Connecting What I Learned at AWS Summit Chicago to IT Operations
Brien Lay | August 9, 2018

AWS is enabling innovation for the masses. From serverless to AI, AWS is working to take the complexity out of IT.

AWS is enabling innovation for the masses. From serverless to AI, AWS is working to take the complexity out of IT.

I recently had the pleasure of working the AWS Summit in Chicago. There were about 6,500 attendees and over 100 sessions. Amazon is one of the most innovative companies on the planet, and what follows are some common themes I heard throughout the event.

Back in 2010, my old hosting group at CSC (Computer Sciences Corporation, now DXC) started using AWS. We would get AWS instances spun up to get around our internal processes. It would take about two weeks to get a VM spun up, or a month for a physical machine using our outdated processes and procedures, but we could get an AWS instance spun up in about 15 minutes using our corporate card, so that is what we did when time did not permit.

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No longer do organizations need to staff up with data scientists nor partner with academia to create powerful machine learning algorithms.

I remember really disliking the word “cloud” back then. We hosted infrastructure, network, OS, and apps, and did almost the same thing, but never referred to what we did as “cloud hosting.”  Just hosting. I got over my aversion to the word “cloud,” and now can’t imagine a world without the cloud. Chances are that, even if you don’t use a computer, AWS has had an impact on your life via the products or services you use.

A Modern AWS Cloud for Modern Operations

There were three main themes presented by keynote speaker Stephen Orban at AWS Summit in Chicago.  

  1. Everyone is a builder.  
  2. Serverless is the future.  
  3. AI and ML for the masses.

Who are the builders? As you can see from the image above, we are all builders. Development of applications is no longer limited to coders. AWS continues to take the complexity out of IT, not just on the infrastructure and administration side of the house, but also on the dev side. No longer are we reliant on the programmer to create world-class apps.

Do IT Operations or DevOps professionals need to create an automation workflow to promote code? No problem. Does the CxO want to create some reports hitting different data sources, but can’t handle doing anything very complex? No problem.

AWS wants to empower all users to be able to create and build, just like Moogsoft wants to enable all of IT to have a single source of truth for incident management. Empowering employees and giving up some level of control yields amazing results.

Serverless is taking over in popularity. All one needs to worry about is the application code. No need to worry about the infrastructure, networking, or administrative aspects of keeping the system up and running. AWS Lambda was introduced in 2014 and its popularity has spread like those pesky wildfires in California. Lambda is an event-driven computing platform developed by Amazon to automatically fire, or execute code, when a specific event occurs. Lambda executes code only when needed and scales automatically, providing potential cost savings and flexibility. ITOps, DevOps, and AIOps teams find themselves in a position where they need to learn adopt to change or face irrelevancy. Another way to refer to serverless is Function As A Service (FaaS). It’s the next logical step in compute after containerization and allows even more innovation and faster speed to market than ever before. Serverless and FaaS are enabling thousands of startups to quickly become relevant and in some cases, compete with the well-established players. It’s as if David has been armed with a shoulder-fired missile instead of the rock he used to take down Goliath.

The last is the area of AI. Advancements in AI have lead and will continue leading massive innovation across all vertices regardless of the size of the company. AWS is bringing machine learning to the masses. I work for Moogsoft, an AIOps company that applies patented algorithms and a built-in workflow to solve complex operational use cases, including reducing noise, MTTR, and ticket volume.

We hired a bunch of data scientists and created unique partnerships with academia to feed our data science pipeline and ML capabilities. The reason this is important is that this development came at an extremely high cost and took considerable time. Not many startups can afford the sort of investment Moogsoft made in AI.

Similar to how Moogsoft has disrupted incident management, Amazon SageMaker is doing the same for open source AI. According to Amazon, “Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.” No longer do organizations need to staff up with data scientists nor partner with academia to create powerful machine learning algorithms.

The pace of innovation coupled with the massive investments Amazon has made in the cloud have fueled, and will continue fueling, widespread innovation across all industries regardless of company size.

Moogsoft is proud to be an Amazon partner, and we see our relationship as strategic to our growth. We will be at the upcoming AWS Summits, including the one in Anaheim, CA on August 23. Please stop by and see why Moogsoft is to AIOps innovation as AWS is to cloud innovation.  

Moogsoft is the AI-driven observability leader that provides intelligent monitoring solutions for smart DevOps. Moogsoft delivers the most advanced cloud-native, self-service platform for software engineers, developers and operators to instantly see everything, know what’s wrong and fix things faster.
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About the author

Brien Lay

Brien Lay is a Strategic Architect at Moogsoft. Prior to working at Moogsoft, Brien was a Sales Engineer at Dynatrace, and prior to that he was a developer and systems administrator at CSC. Brien is also a former Army officer, and is a graduate of The Citadel.

All Posts by Brien Lay

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