Azure solution architectures

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

Ops automation using Event GridEvent Grid allows you to speed automation and simplify policy enforcement. For example, Event Grid can notify Azure Automation when a virtual machine is created, or a SQL Database is spun up. These events can be used to automatically check that service configurations are compliant, put metadata into operations tools, tag virtual machines, or file work items.

Ops automation using Event Grid

Event Grid allows you to speed automation and simplify policy enforcement. For example, Event Grid can notify Azure Automation when a virtual machine is created, or a SQL Database is spun up. These events can be used to automatically check that service configurations are compliant, put metadata into operations tools, tag virtual machines, or file work items.

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Data cacheAzure Cache for Redis perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents and more using a common cache-aside pattern.

Data cache

Azure Cache for Redis perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.

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Demand ForecastingAccurately forecasting spikes in demand for products and services can give a company a competitive advantage. This solution focuses on demand forecasting within the energy sector.

Demand Forecasting

Accurately forecasting spikes in demand for products and services can give a company a competitive advantage. This solution focuses on demand forecasting within the energy sector.

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Demand Forecasting and Price OptimizationPricing is recognized as a pivotal determinant of success in many industries and can be one of the most challenging tasks. Companies often struggle with several aspects of the pricing process, including accurately forecasting the financial impact of potential tactics, taking reasonable consideration of core business constraints, and fairly validating the executed pricing decisions. Expanding product offerings add further computational requirements to make real-time pricing decisions, compounding the difficulty of this already overwhelming task.

Demand Forecasting and Price Optimization

Pricing is recognized as a pivotal determinant of success in many industries and can be one of the most challenging tasks. Companies often struggle with several aspects of the pricing process, including accurately forecasting the financial impact of potential tactics, taking reasonable consideration of core business constraints, and fairly validating the executed pricing decisions. Expanding product offerings add further computational requirements to make real-time pricing decisions, compounding the difficulty of this already overwhelming task.

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