April 2026 | Page 9 of 33 | Microsoft Open Source Blog

June 2, 2021 2 min read

Enabling Local Tunnel Debugging with the Kubernetes extension for VS Code

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.

May 25, 2021 3 min read

Delivering reliable production experiences with PyTorch Enterprise on Microsoft Azure

At Microsoft, we use PyTorch to power products such as Bing and Azure Cognitive Services and we actively contribute to several PyTorch open-source projects, including PyTorch Profiler, ONNX Runtime, DeepSpeed, and more.

May 10, 2021 3 min read

Making eBPF work on Windows

eBPF is a well-known but revolutionary technology—providing programmability, extensibility, and agility.

May 4, 2021 1 min read

Prioritizing inclusion—our commitment to building healthy open source communities

Microsoft products and services run on trust, an extension of our commitment to building healthy open source communities.

Project updates April 6, 2021 1 min read

Announcing preview of Microsoft build of OpenJDK for Java 11

Today we announcing the first preview of the Microsoft Build of OpenJDK, a new long-term support (LTS) distribution of OpenJDK that is open source and available for free for anyone to deploy anywhere.

March 1, 2021 5 min read

Optimizing BERT model for Intel CPU Cores using ONNX runtime default execution provider

This blog was co-authored with Manash Goswami, Principal Program Manager, Machine Learning Platform.

Project updates February 22, 2021 2 min read

Microsoft Open Source success story—Babylon

An ongoing series of stories about Microsoft people and projects making their world better through open source.

February 18, 2021 5 min read

Create privacy-preserving synthetic data for machine learning with SmartNoise

Watch our webinar on Open Data Science Conference Read the white paper on SmartNoise Differential Privacy machine learning case studies The COVID-19 pandemic demonstrates the tremendous importance of sufficient and relevant data for research, causal analysis, government action, and medical progress.