The world is changing, with new AI tools emerging every day. One such tool that has been making waves recently is ChatGPT. It is only the first of many such tools hitting the market, and it urges us to think about the future of our work. I recently used it to help with a standard task that I often perform and was amazed by how well it helped me to automate it.
When deciding which Infrastructure as Code tool to use for deploying resources in AWS, Terraform is often a favored choice and should therefore be a staple in every DevOps Engineer’s toolbox. While Terraform can increase your team’s performanc
I was searching for an AWS-native solution that would deploy resources via Terraform, allow them to do some work, and then destroy them properly without leaving any orphaned resources. Also, multiple of those Terraform deployments needed to be live at the
Presentation Deploying resources with infrastructure as code is the recommended way to provision resources in AWS. The native AWS-way of doing it is by using Cloudformation or CDK (Cloud Development Kit), and you should of course do this from day one. But
Managing multiple environments in Terraform Introduction I recently started learning Terraform. For those who haven’t encountered it: Terraform is in essence a framework to describe Infrastructure as code by Hashicorp. When I began doing that, I was
Building Lambda Functions with Terraform Introduction Many of us use Terraform to manage our infrastructure as code. As AWS users, Lambda functions tend to be an important part of our infrastructure and its automation. Deploying - and especially building