Explore the core principles and methodologies that drive success on Azure with our curated Best Practices content. It’s the blueprint for building and maintaining solutions that are not only robust and secure but also efficient and forward-thinking.
Today’s question and answer style post covers an interview between Siddharth Deekshit, Program Manager, Azure Site Recovery engineering and Bryan Heymann, Head of Cloud Architecture, Finastra.
It’s exciting to see the PyTorch Community continue to grow and regularly release updated versions of PyTorch! Recent releases improve performance, ONNX export, TorchScript, C++ frontend, JIT, and distributed training. Several new experimental features, such as quantization, have also been introduced.
Enterprises are embracing the cloud to run their mission-critical workloads. The number of connected devices on and off-premises, and the data they generate continue to increase requiring new enterprise network edge architectures.
Congratulations to the TensorFlow community on the release of TensorFlow 2.0! In this blog, we aim to highlight some of the ways that Azure can streamline the building, training, and deployment of your TensorFlow model.
Azure Site Recovery now supports customization of networking configurations for test failover independent of failover settings.
Azure Machine Learning is the center for all things machine learning on Azure, be it creating new models, deploying models, managing a model repository and/or automating the entire CI/CD pipeline for machine learning.
Today, most applications are running online transactional processing (OLTP) transactions.
Robust SAP on Azure Architectures are built on the pillars of Security, Performance and Scalability, Availability and Recoverability, and Efficiency and Operations.
More companies are choosing Azure for their SQL workloads, and it is easy to see why.
This is the second in a four-part blog series on Designing A Great SAP on Azure Architecture. Robust SAP on Azure Architectures are built on the pillars of Security, Performance and Scalability, Availability and Recoverability, Efficiency and Operations.
A data-driven culture is critical for businesses to thrive in today’s environment. In fact, a brand-new Harvard Business Review Analytic Services survey found that companies who embrace a data-driven culture experience a 4x improvement in revenue performance and better customer satisfaction.
To get the most out of your Azure investment and run as efficiently as possible, we recommend that you regularly review and optimize your resources for high availability, security, performance, and cost.
