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Chapter 1

Foreword

Chapter 2

Executive summary

Chapter 5

5(+1) ways

Chapter 6

Conclusion

Chapter 7

Food for thought

Chapter 8

Sources

Chapter 1

Foreword

Chapter 2

Executive summary

Chapter 5

5(+1) ways

Chapter 6

Conclusion

Chapter 7

Food for thought

Chapter 8

Sources

Chapter 2

Executive summary

Traditionally Data Center businesses are working with fixed spending, as the Data Center world is not providing many other options. Once the money is spent, optimization options are limited. Optimizations in one area result in spending going up in another area, and resources are
always constrained. It takes weeks (and due to COVID-19 even months), to get new hardware up and running. Spending, tracking, and forecasting are fixed and controlled, with little to no variability.

In the past DevOps and Agile have broken the traditional procurement model, since teams could deliver features quicker, leaner, and more agile and because of that didn’t want to wait for weeks or months for their wanted resources to be available anymore.

In today’s cloud-first world, businesses are struggling to catch up to get into a model which is variable by nature. Almost all cloud spending is variable, which means that optimizations can happen. Cloud cost optimization is the process of reducing your overall cloud spending by identifying mismanaged resources, eliminating waste, reserving capacity for higher discounts, and right size storage services to scale. Cost optimization allows you to be informed on what cloud costs you have control of and makes it easier to manage the cost optimization within
your cloud environment.

DevOps, Agile, and today’s cloud-first world have broken the traditional procurement model which resulted in procurement departments being out of sync with the IT expenditures and the IT engineers spending the money with few boundaries, control, or insight.

With this Quarterly Outlook, we will give you 5(+1) ways to get a better understanding of your cost and solutions on how to control your cloud IT costs.