Easily Rightsize AWS EC2 Costs and Resources with Automation

Easily Rightsize AWS EC2 Costs and Resources with Automation

Author: Guy Nadivi

I don’t need to remind anyone that we’re in the midst of a global pandemic. When the crisis began, it forced lots of people to work from home, creating a sudden surge in remote workers. Many organizations scrambled to accommodate this shift in work environments by quickly assigning them resources from cloud-based providers like Amazon Web Services (AWS). The good part of that was how rapidly IT Ops teams were able to pivot and accommodate this shift to maintain business continuity. The bad part was they’re now realizing their cloud expenses skyrocketed, and they need to go back and revisit their initial resource instantiations to optimize both the resources and their attendant costs.

Now when it comes to AWS, there’s good reason why lots of organizations are migrating there. AWS, as many of you probably already know, is currently King of the Mountain among cloud infrastructure service providers.

But did you know that their market share is so big, it’s actually greater than the next 3 providers combined? These aren’t no-name brands either. We’re talking about Microsoft Azure, Google Cloud, and IBM Cloud. Even if you bundle up their respective market shares together into one, AWS still exceeds them all.

Those of you already familiar with the Ayehu NG platform know that one of our core strengths is easy interoperability with many categories of enterprise infrastructure systems, platforms, and tools.

Our goal from day one has been to enable organizations to seamlessly integrate Ayehu with just about anything in their data center, and to do so without the need to write even one line of code. We want to be your single pane of glass for orchestrating automation across any platform in your environment, and we do that by making it as simple as possible to connect as many things as possible in your enterprise solutions stack.

Increasingly, our integration with environments like AWS have been getting more popular, as organizations migrate their infrastructures and computing workload to the cloud. That’s true especially since the start of the pandemic, when many organizations had to rapidly pivot in order to accommodate work from home environments.

We expect this trend of migrating to the cloud will continue growing in popularity. A company called RightScale published a report recently estimating that the average business already uses the public cloud for 38% of their workloads, and the private cloud for 41%. However, all indications are pointing to more and more corporate workloads shifting to the public cloud.

An organization called Datometry surveyed 166 executives to find out the reasons organizations were migrating to the cloud, and the #1 reason cited by over 60% of respondents was cost cutting to save money. Probably not too big a surprise there.

Given all this cloud migration, the idea of proactively rightsizing AWS EC2 instances in order to cut their costs is a fantastic real-world use case for AIOps and Automation.

AIOps is something everybody’s heard a lot about the last few years. This Gartner graphic, which might be familiar to many already, is a great visualization of the 3 main components that make up an AIOps environment:

  • Monitoring (to Observe)
  • Service Desk (to Engage)
  • and Automation (to Act)

It’s that last part that Ayehu focuses on, obviously, and in all the excitement about AI, machine learning, and big data driving the continuous insights and business value for AIOps, we think it’s important not to lose sight of the fact that automation, there on the bottom, is where the rubber meets the road. It’s where the output from observing and engaging gets put to practical use, to do things like rightsize AWS EC2 instances to save money.

If you’re wondering how to visualize that, think of a relay race where runners race as a team.

In the top two segments of Gartner’s graphic, an AIOps vendor like Virtana performs their magic in the form of AIOps computations that produce a recommendation on what to do next.

Ayehu, the next runner in the relay race, takes the baton from Virtana, which triggers AIOps-grade automation to carry out Virtana’s recommendation.

In this race though, it’s the IT Operations team leveraging AIOps and Automation that crosses the finish line as the winner. That’s because the combination of AIOps and Automation not only saves on costs and resources for your cloud environment, but it frees up your staff for other more strategic tasks.

When you consider the volume of EC2 instances many organizations work with, you’ll quickly realize that AIOps combined with automation can be a real force multiplier for your IT Operations Management team.

If you’re interested in test driving Ayehu NG as the automation platform that can automate rightsizing of your AWS EC2 instances, download your very own free 30-day trial version today by clicking here.