AZURE DATABASE OPTIMISATION SERVICE

Get more out of your IT budget for less

Many organisations notice that moving to the cloud can become expensive, and want to reduce costs.

Traditional IT investments are a capital expense you don’t think about for a couple of years. In this mindset, companies will deploy for the future, and will buy more RAM or CPU for their organization to grow into. However, this way of thinking is not suitable for the cloud. Often, organizations find their bills increasing every month.

WARDY IT Solutions is offering an Azure Database Optimisation Service. We understand IT budgets are finite, so we will look at how you can do more with less.

HOW DOES THE AZURE DATABASE OPTIMISATION SERVICE HELP?

We understand IT budgets are finite

We will help you get more out of your budget by optimising your resource use.

Move away from ‘old school’ methods of deployment

We will refresh your understanding of the elasticity that the cloud provides. Many organisations are stuck using ‘old school’ methods of deployment.

Data Platform

We will provide modern methods of resource deployment

Your resources don’t need to be running 24/7. We’ll show you how to optimise your Azure Database for the most cost effective results.

WHAT’S INVOLVED IN THE AZURE DATABASE OPTIMISATION SERVICE?

Phase 1: Bill Optimisation

We’ll take your existing monthly Azure Bill, and assess each resource individually. We’ll optimise your costs by assessing your bills against different models. This will help to ensure you are procuring in an effective manner. From here, we will recommend the best licensing model for you, and outline its costs.

Phase 2: Resources

We assess what resources you are utilising, and the workload patterns of your organization. This means closing off applications that don’t run after hours and on weekends.

As part of this service, we will implement any licensing model you select, and walk you through its processes. Alternatively, we can provide a proposal so that you can implement our resourcing recommendations.

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