Azure solution architectures

Architectures to help you design and implement secure, highly available, high-performance, resilient solutions on Azure.

Medical data storageCloud and hybrid solutions from Microsoft help you manage medical data storage efficiently and cost effectively, while infusing intelligence and maintaining compliance.123456

Medical data storage

Cloud and hybrid solutions from Microsoft help you manage medical data storage efficiently and cost effectively, while infusing intelligence and maintaining compliance.

Learn more
Build high availability into your BCDR strategyVirtual machines (VMs) are physically separated across zones, and a virtual network is created using load balancers at each site. These locations are close enough for high availability replication, so your applications stay running, despite any issues at the physical locations.1234567

Build high availability into your BCDR strategy

Virtual machines (VMs) are physically separated across zones, and a virtual network is created using load balancers at each site. These locations are close enough for high availability replication, so your applications stay running, despite any issues at the physical locations.

Learn more
Energy Supply OptimizationIn an energy grid, energy consumers are engaged with various types of energy supplying, trading and storage components such as substations, batteries, wind farms, solar panels, micro-turbines and demand response bids to meet their respective demands and minimise the cost of energy commitment. To achieve this, the grid operator must determine how much energy each type of resource should commit over a given time frame, given the prices of soliciting different types of resources and the capacities and physical characteristics of each of them.

Energy Supply Optimization

In an energy grid, energy consumers are engaged with various types of energy supplying, trading, and storage components such as substations, batteries, windfarms and solar panels, micro-turbines, as well as demand response bids, to meet their respective demands and minimize the cost of energy commitment. To do so, the grid operator must determine how much energy each type of the resources should commit over a time frame, given the prices of soliciting different types of resources and the capacities and the physical characteristics of them.

Learn more