For the 3rd year in a row, Amazon Web Services has allocated part of its Cost Optimisation track at re:Invent to highlighting the benefits of GorillaStack as a part of an organisation’s tooling.
In 2016, Keith Jarrett used a case study of GorillaStack’s AWS automation engine to highlight 60%+ cost savings for a major technology organisation – savings gained from automating elasticity in non production environments.
This year however, Gulshan Kharbanda advised organisations to get really organised around tagging to create a strong foundation on which to build a fully cost optimised environment. In doing so, AWS recommends GorillaStack’s open source Auto Tag as a way to make sure resources are constantly being tagged with the creator’s ARN.
In the coming months we’ll be evolving Auto Tag beyond code into our full product, allowing users to set rules around how to tag resources and how to treat resources that are either not tagged or erroneously tagged. If you’d like to know more, please get in touch!