Massive migration to the public cloud is changing architecture patterns, operating principles, and governance models. That means new approaches are vital to get a handle on soaring cloud spend. Because the cloud’s short-term billing cycles call for financial discipline, you must empower end-users to monitor the financial impact of their decisions and give them the tools to optimize for cost and good governance.  
Making the Right Decisions on AWS Using Data-Driven Approaches
On Wednesday, February 13, 2019, HyperGrid™ and CloudAcademy will host a webinar “Best Practices to Optimize Costs and Govern AWS at Scale” (register here in advance). We will take a closer look at key strategies to help you manage costs, continuously optimize, and govern AWS. We will also be addressing the common mistakes and how to use data-driven approaches to answer the questions we’ve outlined here in this post.
Upcoming Webinar Key Takeaways:

Get a close look at the top 10 common mistakes to avoid on AWS
How to implement strategies and best practices to continuously optimize, reduce costs, increase ROI, and avoid security and governance pitfalls
How to make data-driven decisions that take advantage of arbitrage opportunities within AWS

Let’s look at the top 10 mistakes made when managing resources on AWS:
1. Are you provisioning the capacity you need—no more, no less?
According to 451Research at HCTS Conference this year, it’s been reported that cost is the top enterprise pain point when operating in the cloud. We know that AWS EC2 instance types are sized and priced exponentially. With millions of sizing options and pricing points, choosing the wrong instance type can mean a major pricing premium—or worse, a substantial performance penalty!We see many organizations choose an instance type based on generic guidelines that do not take their specific requirements into account.
2. Do you continuously re-look at instance usage and costs?
AWS expands its choices

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