Are you taking advantage of the innovations of CSPs?

Are you taking advantage of the innovations of CSPs?

What's the one thing that's common amongst popular cloud service providers like AWS, Azure and GCP? Or for that matter any technology driven company? It's innovation and constant innovation. Innovation always is about passing more benefits to the customer. If not, what's the use of innovating. Now the big question is, As customers are you leaving the money on the table? Are you equipped enough to absorb the benefits of constant innovation.

Of course this topic is broad. But i am limiting this blog for the CSPs only. And here's some data to show.

Evolution of AWS EC2 Offerings (Not a complete list)
Evolution of Azure compute offerings (Not a complete list)

As you can see above, constant innovations keep happening. Improvising from T1 to T3 (Incorporating new processor types, various instance types, improving CPU credit systems, better price points and availability across regions and more). Am sure AWS Cloud architects will be able to delve more into relative benefits of all the EC2 offerings listed above. Similar is the case with Microsoft Azure and GCP Architects as well.

To add to the complexity, let's delve a little bit into the various instance types within T1, T2 and T3, to take an example.

Various instance types in T1, T2, T3 Offerings - AWS EC2

A bit of maths here. Brush up your understanding of Permutations and Combinations. The calculation below is for a single cloud. Now, you need add a factor for multi-cloud as well. Please comment in the blog below, on what the humongous combinations are, for your deployment scenario.

To calculate the number of choices and permutations, we need to multiply the number of options for each factor:

1. Let's say there are "f" instance families (Check the picture above for what "f" is for AWS, Azure and GCP)
2. Let's say there are "n" instance types per family
3. Let's say there are "c" CPU configurations per instance type
4. Let's say there are "m" memory options per instance type
5. Let's say there are "s" storage types per instance type

Total number of choices can be calculated as:

Total Choices (For a single cloud) = f x n x c x m x s
        

Now few questions for you to answer:

  1. What is the size of your VM deployment in Cloud? Is it in tens or hundreds?
  2. Are you on a single-cloud or in a multi-cloud or in a Hybrid cloud model?
  3. Are you sure that your VM instances are of the right type, as you deploy?
  4. How often do you reassess, if the applications are running on the right instance type? Unlike Onprem, you would know Cloud is a dynamic environment. Doing it once, won't cut it.
  5. Are you sure that you are exploiting the innovations provided by the CSPs?
  6. And most importantly, How are you assuring that the applications running on the VMs has the right resources allocated to them, at the right cost?

Studies suggest that 32% of the cloud spend is wasted, while the cost of downtime for a revenue-generating application is as much as $200,000 per hour. The right balance is about delivering on the business outcomes without overspending

So, what's the answer?

With Turbonomic , you can:

  • Continuously automate critical actions in real-time without human intervention
  • Proactively deliver the most efficient compute, storage, and network resources across your stacks
  • Avoid over-provisioning resources to your cloud environment
  • Increase ROI and lower your cloud bill by using only what you need




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