DocumentDB goes cloud-native: Introducing the DocumentDB Kubernetes Operator
DocumentDB Kubernetes Operator enables you to deploy and manage open-source DocumentDB on Kubernetes. Simplify cloud-native database operations today.
DocumentDB Kubernetes Operator enables you to deploy and manage open-source DocumentDB on Kubernetes. Simplify cloud-native database operations today.
The Cloud Native team at Azure is working to make AI on Kubernetes more cost-effective and approachable for a broader range of users.
Now, with Radius Resource Types, platform engineers can define resource types specific to their organizations.
The Azure Incubations team is proud to share that Drasi has officially been accepted into the Cloud Native Computing Foundation Sandbox.
This introductory post will focus on the core concepts of Drasi, and its major components such as Sources.
Microsoft is excited to be able to support and contribute to the cloud-native and open-source communities at KubeCon Europe 2024.
KEDA reduces the complexity of infrastructure autoscaling, making it simpler to configure, manage, and secure the application auto-scaler.
As the requirements and software surrounding Kubernetes clusters grow along with the required number of clusters, the administrative overhead becomes overwhelming and unsustainable without an appropriate architecture and supportive tooling.
Open source has forever changed software development for the better. It has allowed developers from around the world to connect, collaborate, and build tomorrow’s technology. Microsoft culturally adopted an open mindset under Satya Nadella and internally changed the way software was developed.
Today, we are excited to announce an open-source project called Azure AD workload identity for Kubernetes. It leverages the public preview capability of Azure AD workload identity federation.
Securing the software supply chain and verifying that chain is hard for any software, and containers running in Kubernetes are no exception.
This post was co-authored by Alejandro Saucedo, Director of Machine Learning Engineering at Seldon Technologies. About the co-author: Alejandro leads teams of machine learning engineers focused on the scalability and extensibility of machine learning deployment and monitoring products with over five million installations.
In partnership with developers from Red Hat, we are announcing the introduction of Local Tunnel Debugging for Kubernetes service in the Kubernetes extension for Visual Studio Code, which enables you to use your native development tools against any cluster, live.