Open source is the foundation for AI and, as AI workloads scale, developers need that foundation to be more secure, more predictable, and easier to build apps and agents.
With the growing trend towards deep learning techniques in AI, there are many investments in accelerating neural network models using GPUs and other specialized hardware. However, many models used in production are still based on traditional machine learning libraries or sometimes a combination of traditional machine learning (ML) and DNNs.
J4K is a developer-oriented conference focused on open source and hybrid cloud application development of Java and Kubernetes. This is a community event, delivered by stellar Java community leaders, and is dedicated to enriching developers and architects with cloud-focused solutions. Registration is free.
Since Windows worker node support reached general availability in Kubernetes, Microsoft and Tigera have listened closely to feedback from the community. A big contention point of Windows container users in the Kubernetes community is: “One of the most important open source network policy tools in the market is not available for Windows.
Dapr integration in the Azure API Management (APIM) service is now available. This new capability enables operations teams to directly expose Dapr microservices as APIs and make those APIs discoverable and easily consumable by developers with proper controls across multiple Dapr deployments—whether in the cloud, on-premises, or on the edge.
CloudSkew is a free online diagram editor that helps you draw cloud architecture diagrams. CloudSkew diagrams can be securely saved to the cloud and icons for AWS, Microsoft Azure, Google Cloud Platform, Kubernetes, Alibaba Cloud, Oracle Cloud (OCI), and more are included.
Following the release of our Developer Preview in June, today we’re announcing an exciting next step as we make the source code of TensorFlow-DirectML, an extension of TensorFlow on Windows, available to the public as an open-source project on GitHub.
Model training is an important step when developing and deploying large scale Artificial Intelligence (AI) models. Training typically utilizes a large amount of compute resources to tune the model based on the input dataset.
Long gone are the days when you had to create your own user account management, authentication, and authorization for your web delivered software. Instead, contemporary applications leverage these functions (Identity and Access Management or IAM for short) from an external provider. As a full-featured Java application runtime, Open Liberty has great options for externally provided IAM.
Microsoft has invested in the security of open source software for many years and today I’m excited to share that Microsoft is joining industry partners to create the Open Source Security Foundation (OpenSSF), a new cross-industry collaboration hosted at the Linux Foundation.
Today we are releasing version 1.4 of our Visual Studio Code Docker extension, which makes it easy to build, manage, and deploy containerized applications from Visual Studio Code (VS Code). In this release, you can now view and troubleshoot containers deployed in Azure Container Instances (ACI) from within VS Code.
Our world is increasingly reliant on cloud services that are expected to have high availability and handle high throughput with minimal latency. These services are also expected to be resilient and reliable in the presence of internal and external failures, while maintaining a high quality bar in the presence of continuous evolution and change.
We’re excited to announce a new extension for Azure Functions that lets a function seamlessly interact with Dapr for building cloud-native applications. Azure Functions provides an event-driven programming model and Dapr provides a set of essential cloud-native building blocks.
