Join Microsoft at KubeCon and CloudNativeCon Europe 2023
As we come together in Amsterdam, there are significant headwinds and challenges facing us, but I’m confident that open-source and cloud-native computing are critical parts of the solutions.
Topic: Cloud
Join us at the Build in the Open Happy Hour to connect and collaborate with Open Source enthusiasts
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.
KubeCon North America 2021: Kubernetes on Azure and open source updates
Welcome to KubeCon 2021 in Los Angeles! Whether you are attending in person or virtually, we’re excited to see you at the conference.
How to migrate and modernize Linux workloads and open source databases to Azure
With extensive support for all major Linux distributions including Red Hat, SUSE, Ubuntu, CentOS, Debian, and managed platform-as-a-service (PaaS) offerings for open source databases like Azure Database for MySQL, Azure Database for PostgreSQL, and Azure Database for MariaDB—it’s no surprise that Linux is the fastest growing platform on Azure.
Empowering you to achieve more with open source on Azure
At Microsoft, we are taking cloud architecture to the next level and our open cloud reduces the friction for developers to get applications up and running. We give autonomy and control to the developers to flexibly choose their infrastructure and give them options to build, migrate, and deploy across multiple environments on-premises, in the cloud, or at the edge. Our philosophy is to give developers the best technology as quickly as possible.
Deploying SUSE SAP HA Automation in Microsoft Azure
Why automation Maintaining a competitive advantage often depends on how quickly you can deliver new services. SAP applications are designed to help companies analyze data to anticipate new requirements and rapidly deliver new products and services. This gives you the ability to keep existing customers happy while attracting new business.
How to monitor your Azure infrastructure with Filebeat and Elastic Observability
Overview The ability to access the internal state of your application ecosystem is critical to optimizing your applications and the experience of your users.
Accelerate and simplify Scikit-learn model inference with ONNX Runtime
Scikit-learn is one of the most useful libraries for general machine learning in Python. To minimize the cost of deployment and avoid discrepancies, deploying scikit-learn models to production usually leverages Docker containers and pickle, the object serialization module of the Python standard library.
Introducing the Cluster API Provider for Azure (CAPZ) for Kubernetes cluster management
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.
ONNX Runtime scenario highlight: Vespa.ai integration
Since its open source debut two years ago, ONNX Runtime has seen strong growth with performance improvements, expanded platform and device compatibility, hardware accelerator support, an extension to training acceleration, and more.
Cloudera Data Platform’s integration with Azure delivers enterprise security and governance
Modern analytics and the resulting business insights unlock new opportunities to optimize company performance and open new revenue streams. Since these initiatives also heighten the need for greater security and governance of company data, Identity and Access Management (IAM) needs to be a foundational component of any corporate security plan that covers company data.
How to optimize Azure Machine Learning for IoT production usage
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.