Last year Microsoft and Red Hat announced Kubernetes Event-driven Autoscaling (KEDA) – a way to bring event scale for any container or workload deployed into any Kubernetes cluster. Since then, we have been blown away by the response from the community in helping to make KEDA even better.
As more users take advantage of Kubernetes for their Windows applications, the Windows community in Kubernetes has been working on improvements that enable even more use cases. With the release of Kubernetes v1.18, many of these changes are taking shape.
The questions started around KubeCon San Diego. Maybe because we had just released Helm 3. Or, maybe because a few operator tools had been put up for adoption by CNCF. Whatever the cause, I started receiving questions about Helm and operators.
Today we are announcing the release of Accessibility Insights for Android, a new addition to our family of open source tools that help developers find and fix accessibility issues early in the development process.
On behalf of HashiCorp and Microsoft, I am excited to announce the release of version 2.0 of the Azure Provider for Terraform. Version 2.0 is a major version upgrade that incorporates a number of features that customers have been asking for, as well as a whole host of smaller but impactful changes.
This post is co-authored by Emma Ning, Azure Machine Learning; Nathan Yan, Azure Machine Learning; Jeffrey Zhu, Bing; Jason Li, Bing One of the most popular deep learning models used for natural language processing is BERT (Bidirectional Encoder Representations from Transformers).
We are delighted to announce the Applied Cloud Stories initiative by Microsoft! What is Applied Cloud Stories? Do you work with open source? Are you passionate about machine learning or data science? Do you have stories to share about solving scale or data challenges? Are you investing time and effort so that you and your.
HL7 FHIR (Fast Healthcare Interoperability Resources) is an open standard for healthcare interoperability. Microsoft contributes enthusiastically to FHIR and the health standards community, from developing open source servers, tools, and libraries to hosting managed services in Azure, as well as technical evangelism and development of core specifications.
Trust is key to open source. Developers should be able to trust users to respect their licensing choices. And when you receive software, you should be able to trust that the open source licenses were followed.
Today we announced that the W3C Trace Context specification entered Proposed Recommendation maturity level. A unified approach for propagating distributed trace identifiers and context improves observability into the behavior of distributed applications, facilitating problem and performance analysis. The interoperability provided by Trace Context is a prerequisite to manage modern applications with a microservice architecture.
When Microsoft launched Azure Event Grid in August of 2017, our goal was to make it easier to quickly architect and compose event-driven systems. Pretty much at the same time, Serverless Inc.
Earlier this year, we released Data Accelerator for Apache Spark as open source to simplify working with streaming big data for business insight discovery. Data Accelerator is tailored to help you get started quickly, whether you’re new to big data, writing complex processing in SQL, or working with custom Scala or Azure functions.
Hello KubeCon and welcome to San Diego! It’s fantastic to have the chance to get some warm California sun, as well as the warmth of the broader Kubernetes community.
