Sourcing and analysing business data can be a time-consuming and labour-intensive process, particularly managing Amazon Web Services infrastructure.
Hours can be spent interpreting the data necessary for a business to make informed decisions.
Sydney startup GorillaStack identified this was a common problem for business while working on another startup idea entirely.
“We were working on something very different in fact, and… we were using AWS and it became apparent that actually we were better at building tools to manage our infrastructure than the product that we were building itself,” co-founder Oliver Berger told Business Insider.
“So while we were working on an app to give people the best prices on bottle shops in the area, Amazon was providing great infrastructure for us but we were building tools to optimise it and leverage it even more than what they have provided.”
He said this was the moment where it became apparent they were working on the wrong product.
“We handed it out to other startups we knew and then some bigger organisations got a hold of it and before we knew it we actually had a business with the AWS optimisation and automatisation, rather than bottle shop prices.
“It feels like a lifetime ago that we were trying to find the best deal for beer.”
Now the company counts Disney, HBO and Vodafone as part of its growing customer base.
The software vendor, which launched in 2015, provides companies with tools that automate their cloud infrastructure to deliver information to improve business operations.
If you need that broken down a little further to understand, here’s how Berger explains it.
“Amazon Web Services is a cloud platform, this is an awesome place to keep your infrastructure, running compute, and managing storage and security and a number of things,” he said.
“As a result of having your infrastructure in the cloud, Amazon sends you all this information in the form of what they call CloudTrail.
“So that when things happen in your cloud every second, every minute, every day … and they can send to you through, you know, thousands of data depending on the size of your infrastructure or even more.
“What we have built is a way to filter out all the information that Amazon is sending you, so that the interesting and useful event, [is delivered to the] relevant people who can then take the correct action as a result.”
The software that Berger and his co-founders created is designed to do the heavy lifting on infrastructure management so you can work on more meaningful projects.
And its application in the workplace could be a game changer.
According to Berger, this type of software is just the start in how the workplace is going to change.
“The more artificial intelligence (AI) and machine learning that can come into the workplace to take care of what we call ‘undifferentiated heavy lifting’ then it allows people to spend that valuable time doing jobs that are really making a difference and pushing that organisation forward,” he says.
The latest tool from the startup, GorillaStack SlackBot, plugs this software into the messaging platform Slack to allow teams to communicate better.
“We see the future of workplace becoming much more [reliant on] specific channels (such as Slack) for dealing and executing on business issues… because they allow for much more specific use cases,” he says.
As email has become “too general”, Berger says the modern workplace will seek flexibility that new digital tools offer in terms of sharing information, instantly tagging people and searching previous discussion topics.
“It just makes sense for communication in the future,” he says.
“The nature of the way the workforce is changing their approach to work, allows the rise of channels that are very specific to the work that’s being done.
“With the distributed nature of teams, the ability of anyone to jump into a conversation from anywhere in the world in real time again that feels very much like as though it’s keeping up pace with the way the workforce is evolving.”
Moving forward Berger sees AI only continuing to streamline communication.
“I think you’ll see AI and [machine learning] looking at patterns and saying ‘OK, who was last person to deal with the scenario, how did they deal with this type of scenario, OK this is how we will treat this.’
“AI will hone in on what’s important and who’s important from a communication perspective.”
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