JWT-compliant token provider.
At Microsoft, we are committed to innovation in the cloud-native ecosystem through contributions and leadership from engineers across Azure.
As the cloud-native space keeps evolving at a rapid pace, WebAssembly is emerging as a promising alternative to containers.
Project Copacetic simplifies container image patching with a CLI tool and Docker Desktop extension.
Join Microsoft at Open Source Summit North America 2024, taking place in Seattle, Washington from April 16 to 18, 2024.
Microsoft is excited to be able to support and contribute to the cloud-native and open-source communities at KubeCon Europe 2024.
Empowering developers with key improvements and innovations with Microsoft at KubeCon North America.
KEDA reduces the complexity of infrastructure autoscaling, making it simpler to configure, manage, and secure the application auto-scaler.
Securing the software supply chain and verifying that chain is hard for any software, and containers running in Kubernetes are no exception.
Welcome to KubeCon 2021 in Los Angeles! Whether you are attending in person or virtually, we’re excited to see you at the conference.
Managing Kubernetes clusters is hard. Managing Kubernetes clusters at scale across a variety of infrastructures is—well—even harder. The Kubernetes community project Cluster API (CAPI) enables users to manage fleets of clusters across multiple infrastructure providers.
Introduction Over the last few years IoT devices, machine learning (ML), and artificial intelligence (AI) have become very popular and now a lot of companies are moving forward to use them in production. All cloud providers, including Microsoft Azure, provide services on how to deploy developed ML algorithms to edge devices.